Podcasts about jhu

When Ashley Womble decides she wants to start a family, she worries she'll need to stop taking her antidepressant medication. Instead of finding clear guidance, she runs head-first into a troubling reality: many of the questions pregnant women and their physicians face about medication safety remain difficult to answer because pregnant women have historically been excluded from medical research. This episode looks at the ethical trade offs of leaving pregnant women out of medical research—and what happens when they and their doctors must make high stakes healthcare decisions without high quality evidence.This episode features:Ashley Womble, MPH: Writer and marketing professional.Ruth Faden, PhD, MPH: Philip Franklin Wagley Professor of Biomedical Ethics at the Johns Hopkins Berman Institute of Bioethics.Crystal Clark, MD, MSc: Associate Professor, Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto.Marika Toscano, MD, MS: Assistant Professor of Gynecology and Obstetrics at Johns Hopkins University School of Medicine.This episode contains references to suicide, which may be distressing for some listeners. If you or someone you know is struggling, support is available.In the U.S., you can call or text the Suicide and Crisis Lifeline at 988 or the National Maternal Mental Health Hotline at 1-833-TLC-MAMA.For listeners outside the U.S., the International Association for Suicide Prevention can help connect you with support in your area: www.iasp.info/suicidalthoughts/“playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e6.The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

Rebecca Morrison is healthy by many measures. But like millions of people today, she finds herself wondering whether or not she should be taking a GLP-1 drug. What's the right thing to do? This episode explores how this new class of weight loss drugs is reshaping our healthcare choices, and the landscape in which we make them.You can read more about Rebecca Morrison's story in her novel, The Blue Dress, released March 2026. This episode features:Rebecca K. Morrison: Writer.Mara Gordon, MD: Primary Care Physician at Cooper University Hospital and Assistant Professor of Family Medicine at Cooper Medical School of Rowan University.Alexandra Brewis, PhD: Regents Professor and President's Professor at the School of Human Evolution and Social Change at Arizona State University.Jeffrey Kahn, PhD, MPH: Andreas C. Dracopoulos Director of the Johns Hopkins Berman Institute of Bioethics.“playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e5.The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

After losing their son Noahto to mitochondrial disease, Kristelle and Evan Shulman are determined that his death will not be in vain, holding fast to their dream of having healthy, biologically-related children. This search leads them abroad in pursuit of an emerging reproductive technology, one filled with scientific promise, but also ethical questions, financial strain, and profound uncertainty. This episode explores how families and physicians make decisions when novel approaches can reduce risk, but never eliminate it. (Part 2 of 2.)This episode features:Kristelle and Evan Shulman: Parents navigating mitochondrial disease and reproductive decisionmaking.Marni Falk, MD: Attending physician and Executive Director of the Mitochondrial Medicine Frontier Program at Children's Hospital of Philadelphia and Professor in the Division of Human Genetics, Department of Pediatrics at the University of Pennsylvania Perelman School of Medicine.Jeffrey Kahn, PhD, MPH: Andreas C. Dracopoulos Director of the Johns Hopkins Berman Institute of Bioethics.“playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e4.The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

When Kristelle and Evan Shulman lose their young son Noah to a rare mitochondrial disease, they are told they may never be able to have a healthy biologically related child. Then they discover mitochondrial replacement technology, or MRT, a controversial procedure that could prevent the disease from being passed on to future generations. This episode explores how families, clinicians, and policymakers grapple with the ethics of novel reproductive technologies that offer extraordinary hope amid profound uncertainty. (Part 1 of 2.)This episode features:Kristelle and Evan Shulman: Parents navigating mitochondrial disease and reproductive decision-making.Marni Falk, MD: Attending physician and Executive Director of the Mitochondrial Medicine Frontier Program at Children's Hospital of Philadelphia and Professor in the Division of Human Genetics, Department of Pediatrics at the University of Pennsylvania Perelman School of Medicine.Jeffrey Kahn, PhD, MPH: Andreas C. Dracopoulos Director of the Johns Hopkins Berman Institute of Bioethics.“playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e3.The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

Humanity is actively working towards a mission to Mars. When astronauts like Bernard Harris leave Earth, they accept risk as part of the mission. But a journey to Mars would push that risk into entirely new territory—where help is unreachable, uncertainty is unavoidable, and coming home may not be an option. This episode explores how space agencies, astronauts, and all of us need to grapple with how much risk is ethically acceptable for individuals to take on in pursuit of societal benefit, and who gets to decide. This episode features:Bernard A. Harris Jr., MD: former NASA astronaut.James D. Polk, DO: Chief Health and Medical Officer of NASA.Jeffrey Kahn, PhD, MPH: Andreas C. Dracopoulos Director of the Johns Hopkins Berman Institute of Bioethics.“playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e2.The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

When journalist Esmé Deprez receives a text from her father, Ron Deprez, asking for help to die, she enters one of the most ethically fraught spaces in modern medicine: Medical Aid in Dying (MAiD). This episode explores what it means to assist a loved one's death under MAiD law—and how personal compassion collides with professional and societal ethics.This episode features:Esmé E. Deprez: Writer and investigative journalist. Jeffrey Kahn, PhD, MPH: Andreas C. Dracopoulos Director of the Johns Hopkins Berman Institute of Bioethics.Jennifer Eitingon, MD: Medical Director of Monument Health Hospice and Inpatient Palliative Care Attending Physician.You can see photos and read more about Esmé and Ron Deprez's story in her 2021 essay, “Death With Dignity: How I Helped My Dad Die.” “playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e1 The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

Special discounts up for AIE Melbourne (LS discount) and AIE World's Fair (group discounts up to 25% - CFPs still open for Autoresearch and Vertical AI) Cya there!Abridge did not start as an “GPT wrapper”. It was founded in 2018, years before the Cambrian explosion of AI application layer companies. OpenAI launched ChatGPT publicly on November 30, 2022 and by then, Abridge had already spent years doing the unglamorous work of building trust for one of the highest context, most important workflows in healthcare: the conversation between a patient and a clinician.Abridge's original wedge was clinical documentation. Listen to the visit, generate the note, reduce the clerical burden, and let clinicians spend more time with patients instead of the EHR. By focusing on how doctors actually document, how health systems actually buy, how EHR integration actually works, how clinicians verify outputs, and how missing context during a visit turns into downstream friction across billing, prior authorization, quality, and follow-up, the adoption of LLMs became a force multiplier on a workflow already optimized for sensitive context gathering.The company has scaled fast: Abridge says it is projected to support 80M+ patient-clinician conversations this year across 250 large and complex U.S. health systems, with support for 28+ languages and 50+ specialties. It raised $300M at a $5.3B valuation in June 2025, after a $250M round earlier that year.Today, Janie Lee and Chaitanya “Chai” Asawa of Abridge join us for another crossover pod with Redpoint's Jacob Effron (who is on the board of Abridge) to dive into how Abridge is building the clinical intelligence layer for healthcare starting with ambient documentation, then expanding into clinical decision support, prior authorization, payer/provider/pharma workflows, and eventually real-time agents that act before, during, and after the patient conversation. We go inside the product, data, infra, evals, workflow, privacy, and org design choices behind bringing AI into one of the highest-stakes enterprise environments from 100M+ medical conversations and specialty-specific evals to real-time alerts, EHR integration, de-identification, clinician-scientist teams, and why healthcare may solve some of the hardest AI problems first.We discuss:* Why Abridge started with clinical documentation, “pajama time,” and saving clinicians 10–20 hours a week* The transition from ambient scribe to clinical intelligence layer: save time, save money, and save lives* Why conversations between patients and clinicians may be the most important workflow in healthcare (patient visit summary feature)* Chai's “healthcare-coded Glean” framing: context is king, but healthcare raises the stakes on safety, evals, and rollout* Why Abridge wants AI to feel like “air conditioning”: always in the background, but only interrupting when it truly matters* The prior authorization example: turning a denied MRI weeks later into real-time guidance while the patient is still in the room* Why payer policies, EHR data, medical literature, and hospital-specific guidelines make the problem hard, and also create the moat* How Abridge thinks about ambient form factors: mobile, desktop, in-room devices, nursing workflows, multimodality, and future AR* The multi-sided healthcare customer: CMIOs, CFOs, CIOs, clinicians, patients, payers, and pharma* The hardest AI problem at Abridge: high-quality, low-latency, low-cost real-time support in a high-stakes clinical setting* When Abridge uses frontier models vs proprietary models, and why its unique data from medical conversations matters* Why “every agent is a coding agent underneath,” and how the EHR can be thought of as a filesystem for healthcare agents* How Abridge approaches personalization across individual doctors, specialties, and health systems* Why “AI slop” is AI without context, and how edits, memories, and clinician preferences create a data flywheel* Abridge's eval stack: LFDs, LLM judges, in-house clinicians, third-party evaluators, specialty-specific evals, and progressive rollout* HIPAA, PHI, de-identification, one-way anonymization, customer contracts, and learning from healthcare data safely* What changes when you operate at 100M+ conversations: reliability, cost, post-training, model routing, and infrastructure optimization* Why the same clinical conversation can serve doctors, patients, payers, pharma, and future clinical-trial workflows* How Abridge works with EHRs, and why deep interoperability is table stakes for clinician adoption* Why healthcare AI has regulatory tailwinds, why 80/20 does not work here, and why high-stakes domains may drive AI forward* Why Abridge embeds “clinician scientists” into product and eval teams* What Chai learned from Glean about search, quality, and durable AI infrastructure* Why the future of AI infra may look like context layers, event-driven systems, Kafka, Temporal, sockets, CRDTs, and tools built for humans* Why Janie changed her mind on “PRDs are dead,” and why crisp written clarity matters more in complex AI products* How Abridge uses Claude Code, Cursor, and coding agents internallyAbridge:* Website: https://www.abridge.com/* X: https://x.com/AbridgeHQJanie Lee:* LinkedIn: https://www.linkedin.com/in/janiejleeChaitanya “Chai” Asawa:* LinkedIn: https://www.linkedin.com/in/casawaTimestamps00:00:00 Introduction and what Abridge does00:02:05 From ambient documentation to clinical intelligence00:04:04 Clinical decision support and context as king00:06:57 Alert fatigue, proactive intelligence, and prior authorization00:12:36 Ambient AI form factors and healthcare customers00:16:59 The hardest AI problems in healthcare00:18:26 Frontier models, proprietary data, and model strategy00:21:07 The EHR as a filesystem for agents00:24:03 Personalization, memory, and clinician preferences00:30:40 Evals, LLM judges, and progressive rollout00:36:47 HIPAA, de-identification, and privacy00:39:21 100M conversations and operating at scale00:44:10 EHR integration and the clinical intelligence layer00:46:39 Healthcare regulation, latency, and high-stakes AI00:50:11 Clinician scientists and long-tail quality00:53:04 Lessons from Glean and durable AI infrastructure00:57:03 The future of agentic healthcare workflows00:57:34 PRDs, product clarity, and building serious AI products01:03:11 AI coding tools at Abridge01:04:06 OutroTranscriptIntroduction: Abridge, Clinical Intelligence, and the Latent Space x Unsupervised Learning CrossoverSwyx [00:00:00]: Okay. This is a special crossover Latent Space Unsupervised Learning pod.Jacob [00:00:07]: Very excited to do this.Jacob [00:00:08]: At this point, we get together once a year.Swyx [00:00:10]: Once a yearJacob [00:00:11]: And this is a fun occasion to get to do it on.Swyx [00:00:13]: I really wanted to talk to Abridge but I felt very underqualified because healthcare is not something we cover very intensely. It just so happens that Redpoint's our big investors and supporters of Abridge.Jacob [00:00:27]: Anytime you want to have a portfolio company on your podcastJacob [00:00:29]: Please, by all means.Swyx [00:00:31]: So we'll introduce our guests. Chai and Janie, welcome to the pod.Janie [00:00:34]: Thanks for having us.Chai [00:00:35]: Thank you.Janie [00:00:35]: We're excited to be here.Chai [00:00:36]: Thank you.Swyx [00:00:36]: So for listeners, what do you guys do, just to situate you guys in the company?Janie [00:00:42]: Abridge is a clinical intelligence layer for health systems. We really started with documentation and building for clinicians and as we think about reducing the burden that clinicians have, they're spending 10 to 20 hours a week on documentation. There's a massive doctor shortage in the country. We also think that conversations between patients and clinicians are probably the most important workflow in healthcare. It's where care is given and received but if you think about the 20% of our GDP that goes towards healthcare, almost everything is a derivative of that conversation, whether it's the claim, the payment, the actual diagnosis given, the treatment. And we've started with a conversation to reduce the burden for doctors on documentation but we're really excited about the path ahead as we become this broader clinical intelligence layer.Chai [00:01:34]: I'm Chai. I work on clinical decision support at Abridge.Swyx [00:01:37]: Yes.Chai [00:01:37]: And so as Janie said, we're uniquely situated where we started off with the clinical note. What I'm really excited about and where we're expanding towards is what are all the things you can do before the conversation, during the conversation and after the conversation if you did have access to all the context about patients, payer guidelines, medical literature and put that together and to serve, how healthcare could look fundamentally different.Swyx [00:02:01]: And that's the context engine that you guys have?Chai [00:02:04]: Yes.Swyx [00:02:04]: Is that what it's called? Okay.Swyx [00:02:05]: So historically, as I understand it, the company started in 2018. A lot of people would be familiar with the AI voice notes form factor that doctors would be “Well, do you consent to being recorded?” It replaces handwriting and what have you. But it sounds like more recently there's been a big transition in the company. Tell me about the broader transition.From Documentation to Clinical Intelligence: Save Time, Save Money, Save LivesJanie [00:02:26]: So from a transition perspective, we really think about our journey as The first act was: how do we help save time? And that's where a lot of that original product was.Swyx [00:02:37]: By the way, one of those interesting statsSwyx [00:02:39]: On your landing page was, doctors spend time after hours.Janie [00:02:43]: They call it pajama time.Swyx [00:02:44]: Why is that pajama time?Janie [00:02:46]: Doctors after work in their pajamasSwyx [00:02:48]: In their pajamas. OhJanie [00:02:49]: At home are just writing and catching up on their notes every day.Janie [00:02:53]: Some of our favorite customer love stories, we have a Slack channel called Love Stories. We have clinicians telling us, “Abridge has helped us, from retiring early or we're now finally able toJanie [00:03:06]: go home and eat dinner with our kids for the first time.”Chai [00:03:08]: Save the marriage in some cases.Swyx [00:03:10]: One of the quotes was “We're not divorcing anymore.”Swyx [00:03:12]: I'm asking, “Why?”Swyx [00:03:14]: Because they're working too much.Janie [00:03:16]: But, in terms of where we're going and where we're expanding, we really think about our second and third acts around how do we help health systems save and make more money. Health systems are operating with record-low operating margins. It's getting harder and harder to serve patients and they have regulatory, some tailwinds but also a lot of headwinds coming their way and AI is ripe for helping on the saving and make-more-money piece. And then ultimately, how do we help save lives? The fact that our software and our product is open millions of times a week before, during and after a patient walks in the room, gives us massive opportunity with products like clinical decision support, which Chai is building but so many others to improve patient outcomes and probably one of the most important workflows and problems to be going after right now.From Glean to Healthcare: Context Is KingJacob [00:04:04]: One thing that's interesting, Chai, is you came over to Abridge from Glean and clinical decision support, which for our listeners is, in the context of a visit, helping a doctor figure out the right type of care. It's really a search problem in many ways, going through lots of different data sources. Very analogous to your previous role as one of the earliest engineers over at Glean. I'm sure a lot of our listeners are curious what's similar about the problems that you're going after now and what feels different, now that you're in healthcare.Chai [00:04:33]: Very similar. Taking a step back, with every wave, there's a lot of very similar patterns that happen across different products. A lot of social networking products look the same. A lot of credit-based products look the same. And we're seeing that very similar in the agent era with many companies, of course, in Redpoint's portfolio and so forth. And the key insight between both companies is that you have amazing models but context is king. Context is what puts them to work. So I see it in a lot of ways, a lot of similarities in this is a healthcare-coded version of Glean but the differences are really interesting. A couple things that come to mind. First and foremost, the rigor of the setting we're in. The downside risk is extremely high here in healthcare. It can be fatal in some cases. You prescribe something that the patient is allergic to for example. Whereas at Glean, it's “Oh, you got the question wrong.” It wasn't the end of the world in most cases. And so what does that mean? That shapes our evaluation strategy, both offline evaluation, progressive rollout and there's a lot more we could go into there. Second thing that comes to mind is, vertical versus horizontal. In both cases, there's a large variance but when Glean is, it's a much more horizontal company, there's a variance of personas, companies that you're working with. We also have a variance of personas, different types of specialties, different hospital systems. But the variance is a little more narrow. So from a product perspective, you're able to focus far more, especially when you have a maturing technology and you're building new products that never existed before. It lets you go after them much more easily and especially in healthcare where so many problems were solved with labor and process, that it's extremely ripe for AI to keep helping augment and enable. And the final thing that's really interesting, Abridge specifically compared to many other companies in the AI area, is the modality we started with where we're ambient and we're always listening in the background. And many more AI products will go that way but it's how we started. And that's the greatest form of AI we can create, AI that's seamless. You're not looking at your screen. It's always there. It's always helping you out and being proactive. The Jarvis vision that, every hackathon I went to over the past decade, there was always a Jarvis competitor. But Abridge very much started from the opportunity and continues to go that way.Ambient AI and Alert Fatigue: When Should the Product Interrupt?Jacob [00:06:57]: One thing that is super interesting then from a product perspective is you have this always-on seamless in the background and then you have to decide when you break the wall almost and say, “Hey, clinician, you might not have thought about X,” or whatever it is that you want to do. And in healthcare traditionally there's been this idea of alert fatigue and a million pop-ups and then a doctor just ignores all of them. It's probably a pattern that a lot of builders are thinking through now. How do you think about the right way to intervene or to pop up in a doctor visit?Janie [00:07:26]: It's such a good question. Alerts are notorious in healthcare specifically. Over 90% of alerts are ignored. The first and most important thing is context is everything, as Chai alluded to and I also think about how do we go from being reactive alerting to really proactive intelligence at the point at which it matters most. One thing we like to say is we want our product to feel like air conditioning. It should be in the background just making things better and if there is something that has great clinical risk and we're acutely aware that intervening now and not later is incredibly important, we should decide to act. But if you think about proactive versus reactive, instead of alerting a clinician during a visit when they're with their patient having a pretty serious and sensitive conversation, how do we prep a clinician before they walk into the room with that patient? And so historically, clinicians might have to manually go through charts with a patient that they've had over the course of months or years and they'll try to suss out what are the things they should be doing. You can imagine a world with Abridge. We'll summarize all of the most recent context for you, tell you based on the reason for a visit the patient is coming in for the types of things you should be discussing. And so you're going into that conversation prepped rather than walking in cold to that patient visit and then having this product interrupt you five or 10 times throughout the visit. And there might be times where it's really important to interrupt. We have a product called Prior Authorization and so this is when you may go into a doctor's office with knee pain. They'll prescribe you an MRI and so many of us have had this experience before, where in four weeks you'll get a call saying, “Hey, Sean, that MRI that you were prescribed wasn't approved and why don't you come back in? We'll figure it out.” In a world with Abridge, we might choose to quietly but still alert a doctor in that visit. And alert is probably not even the word we would want to use. Before a patient leaves, we would want to tell the doctor, “Hey, Doctor, before Sean leaves, you should ask him, has he had physical therapy and has his pain lasted for more than six weeks? Because the Aetna plan that he's on in California requires six things. We've already confirmed four of them have been met ‘cause we have all the context. But these two last criteria, if you can address with Sean before he leaves the room, we could guarantee that your MRI is approved before you leave.” And so when you think about clinical usefulness, impact to the patient, there are instances in which if we can catch a doctor while the patient is still in the room, as we think about save time, save money, save lives, we get to check all of those boxes. But when doctors have 15 minutes between visits, we have to be really thoughtful about when it matters.Prior Authorization: Reducing Latency in CareChai [00:10:23]: There's this interesting product opportunity AI has is reducing latency in the world. For example, prior authorization is an example of where care gets delayed and so great AI can reduce that. And the problem with alerts before partially is a technical problem: the quality of your alerts really matters. They're going to get ignored if you get alerts that... Similarly in engineering, where they're noisy alerts that you can't act on. But if you can make really high-quality alerts with both the context, as Janie said, and really high-quality models, then you can create a whole other game.Janie [00:10:53]: And I really like that experience because it starts to tease apart, what makes this so hard and unique. One, to make that prior authorization example possible, think about all the data that you need to have. You need to integrate with the electronic health record to know all of the patient context. Do we have access to your previous labs, previous imaging? And then to match you and to know that you're on Aetna, we have to collect all of the different payer policies and they vary by state. Some of these payer policies live on websites. Some of them live in unstructured 50-page PDF files.Jacob [00:11:31]: I thought this episode wasJacob [00:11:31]: To make sure we didn't scare people from healthcare.Janie [00:11:34]: But when you think about the things that make it hard, it also gives you the moat.Janie [00:11:39]: And then the second is the AI and the model quality we need to be able to hang our hat on. And so the bar, similarly when I worked at Opendoor, I worked on pricing models. Every outlier wiped out the margins of 30 and so similarly here in healthcare, the bar for accuracy is so high. And then I'd say the last is workflow is everything. If insurance companies deploy AI, it typically happens too late and this is when you have the notorious comical examples of AI just fighting each other when it's too late. But if we can pull forward the use of both the AI but also the ability to solve problems when the patient's in the room, you can start to collapse what typically takes weeks or months after your visit, ideally down to minutes or real-time. And it's where healthcare is both very difficult but also extremely rewarding if you can crack it.Product Form Factors: Mobile, Desktop, In-Room Devices, and ARSwyx [00:12:36]: Just to get some baseline on the form factors, because I've seen some videos on your website and stuff. You guys talk a lot about ambient AI. Is it primarily on the phone? Is there any other form factor that people get Abridge in? Is there an Abridge room setup where it's always on? I don't know.Jacob [00:12:55]: An Abridge podcast studio.Janie [00:12:58]: Primary form factor is mobile and desktop. UsuallyJanie [00:13:00]: Clinicians are walking in and out of rooms with mobile but at the end of the day, when they're closing out their notes or wanting to prep for the day ahead, they might use desktop. We have been having a lot of really interesting partnership conversations with a lot of these in-room device companies as you think about the power of multimodality and even more data, as you think about all of what is not captured today. It is fascinating to think about, especially even as we go into building and scaling our nursing product. It's one where nurses constantly, as they're walking in to check in on a patient for two minutes or maybe even 30 seconds,Janie [00:13:43]: Starting an Abridge experience is probably going to take longer than the visit. And so what can we do with in-room devices that are always on starts to raise really interesting and fun product questions.Swyx [00:13:54]: I was thinking, the way in tech companies we have all these Google MeetSwyx [00:13:58]: And other things, we might as well set up entire rooms with just Abridge tech.Chai [00:14:02]: Very much. AR glasses and related form factors are also relevant: how do we bring the information to the clinician in real-time without a screen, while still letting them focus on the patient?Swyx [00:14:18]: Do you think they want that? I'm skeptical of AR, but I'm curious what you've tried.Chai [00:14:26]: Admittedly, it's not a near-term product roadmapChai [00:14:29]: By any means. I'm being far-fetched.Jacob [00:14:31]: There's some sick AR stuff for surgeries.Swyx [00:14:33]: Really?Jacob [00:14:33]: When people are trying to visualize, you're about to make an incision but you want to see, what the cut might look or what the body might look like inside and they can layer in imaging.Swyx [00:14:43]: That's cool.Chai [00:14:45]: At some point in the future.Janie [00:14:46]: But there are a lot of our largest customers and at the largest health systems integrating already and so even as we think about building into it, unlocks a lot of product capabilities.Swyx [00:14:57]: And just to establish the terminology. Sorry, and I know I'm asking basic questions somewhat for myself but also for the audience who might beHealth Systems, Buyers, Clinicians, Patients, and PayersSwyx [00:15:05]: Less integrated. When you say health systems, it's like the Johns Hopkins, the Kaiser Permanentes.Janie [00:15:09]: Mayos, the Kaisers of the world.Swyx [00:15:10]: These are your customers, right? And the outcome that you deliver for them is happier doctors, reduced cost of processing, reduced mistakes. It's weird in a sense that I feel like there's also, a secondary customer, the customer of the customer and I don't know if you — do you think about it that way?Janie [00:15:28]: The other interesting and complex part of building product is we have our buyers, who are the chief medical information officersJanie [00:15:39]: The chief financial officers, the CIOs of these large health systems. Our users today are clinicians but if you think about who downstream is impacted, it's patients. And so as we build, with every product in mind, we think about who we're building for, who the secondary user is and what does that mean either in terms of experience, security compliance, ROI that we have to make tangible. And so like you said, time savings is one of them. But for CFOs, they care a lot more than just time savings. We have to show for every dollar you put into Abridge, because you have more compliant documentation or because you have fewer queries coming from your billing team, we save or add real dollars to your bottom line or top line, are things that we're constantly thinking about because of the dynamic across all three sets of users.Chai [00:16:32]: There's a whole other axis too with the payers and pharmaChai [00:16:35]: as well. Connecting all these three big stakeholders in healthcare isSwyx [00:16:39]: Do the payers ever see your data? Sorry, the payers meaning the insurers, right?Chai [00:16:44]: Yes.Swyx [00:16:44]: They also see Abridge data?Chai [00:16:47]: NoSwyx [00:16:47]: Like the direct integration to you guysChai [00:16:48]: They wouldn't see the raw Abridge data but when you're working together on something like prior authorization, whatever information they need, we'd communicate to them.Jacob [00:16:59]: That's cool. I would love to dig into the AI side. You still have a lot of problems on the AI side. And so maybe to start at the highest level, what's one of the hardest problems you have to solve in AI at Abridge today?The Hardest AI Problems: Quality, Latency, and CostChai [00:17:11]: To make things simple, let's take, building off the prior auth example. So one thing Janie talked about is okay, this data is all over the place and there's this combinatorial explosion of procedures, payer policies and even sometimes different health systems. There can be some cross-product of all of these different considerations you have to take into account. But what's really hard about this problem is doing it real-time in the conversation. So, in any AI product, usually the three KPIs you care about are quality, latency and cost. Now, what we're saying is we want you to do this real-time in the conversation, guiding the clinician. How do we do it in a way that does not break the bank? But we're using — But we also need very intelligent models because you're working with this cross-product of data and this, all this context layer as well. So you need high intelligence and high-quality because you don't want the alert fatigue but you also need to be fast and cost-effective. And so that's where a lot of clever engineering goes. It's okay, without getting into all the details here, can you model these policies in some intermediate representation or other things that you can do that can make this problem tractable? And of course, the Pareto frontier is always changing but we are also trying to do this now.Model Strategy: Third-Party Models, Proprietary Data, and Medical ConversationsJacob [00:18:26]: What implications has that had for what you take off-the-shelf and say, “ what? We don't need to be world-class at X. We'll just take this from the model providers or from some infrastructure player,” and what you're “No, this is where we spend most of our time focused on”?Chai [00:18:38]: This is, the fun challenge in AI?Jacob [00:18:42]: It changes every three months? SoChai [00:18:42]: Of course, with the shifting landscape, we try to be extremely thoughtful on predicting the trends of where third-party models are going and where we can uniquely go. And, sometimes when you talk about AI models, we're the models are just going to get infinitely better. But I don't think... It may be in the grandness of time you could say that but, within every month, every quarter, there's specific ways they're getting better. They're training on a lot more, coding data to be better coding agents, for example. And soChai [00:19:14]: We have to think about where are the things that won't — unique data that we're uniquely training on or to step back a little, where is a proprietary model bringing advantage to us is if it can give higher quality or lower cost and latency for similar quality, very similar to many other companies. And when we can do that is when we have proprietary data. So, for example, we have on the order of eighty million or hundreds of millions now getting close to of medical conversations.Jacob [00:19:44]: It's insane.Chai [00:19:45]: This is a unique data set. And this data set, it's very interesting because this data set is effectively a large part of the trace between the patient and the provider. That's where the quote-unquote debugging happens in healthcare. We have these traces at scale, as in as, our CEOs even called it, an exhaust that comes out of our product. And so when you have these traces, that's how you can train better agents on certain use cases, whether it's your transcription diarization use cases or so on or like note generation models and we can do that much cheaper and faster. But we're always also working with these third-party model providers. We closely collaborate with them and that's how we predict where the trends are going. The thing that I think about a lot is that, I know that the model providers are going to train much more on agentic workflows and so forth, so that's great, so that you have a better agentic harness. But the other thing that's interesting is that the model providers, because a large class of the consumer model providers is healthcare queries, that they might, optimize to train a lot of healthcare data to encode the knowledge in its weights. And this is just a great thing for us as well, where the off-the-shelf models can keep bett-getting better at general healthcare information, such that what our strategy is, we have a constellation of models, we can use something for this, that and, we only care about, at the end of the day, the best product experience.EHR as File System: Agentic Workflows and Real-Time InterfacesJacob [00:21:07]: And, you have, overall capabilities improving. I'm curious, as these models get better, is there something you look at and you're “, three months ago, we really couldn't do that but God, the the latest models really allow us to do it”?Chai [00:21:19]: So here's something interesting that I've, been toying with. So all models are... This wasn't super obvious a year ago but now it's become clear and clear that almost every agent is a coding agent underneath the hood? So you give it whatever file system, it can write its own code and so forth. So when you think about within healthcare and the use case that we have, you can think of the EHR effectively like a file system. It's just — it's a storage of all this information. It's a lot of information there that cannot fit into the context window, at least of today's models and you want to use that context effectively for all these product use cases we're talking about. And so if you have better agents that can, manipulate data, read that data, treat it as a file system as we see they're going and we know model companies are investing this way, then that very directly benefits us.Swyx [00:22:09]: Yeah. Okay, cool. Again, just establishing basic things. But we're going back to the model stuff. I'm really interested in double-clicking more on the real-time, element, which is pretty important for both of you. Is it — Is real-time just batches of every one minute, every five minutes? Is that how we do it? Or is there some more native, genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?Chai [00:22:35]: Yeah. Yeah. So today it is more on the on the batch basis but there's interestingChai [00:22:41]: Prototypes that we have that we're still not fully, full time, voice in text out or in that sense. But, can you trigger your models, your agents or agentic workflows, depending on the right times in the conversation?Chai [00:22:58]: And so you can imagine, different techniques to bring this latency down and, you want to bring the feedback loop down as much as you can. And so a lot of clever engineering there without fully... Maybe one day we'll do full voice in and text out, train a model to do something like that.Swyx [00:23:15]: You do — People don't want voice in voice out?Chai [00:23:18]: Now we aren't creating experiences that are, during the conversation, inter — It's almost likeSwyx [00:23:25]: Might be too disruptiveChai [00:23:26]: Too disruptive until, who knows, maybe eventually you could have full voice agents once we — the quality and we improve the comfort of the technology. But right now gra — that change is much more gradual and it's more text focus, text out.Janie [00:23:42]: And so much of currently what our product is trying to do is allow a clinician to focus on their patient and maybe at some point but right now patients, clinicians don't want a third voice, at least in a literal voice in that room. And so how do we be there with all the contacts and information ready at hand when there's the right moment?Personalization: Individual Doctors, Specialties, and Health SystemsJacob [00:24:03]: Jenny, one thing I'm curious about is how you think about, personalization in the product. I imagine, every doctor is a special snowflake in their own way, has their own way they like to do things. There are probably a bunch of different approaches you could take to doing that, both within the model layer itself but then also just with clever prompting or engineering. How do youJacob [00:24:20]: Deliver on that?Janie [00:24:21]: It's such a good question. Personalization is massive for us. We think about personalization at three levels. The first is at the individual, the second is at the specialty level and then the third is at the health system or the organization level. To your point, there are a lot of individual preferences. You-When a note is produced, it almost is a reflection that is so deeply personal of a doctor's work and how they give care. And so do they have preferences on things like style? They might want bullets versus paragraphs, really concise versus comprehensive. They also might have phrases that they really like to use or the templates that they want every note to be structured. And, we see it in our feedback all the time. We want two spaces in between sentences or I refuse to use this tool. And so that's something that we've had to build in. And the tricky part is how do you make sure that stylistic preferences don't interrupt accuracy and quality and that's something that we've really had to refine and hone over time. Second is at the specialty level. A cardiologist note or workflow is going to look very different from a dermatologist workflow.Jacob [00:25:32]: I assume cardiology notes are the highest stakes for you guys, given your CEO is a cardiologist.Jacob [00:25:36]: It's “Oh my God, make sure we get this one.”Janie [00:25:37]: Shiv, our CEO, is still a practicing cardiologist. He rounds once a month. And so, first call when we want just quick and easy user feedback too.Janie [00:25:46]: But, specialties require a lot of personalization, both in terms of what does the product look and so we make sure that as new users onboard, we catch that and the product proportionally reflects that. But also on the back end, evals at the specialty level, they are hard-earned to calibrate and get. What does a really great dermatology note look like? What makes it complete? What makes it compliant and billable is very different than a primary care doctor. And so it's not just about what does the product experience look but on the back end tuning and really deepening our understanding for the specialists. What does great output look like? And that's, a problem that we need to calibrate internally, externally, online, offline but, takes lots of cycles but is necessary in a high-stakes environment. And then at the health system level, for products like clinical decision support, you have health systems who've spent years or decades refining their best practices and they want to know, “Hey, we love your clinical decision support product but how do we embed our own hospital guidelines into them to inform clinicians before, during or after a visit what brest — best practices should look like?” And as you think about, deepening moats as well, when health systems, trust us with that data, allow us to productize it and directly into the clinical workflow, makes us a really great partner to health systems who want to build something that truly meets their needs, their practicing guidelines.AI Slop, Memory, and Product Data FlywheelsChai [00:27:23]: And I want to add onto that. The for the clinical documentation problem, it's very similar to AI writing that doesn't feel like your own and then we call that slop. But the way I describe one framing of slop is like AI without context. But we have all that context and both the clinicians, can have it and can guide it. And so part of the other interesting exhaust for us is, memory is, one of these new systems recordsChai [00:27:49]: Almost.Janie [00:27:50]: And we also have all the edits people make on our product and when you think about a data flywheel and how we get better over time becomes really powerful as a mechanism to just going deeper in personalization.Jacob [00:28:04]: It's interesting. I love this idea of working with systems on the guidelines they built up over a long time. I feel like so many of the best AI app companies today are... The question is: How do you take the expertise that a law firm or a bank has built up over many years and then add that as context and also a special sauce over, a an AI tool? And so seems like y'all are really doing that very effectively.Janie [00:28:24]: We're now starting to have our customers ask, “What are other customers doing?”Janie [00:28:28]: “And how are they doing it?”Janie [00:28:30]: And as we think about having visibility across such a large set of care being delivered right now, a really interesting place we could also partner.Swyx [00:28:40]: I'm just curious. I — This may be a nothing question but, how different are health system guidelines from each other? Don't they all converge to the same thing? And if not, where do they differ?Chai [00:28:52]: At a really high level, they're going to talk about very similar things but the difference is probably in some more of the details. “Oh, you should refer to specialists only when XYZ conditions are met,” or so forth and maybe different organizations have different practices and guidelines around that. But high level, talking about similar things but the details are what, of course, that shapes the context and the decisions you make.Swyx [00:29:15]: And this all goes into the context engine and it might affect the notes but maybe not.Chai [00:29:21]: The — For these local pathways, we're definitely thinking about it a little more for our clinical decision support product.Chai [00:29:26]: So yeah.Swyx [00:29:27]: Which is your stuff, yeah.Swyx [00:29:28]: And then the memory which you raised, let's just tell us more about that. What have you tried in memory? What's the structure of the memory? What works? What doesn't work?Chai [00:29:38]: There's, of course, many different ways you could do memory, where it's okay, can you bake it into the model weights or can you do it in some external store? For us, what's interesting is, of course, when you think the models are rapidly changing, whether it's in-house or third-party, baking into the model weights, sometimes you worry that it could be a little throwaway. And so, how do you... You need to find a way that you decompose the problem, the preferences from the underlying models and so forth. The thing we're right now most both that's easiest to start with and we're excited about is having, a separate store for memory, where you have, for example, a memory sub-agent that's, working in the background, figuring out what are the important parts of the clinician's actions that we want to remember for the long term. And then you can also imagine, other things where in the — you have background jobs that are running that are collating these, memories similar to Sleep, of course and what other pattern, patterns products do as well. Learning over all these action, all the action data we have, again, note edits, the conversations they did and the actual transcripts.Evals: LFD, LLM Judges, and Clinical SafetyJacob [00:30:40]: What about evals? How in the world do you... It is such a complex product surface area. We would love to hear you riff on that and also how has that evolved? I'm sure you've gotten better at it, so any learnings along the way.Janie [00:30:50]: From an evals perspective, we, from day one when we build any new product or feature, we think about, what does good look like? And there are table stakes things like clinical safety but then you start to get deeper into what does good quality look like. And when you go into something like our core product, there's stuff like style and completeness and there's things like does this note become something that can be billable, which is very high stakes for a health system. We have a number of ways in which we get confidence for this. We have, internal in-house clinicians who do what we call an LFD process to give us our very first pass at is this or isn't this a good enough output, look at the effing data.Jacob [00:31:41]: LFD?Chai [00:31:42]: That's why I was smiling. I was “Is Janie going to mention what it stands for?”Jacob [00:31:46]: I was not... There's like a million acronyms.Jacob [00:31:48]: How am I supposed to know that I don't? So “Oh yeah, of course, an LFD.”Swyx [00:31:51]: I've never heard of LFDs.Chai [00:31:53]: It's a bridge for sure.Janie [00:31:55]: I got through three days and then I had to ask someone.Janie [00:31:58]: I thought it was just me that didn't knowJanie [00:32:01]: It's our internal process.Swyx [00:32:02]: But look at the data as a meme in ML, ‘cause you tend to not look at it. You just want to look at number go up.Chai [00:32:06]: Exactly.Swyx [00:32:07]: But yes.Janie [00:32:08]: But so, we make sure we look at the data and then as we think about all of the components of good output, we, one, create LLM judges across all of these and we make sure with annotated data and either internal or external evaluators, we feel like these judges are calibrated. And then depending on the stakes, we also work with in-house and third-party evaluators across all of these before we ship any big change. And the goal is, in terms of evolution, how do you go from this process taking months, down to weeks, down to days? Some of it is, a true science and ML problem. A lot of it's also just, hard operational work. Have you planned ahead in terms of what you need? Have you really optimized the capacity that you need across all of the different specialties you need? Have you gotten a really good sense of which third parties are great to work with for what use cases? This takes a lot of domain, expertise and, lots of mistakes and errors in figuring that out. And so as much of it is an ML problem, so much of it has also been operational gains that are hugely important, where domain-specific expertise is everything.Specialty-Level Evaluation and Progressive RolloutsJacob [00:33:23]: But it's funny, ‘cause I feel like people talk about healthcare like it's one giant market and the reality isJacob [00:33:26]: It's, dozens and dozens of sub-markets. And so it feels like in your evals you have to build that up across the board, probably.Swyx [00:33:34]: And is specialization the primary cardinality at... That's the word that comes to mind.Janie [00:33:40]: Sometimes, depending on the product or the use case. And so if we're making a note improvement or feature for a particular specialty, definitely but we have products that are for nurses. We have products that, are really aimed at making the document or the output a lot more billable. And so we'll want to work with coding teams and not necessary clinicians. And so likeJacob [00:34:05]: Coding meaning healthcare coding.Janie [00:34:06]: Yes. Yes.Jacob [00:34:07]: NotChai [00:34:07]: Yes. I see you.Swyx [00:34:07]: Other kinds.Janie [00:34:09]: But is this output proportional to the work that was delivered? Is there sufficient documentation to justify the amount that a health system may end up charging? And so, specialty sometimes but also domain, very different across all of the different products that we're working for. And building out that network is, not easy and is where a lot of our operational investments have gone into.Chai [00:34:35]: And I view a lot of analogies to self-driving cars here, where, part of it is we really want progressive rollout of features to test in the real world is this useful? Is this going to work? One big difference compared to past lives is before I'd build a product, maybe I'd alpha it and then I'd like GA it the next week, ‘cause I'm “Go, move fast, ship,” and whatnot. But the mentality is like you... I want to make contact with the reality as quick as possible but I want a progressive rollout. Because as much as I get as large of an offline eval set, I want the distribution of that to match real-life distribution. And over time, by rolling out early, similar to Waymo has a tagline, “The world's most experienced driver,” another thing that can, at least linearly increase for us is, both the size of our evaluation offline and online, that and it all feeds back.Janie [00:35:25]: Something that's been earned over time, speaking of evolution, is just the trust we've gotten with customers. Historically, a lot of these health systems, when they bring on new vendors, their release cycles are quarters, sometimes twice a year. We've gotten our customers onto monthly release cycles, which is pretty fast for health systems but what is more exciting over the last, call it, few quarters, has been, a subset of our customers have said, “We want to innovate with you. We trust you,” and we have a pretty, decent chunk of our customers who say, “We'll develop with you outside of these monthly release cycles. We have a higher tolerance. We know that the stakes are very high but we want to be the first ones using these products, giving you feedback.” And so for a pretty substantial set of our customers, we've been able to convince them to be able to ship, in this gradual way before GA. Something we talk about a lot internally is, trust is earned in drops, earned in buckets and so we still can't do what I used to do when I worked at Loom. We had 30 million users. I'd just be, rolling out experiments left and. The bar is still quite high for iterative rollout but because of the trust we've earned, we're able to learn at pretty high volume very quickly.Privacy, HIPAA, and De-IdentificationSwyx [00:36:45]: Your scale is still pretty huge.Swyx [00:36:47]: One thing I want to... We were going to go into scale? In a sec. One thing I wanted to call up, follow up on evals, which, again, just coming from a generalist engineer point of view, just thinking through what would people be scared of in doing this, the privacy and HIPAAJacob [00:37:00]: Elements of this. I have zero experience in that. What do you have to do? What is surprisingly not that bad?Chai [00:37:06]: So one thing that's really important here from a compliance perspective is very much that any of the data we use needs to be de-identified, any real-world data we use as a basis of online eval sets we're learning from. And so you have to — And there's, very clear, government guidelines, what counts as PHI. And so we've even have built models that can take, for example, a clinical transcript and remove all the key PHI indicators and so you have a scrubbed/de-identified version. And then once you... And so one thing that's important is first you've got to get confidence in that model in the first place? And prove that out. Because, now you have, multiple probabilistic systems on top of each other.Chai [00:37:46]: But once you have that, then you can train on it use it for evaluation and so forth, provided one of the cool things also that you can do from a business side is the right data contracting as well with your partners.Jacob [00:37:57]: Is the anonymization one way? Once it's done, you cannot undo it? Or is there someoneChai [00:38:01]: YesJacob [00:38:02]: Who holds the master key that can... Yeah, okay. So it's one way.Chai [00:38:05]: It's one way. Yeah.Jacob [00:38:06]: That's how it works. I just wanted to... Because, there's a lot of this, learning from feedback and everything that, you would want to debug more but you can't because you just physically don't allow yourself to.Janie [00:38:17]: Some of it's also written in our customer contracts in terms of who can or can't access PHI data, how long do we retain it,Jacob [00:38:27]: Very goodJanie [00:38:27]: Before it gets de-identified. And so we have a pretty high bar for who can access that PHI data, just to make sure that we always respect our customer data and privacy. But that's something that we partner with our customers on too, to make sure that as we want full, as close to precision as possible in that qualityJanie [00:38:48]: We can still use it.Jacob [00:38:50]: But it'll be fascinating to see how that space evolves? Because you think about, I used to work at a company that, did a lot of healthcare data in the cancer space and if you asked, the average cancer patient, “Hey, do you want people, do you want other patients to be able to learn-”Chai [00:39:03]: Take it.Jacob [00:39:03]: “... Learn from your experience?”Chai [00:39:04]: Take it all.Jacob [00:39:05]: They're “Please.”Jacob [00:39:06]: “I'd love, nothing more than for other people to be able to learn fromJacob [00:39:10]: The experience that I had.” And so in the past it was a lot harder to do that learning. But with this technology, that might really be practical and so it'll be fascinating to see how that continues to evolve.Chai [00:39:21]: There's so much in our data set of 100 million conversations.Chai [00:39:26]: You can imagine things like insights that you can give to the clinician. How could you, oh, how could you have reacted to this? In coaching or insights around, which treatments are effective or, like... Because you have this, again, this data source that was never captured before but that's, where, intuition or experience is created from, going back to this idea that the conversation is the agent of truth.Operating at Scale: Reliability, Cost, and Token EfficiencyJacob [00:39:46]: Back to the 100 million conversations, I feel like you have this insane scale that maybe only a few other AI app companies have and everyone else dreams of. So not everyone has had to confront this yet but maybe just talk about some of the challenges of operating at that scale and what, our listeners have to look forward to if they ever get to this level of scale.Chai [00:40:05]: At large and larger in scale, so of course there's a general, infrastructure reliability. When you... In any given startup, you're building the plane while it's flying. So there's some notion of that. But what gets interesting on the AI and ML side for sure is this, as you get at more and more scale, so one, you have the data to first and foremost do this. But, you start thinking about costs or infrastructure in a whole different way at scale versus, a prototype.Chai [00:40:34]: You can use the most expensive model, you can burn as many tokens as you want but when you're doing 100 million conversationsJacob [00:40:41]: Token max on leaderboards are less upsetting than that context.Chai [00:40:45]: . When you're doing that and so that comes for we have the data and we also have the team that's able to post-train based on this and you can optimize for efficiency, especially in areas where you believe that maybe a lot of the quality headroom is less so and you don't expect the other off-the-shelf models to go that way, such that you want to do, efficiency maximization, in terms of compute and tokens.Jacob [00:41:08]: I feel like you guys live in the future in some way where most use cases today are really just in use case discovery mode, where it's “God, I really hope I can find something that can get to scale,” and so you're always going to use the most powerful model. And then the few things that do get to this level of scale, you start to do those optimizations.Chai [00:41:22]: It's a natural trajectory where it's like zero-to-one, we're not talking about any of these optimizations.Chai [00:41:26]: But when maybe we're in the one-to-100 or so forth, then we're in optimization mode and, what works out really well is you've got all this data from zero-to-one that lets you do this.What Comes Next: The Conversation as the Shared Healthcare PlatformJacob [00:41:36]: That's fascinating. I feel like one thing that's so interesting about the Abridge footprint is that you're in the doctor-patient visit in real-time. I always like to say, there's like probably 50 years' worth of product you could build on top of that. What gets each of you, I don't know, what are you most excited about building, either in the short term or medium term or even, long down the line?Janie [00:41:53]: Something that I get really excited about is that the same conversation can serve so many stakeholders. If you think about the conversation, a doctor needs to know what is the documentation, how do I make sure that this fully represent the care I gave? A patient needs to know, “What the heck just happened? This was really overwhelming. What are my next steps?” A payer needs to know, was this the proper and appropriate care given? A pharma company might want to know why isn't this drug being properly used or is there a good candidate for this clinical trial that I'm about to run? And where I get excited is that our product and our platform and our infrastructure can be the same product across all of those things and start to what's today, separate, very expensive, complex systems that serve each one of these stakeholders in very different ways, start to collapse all of that into a singular platform that enables not just more efficiency across the board but also better outcomes for everyone. And, all of us experience healthcare in probably very painful ways and knowing that there is a world in which we can simplify a lot is really exciting to me and it all starts with the conversation.Chai [00:43:15]: It's interesting. Of it very similar to going back to the KPIs that any AI product cares about. How do you increase quality of care? How do you reduce latency to care? And how do you reduce costs? Which is a huge, in healthcareJacob [00:43:28]: They call it the triple aim in healthcare.Chai [00:43:30]: But very similar to building AI products and the thing that really excites me is when we talk about that latency piece, we talked about one example earlier of prior authorization, can you reduce the latency to care? But you can imagine so much more. Oh, as soon as the lab value gets updated, do you have like a background agent that, kicks off and uses all the context to be “Oh, hey, the patient should do this next,” for example. And of flagging that to the clinician who's always in the loop but reducing that latency, to care. And then you can imagine this is much further down the road but it's like even connecting that to the direct patient and the consumer. And so how can you, how can you build a bridge to all of these things?EHR Partnerships and the Clinical Intelligence LayerJacob [00:44:10]: Very cool. The connections piece is just an ever-growing thing. And one of the key partners is the EHR and I wonder what that relationship is like. Will they, look at this as, something that is valuable enough that they want to own someday?Janie [00:44:29]: Our partnerships with the EHR is, we know that we have to be extremely close partners with all the EHRs who we partner with. Being able to not only pull and push all of the data into the right places is, not only table stakes, if we can't do that, health systems don't want to use us. The second and the reality of today is clinicians spend a lot of their days in the EHR. So much of what allowed us to win in the largest health systems was pretty direct and, very close partnerships with some of the largest electronic health records that allowed us to pull and push data with APIs that weren't ready out of the box. And clinicians want to save clicks. Anytime we introduce a new product that, adds two clicks for them in their day, they're “We're not going to use it.”Janie [00:45:21]: They have 15-minute back-to-back appointments with their patients. They're spending, hours during pajama time doing documentation. Every second and every minute counts and so we really think about being deeply integrated into the EHR as also table stakes to getting real usage and adoption. And anything that we build or introduce, we really talk about earn the right internally a lot, which is we have to provide so much value or save so much time that people will use us. But those are the two things that are close to us, is we know that the product won't be used unless it is deeply interoperable.Chai [00:46:01]: And strategically, to your point, it's like what does EHR want to own versus us? EHRs are really focused on the clinical workflows and so forth but some of the things that we're talking about here, I do these traditionally are outside of the domain where it's oh, connecting pairs and providers together with provider policies or the clinical trial matching, as Janie brought up. And so these are, entirely — we position ourselves as building this entirely new intelligence, clinical intelligence layer across, again, providers, pharma and, payers.Chai [00:46:33]: And so that's a it's a whole different ballgame that we try to playChai [00:46:36]: In combination with them.Jacob [00:46:37]: But it's like a different layer of scope.Healthcare AI Regulation, Technical Depth, and What Changed Their MindsJacob [00:46:39]: I'm curious, you are both relatively newcomers to healthcare. People have these, there's lots of futuristic healthcare AI takes of “Oh, everything will look different.”, now that you've been in healthcare for a bit, you live at the edge of AI, what have you, changed your mind on around this, as you think about what healthcare looks like in ten, 20 years? Any updates to your mental model from the time being close to the problems?Chai [00:47:02]: One thing that IChai [00:47:04]: Was hesitant about before and it's a common thing when I'm trying to recruit engineers that people ask me around, is definitely oh, healthcare, heavily regulated space. And it is, rightfully so. You want to keep, the patients at the end of the day safe. But one of the interesting things that, is a that surprised me how much it is coming to the company is there's a lot of really favorable regulatory tailwinds as well. Where you think about, government really wants interoperability between all these systems that we talked about and so agents can access this information. The government just in January, the FDA released updated guidance on clinical decision support, what I work on in such a way that they used to have guidance from like 2022 that required you to have, mention all these options and do all these other things but it's a very forward and forward-looking way. And so for me, what's been really cool to work on is this, there's this very special moment both in AI in general, we all know that but there's a special moment also regulatory in healthcare as well.Janie [00:48:05]: One thing I would call out is for the very reasons things are higher stakes or, potentially considered more difficult in healthcare, it's where some of the hardest AI problems will get solved first, just because the bar is so high. When I first joined, I was “Oh, this is where we'll be on the tail end of where, all of the AI innovation will be able to be applied.” But when you think about, zero error evals or multi-step workflows that have really low tolerance, a lot of the innovation will happen here just because we have to or else we can't ship.Jacob [00:48:42]: ‘Cause like in other domains, you'd much rather just solve the 80%-is-good-enough problems firstJanie [00:48:46]: 80/20 doesn't work hereChai [00:48:48]: And building off that, traditionally, there was a bit of stigma that, oh, healthcare companies are not that interesting from a technical perspective or I've seen that or faced that myself. But these are really hard and fun problems from a pure technical perspective beyond just the impact. How do you bring the latency of this thing down and make it really high-quality?Reducing Latency: Clinical Workflows, Agents, and Implementation RealityJacob [00:49:07]: How do you bring the latency of things down?Chai [00:49:10]: Yeah. Yeah. Yeah. So okay, let's answer the latency question. And maybe hopefully not too redundant with some of the things I've said earlier but some part of it is with any latency, you have to like what is, what is really your bottleneck. In a lot of workflows, it's sometimes it's the model itself. And so that's where like our data flywheel, our post-training team and so forth come in so that can you make the models far more efficient. So that's one aspect of latency. But there's whole other aspects of latency where it's okay, on top of that, if you use a constellation of different models, can you use — can you first use like a — it's like thinking fast and slow. Can you use a cheap, fast model that triages and hands it off to a larger model where you get more intelligence and so forth and so all theseChai [00:49:56]: Clever tricks to make it work.Chai [00:49:58]: And by the way, we are totally — we also realize that the parameter frontier is changing and so these tricks will — may not get us to where we want to be in five years but we need to if we want to build a useful product right now.Jacob [00:50:11]: Should we go to the quick-fire or you want to ask more about Abridge? We can stuff everything that's not Abridge into the quick-fireSwyx [00:50:16]: I don't mind. I was — I feel like Janie was on the topic of more long tail stuff, which isSwyx [00:50:21]: Not the eighty/twenty thing and that really matters. And I'll —, if you have any tips or cool stories or just general approaches that have worked for you that's interesting to dig into.Janie [00:50:32]: One of them is even just how we staff our teams looks different than a traditional software engineering team, I'd say.Swyx [00:50:40]: Let's go.Clinician Scientists, Edge Cases, and Evals at ScaleJanie [00:50:41]: We have a bunch of folks with different roles who are clinicians and so we have this role called the clinician scientist and I heard one of our leaders refer to them as mutants recently. But they are people who've had clinical backgrounds, so MDs typically, who are also deeply technical, somewhere, on the spectrum of like a full stack engineer all the way to like extremely scrappy prompter. But having each of these people embedded within our teams instantly raises the bar for everything that we build because not only are they determining, is this product clinically useful but they're deeply embedded in our whole evals process. And so when we talk about LFDs, when we talk about what is our actual evaluation criteria, you don't want Chai or me creating what those are because we don't have clinical background. But is probably unique to Abridge but has been game changing. And when you think about where the puck is going, you have people build with clinical backgrounds who are technical and where AI tools are going, they just becomeJanie [00:51:53]: More and more, critical and like the killers of the team. And so that's one. And then the second is just the scale at which we do evals to catch that long tail up front before anything ever gets into production is something that we've pretty much like really started to fine-tune, both from a scale but when do we know we need to get several hundred versus several thousand offline responses, what helps us make that quick decision and make this less of an art and as much of a science as possible. But that's also been something we've had to tune over time.Swyx [00:52:27]: And you have partners who opted in to give you those evals.Janie [00:52:31]: So we work either internally or with third-party for offline evals and then we have customers who also agree to give us, whether it's like thumbs up, thumbs down to like choose this or that, a lot of data to get us to what is as close to fully confident as possible.Swyx [00:52:51]: The term that comes to mind isSwyx [00:52:53]: Like active learning on things where you're weak. I feel like it's a lost artSwyx [00:52:58]: Is a lot of the polish that comes into doing something like this.Janie [00:53:02]: Really.Chai [00:53:03]: Hundred percent.Lessons from Glean: Technical Foundations and AI App InfrastructureJacob [00:53:04]: Maybe, on a totally unrelated note, Chai, you had a very, storied run at Glean b

The Exoboys are fast approaching the end of season 1, but we have what is likely the heaviest episode of the season so far. Jhu talks about soap operas and Tom just finds every tangent possible. Of course its a laugh!If you'd like to contact the guys, they'd love to hear from you!Morethanmeetstheseguys@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

Boo, Jhu, and Evan close in on the final episodes of season 1 with this action packed episode that is full of twists and turns. You will question loyalties, and if you're as soft as Evan, maybe get all teary eyed.If you'd like to contact the guys, they'd love to hear from you!Morethanmeetstheseguys@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

Okay, it totally goes off the rails. Boo pops in late and JHu realizes coffee moonshine is a food group. There is so much going on and Marcus' Southern Fury is on full display for the exofleet to see. There are conspiracies afoot and I'm sure everything will go well!If you'd like to contact the guys, they'd love to hear from you!Morethanmeetstheseguys@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

As we hit the middle of the 2026 season, there are five fantastic games featuring Top 20 matchups this week, and D-Fly & Dixie are back to get you prepared for all the action.To help breakdown this week's incredible games, the guys enlist the services of friend of the pod and long-time friend, Dan Cetrone. Cetrone was the head coach at Greensboro College for 13 years, then became the Director of Athletics at Greensboro. He talks about life and lacrosse and shares his point of view on how the sport has grown in North Carolina over the last quarter-century.This week's player guest is North Carolina's Brady Wambach, one of the nation's most compelling young faceoff specialists, for a conversation that blends on‑field insight with a powerful personal story. Wambach talks through his development as a dominant FOGO, his famous aunt Abby, how he tries to emulate T.D. Ierlan, the Tar Heels' culture under Joe Breschi, the matchup with Harvard, and how he approaches the mental and physical grind of ACC lacrosse. He also reflects on the profound impact of losing his father in 2023 and how that experience reshaped his purpose, discipline, and leadership within the UNC program and much, much more. GAME PREVIEWSSATURDAYNo. 6 Duke (8-0, 0-0 ACC) at No. 5 Syracuse (8-2, 0-0) | 2 p.m. | ACCN | Cuse -1.5/24.5No. 14 Georgetown (4-4, 0-0 Big East) at No. 13 Denver (4-4, 0-0) | 3 p.m. | ESPN+ | Hoyas -1.5/20.5No. 10 Penn State (5-3, 1-0 B1G) at No. 8 Ohio State (8-1, 1-0) | 4 p.m. | BTN | Penn State -1.5/20.5SUNDAYNo. 11 JHU (6-2, 1-0 B1G) at No. 17 Rutgers (7-3, 0-1) | noon | BTN | JHU -1.5/20.5No. 4 North Carolina (8-1) vs. No. 3 Harvard (8-0) at Archbishop Spalding HS | 1 p.m. | UNC -1.5/24.5GIVE & GOIn this week's Italian restaurant-themed Give & Go, the guys suggest a family-friendly menu that satisfies all tastes and dietary needs.

“March is a month for expectation,” said American poet Emily Dickinson. Sports fans understand this. As March begins, we see separation between the contenders and the pretenders. In college lacrosse, we begin to see the same hope of promise vs. reality, as teams and leagues jockey for RPI wins before the conference season kicks off. It's on.This week there are five fantastic Top 20 matchups to preview, and D-Fly & Dixie, with an assist from Inside Lacrosse's Kevin Brown, are here to get you primed.The show kicks off with a debate over whether March is the best month for sports fans, followed by Dixie's road show to Ivy League rivals Penn and Princeton. Kevin Brown, IL's managing editor, hops in to describe his fun role at Inside Lacrosse and talk First State lacrosse with D-Fly. Then they get straight to the scintillating slate. GAME PREVIEWSALL GAMES SATURDAYNo. 15 Rutgers (5-1) at No. 3 Princeton (3-1) | noon| ESPN+ | Tigers -5.5/21.5No. 13 Georgetown (1-2) at No. 2 Richmond (5-0) | noon | ESPN+ | Spiders -2.5/22.5No. 7 Cornell (3-1) at No. 14 Penn State (3-2) | 1 p.m. | B1G+ | Big Red -1.5/23.5No. 12 Syracuse (4-2) at No. 13 JHU (4-1) 1 p.m. | ESPN+/ESPNU | Orange -1.5/23.5No. 2 Notre Dame (4-0) at No. 10 Ohio State (6-0) | 2 p.m. | B1G+ | Irish -2.5/22.5GIVE & GOIn this week's Deli-themed Give & Go, the guys share their considerable expertise about the best hot and cold deli sandwich options. 

Boo, Jhu, and Evan finish out the first storyline of season 1 of Exosquad. Will J.T. Marsh be executed? Will Captain Buford T Marcus win against the Neo fleet? And who is Amanda?If you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

How do you top a thrilling weekend with five Top 20 matchups? Follow it with EIGHT Top 20 matchups filled with intrigue, unpredictability and excitement. This week's guest analyst and game picker is Inside Lacrosse contributor and the author of the Weekly Watch, Craig McMichael. McMichael shares his journey from Midwest lacrosse junkie to Inside Lacrosse writer, and helps D-Fly & Dixie break down the biggest games of the weekend ahead. This week's player guest is Richmond's All-American and leading scorer, Aidan O'Neill. While the Spiders prepare for a Top 5 battle in Ithaca against Cornell, O'Neill joins the show to talk about the Spiders' first NCAA Tournament victory last May, the remarkable senior class, the high expectations for 2026, Coach Chemotti's culture, why he wears number 5, prepping for the Big Red, playing with his brother and much, much more.GAME PREVIEWSFRIDAYNo. 6 Syracuse (3-1) at No. 7 Princeton (1-1) | 4 p.m. | ESPN+ | Syracuse -1.5/25.5No. 1 North Carolina (4-0) at No. 19 Penn (2-1) | 5 p.m. | ESPN+ | UNC -3.5/24.5 SATURDAYNo. 3 Richmond (4-0) at No. 5 Cornell (3-0) | noon | ESPN+ | Cornell -1.5/26.5No. 10 Ohio State (5-0) at No. 12 Georgetown (1-1) | noon | ESPN+ | Georgetown -1.5/21.5No. 2 Notre Dame (3-0) at No. 9 Maryland (1-2) | noon | B1G+ | Notre Dame -1.5/23.5No. 13 JHU (3-1) at No. 14 Virginia (2-1) | 3 p.m. | ACCNX | Virginia -1.5/23.5GIVE & GOIn this week's Super Hero-themed Give & Go, the guys discuss superpowers, superheroes, DC vs. Marvel Universes and reminisce about the epic Hall of Justice vs. Legion of Doom rivalry.

The Guys are back at it! We have the full crew of Boo, Jhu, Tom, and Evan get into the 4th episode of Exosquad and boy oh boy, Captain Marcus becomes more Foghorn Leghorn the more he gets mad, Marsala has a walkabout, and we see the birth of the Resistance. Wow, and I thought the craziest thing was Crab Rangoon station.If you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

The 2026 season is barely out of the womb, and we're already blessed with a No. 1 vs. No. 2 matchup in a standalone TV window. You can bet D-Fly & Dixie are excited. With a couple of other Top 20 matchups on tap, this is a loaded show. They are joined by long-time friend of the pod and guest analyst Christian Sweezy, who shares insights on why this is Georgetown's year and discusses his new book, “The Long Red Line.”This week's interview is with Maryland's All-American lockdown defender, Will Schaller. We discuss his hockey background, why he chose Maryland, the benefits of knowledgeable parents, his relationship with Coach Bernhardt, the high expectations for Terps defensemen, pit beef and much, much more. You won't want to miss it.GAME PREVIEWSFRIDAYNo. 1 Maryland (1-0) at No. 2 Syracuse (2-0) | 6 p.m. | ACCN | Maryland -1.5/23.5SATURDAYNo. 14 Penn State (1-1) at No. 3 Princeton (0-0) | noon | ESPN+ | Princeton -4.5/25.5No. 13 Virgina (1-0) at No. 8 Richmond (1-0) | noon | ESPN+ | Richmond -1.5/24.5Loyola (0-1) at No. 14 Johns Hopkins (2-0) | 1 p.m. | ESPN+ live, ESPNU on Feb. 15 | JHU -3.5/22.5No. 4 Cornell (0-0) at UAlbany (0-0) | 1 p.m. | ESPN+ | Cornell -4.5/24.5 GIVE & GOIn this week's Valentine's Day-themed Give & Go, the fellas produce a Top 5 list of their favorite “Love” songs.

Tom and Jhu join Evan for part 3 of the original 4 part pilot for Exosquad, Hidden Terrors. The title does a lot of heavy lifting as we chase the pirates into their Enchilada caves and Phaeton has a rat in his ministry. Oh, and the guys ramble, as always!If you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

Boo, JHu, and Evan are joined by Tom in this second half of the second episode of Exosquad. Yeah, Phaeton's plans begin to unfold, the Exosquad chases the pirates to the moon Enceladus, and the guys ramble some more. I genuinely hope that our love and enjoyment of this series comes across, once again.If you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

Boo, Evan, and JHu are joined by the never imitated and probably not duplicated Tom! Boo and Evan know Tom from Transformers groups over the years, but I have come to find out that he is also as passionate as Evan about the space opera that had no reason to be as good as it is, Exosquad. So sit back and watch as the show goes way off the rails!If you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comMorethanmeetstheseguys@gmail.com@mtmtgpod on Twitterhttps://www.facebook.com/MoreThanMeetsTheseGuys/https://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

#5 ranked Johns Hopkins WBB head coach, Rodney Rogan joins this week's episode of @Notevend2 . JHU looks like one of the best teams in the country holding a perfect 8-0 record. In just two years, Rogan and JHU have now won back-to-back Centennial Conference Championships and made multiple Sweet 16 appearences. Rogan has now won at two different schools- beginning at his first head coaching opportunity at Rhodes College. Rogan led Rhodes to three straight Southern Atlantic Athletic (SAA) championships leaving with a 67-28 (.705) record. This pod talks about his process of getting to JHU, what the expectations are for the 2025-26 season, and the background of Rogan getting into coaching women's basketball. This episode is available wherever you get your podcasts. Follow/subscribe to @Notevend2 for more sports content! Enjoy the episode ...

Ed gets to show Jhu and Evan his favorite Robotech episode. Its high drama and even a wedding! We get branded sugar and coffee mugs as well as tuna being on the menu!If you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comMorethanmeetstheseguys@gmail.comhttps://www.facebook.com/MoreThanMeetsTheseGuys/https://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

Jason addresses investors, first focusing on personal finance issues like taxes then discusses the current state and future of the housing market. He shares optimistic news regarding Federal Reserve rate cuts and the resulting positive impact on housing demand, predicting a surge in potential buyers and subsequent bidding wars due to low inventory. Furthermore, Jason presents data suggesting that existing homeowners are not in distress, indicating that a housing crash is unlikely, and notes that institutional investors are actively acquiring properties. Jason concludes by promoting an upcoming investor JHU event, property tour, and educational session focusing on real estate opportunities, including co-living, and invites listeners to join his Wednesday Masterclass. Jason welcomes Jack Evans, an enrolled agent and founder of Jack's Tax, to discuss tax strategies for real estate investors and the differences between CPAs and enrolled agents. Jack explains that enrolled agents are federally licensed tax professionals who focus on tax law, unlike CPAs who are state-licensed and perform business audits. He argues that enrolled agents may know tax law better than CPAs since they are not distracted by business operations. https://www.jax-tax.com/ #JackEvans #JacksTax #EnrolledAgent #CPA #TaxLaw #TaxCode #RealEstate #RealEstateInvesting #CreatingWealth #Taxes #Depreciation #TaxBenefits #TaxDeduction #LongTermRentals #ShortTermRentals #PassiveIncome #ActiveIncome #CommercialRealEstate #CostSegregation #CostSeg #DepreciationRecapture #CapitalGains #1031Exchange #TaxDeferral #SteppedUpBasis #RefiTillYouDie #CashOutRefi #DST #DelawareStatutoryTrust #OpportunityZones #IRS #TaxStrategies #NonCashWriteOff #Form8582 #BuyAndHold #MaterialParticipation Key Takeaways: Jason's editorial  What is your biggest leak 2:00 Rate cuts! 4:27 I got some personal news 5:22 Chart: Owner RE occupied assets & liabilities 7:44 Institutional investors are buying properties 8:42 Join us at the JHU event JasonHartman.com.Phoenix 10:31 Check our Ai Bot JasonHartman.com/Ai 11:37 Join our Wednesday Masterclasses every second Wednesday of each month JasonHartman.com/Wednesday   Jack Evans interview  12:31 Difference between CPAs and EAs 14:15 Meet Jack, depreciation and passive income 20:27 Cost seg studies 23:57 Long term depreciation analysis 28:00 10:31 Exchange benefits 29:35 Beautiful things about real estate and the DST 30:50 Jack's Tips to living the dream   Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com

韓国Ulsan National Institute of Science and Technology (UNIST)で来年2月に独立するJHUの長濱さん(@k_hammer_1001 )再登場回。前回登場時からのアップデート。 (9/11 収録)Show Notes (番組HP):連絡先:https://bsky.app/profile/k-hammer.bsky.social ; https://x.com/k_hammer_1001 ; email: knagahama1001@gmail.com長濱さんNR初回登場回井上（昌俊）さんJung Hoや井上（昌）さんとの日本神経科学会でのシンポジウムシーズンオフ、ホットシーズン：アメリカのjob marketは大体8月後半-9月から翌年2-3月がjob openingの盛んなシーズンはんべー（Hyungbae Kwon)アポスティーユ公証人¬ary: 1 や 2犯罪歴証明書Kanghoon JungSynapShot論文:Son, Nagahama et al., Nat. Methods 2024; Dimerization-dependent fluorescent protein (ddFP)とsynapse organizer (Nlgn1とNrxn1β)を用いることで、可逆性がある蛍光シグナルをベースにシナプスの構造学的な変動を追跡していくツール。 Chuljung KwakGuo, Svoboda et al. マウス行動プロトコル論文シャンデリアセル+テクスチャ―の論文iTango2の論文GRASP, mGRASP, eGRASPGFP reconstitution across synaptic partners (GRASP): Feinberg et al., Neuron 2008 https://www.cell.com/AJHG/fulltext/S0896-6273(07)01020-3mGRASP: Kim, J. et al, Nat. Methods 2012 (Jeffrey C. Magee lab)eGRASP: 明るくしてvivoへの応用※同様のシナプス形成の可視化ツールとして、Sudhof labからのSynView: Tsetsenis et al., J. Neurosci. 2014　(https://www.jneurosci.org/content/34/45/15083.short)があります（長濱）Split-GFP: beta-barrel structure of GFP (1-10 & 11th 16残基, 215-230 amino acids)とsynapse organizerを組み合わせて、シナプス形成を可視化するツール。論文：https://www.nature.com/articles/nmeth932dimerization-dependent fluorescent protein (ddFP): 二つのモノマー（copy A & copy B）がヘテロダイマーを形成することで、蛍光を発色するタンパク質。Robert Campbell研で開発。論文1 (ddRFP): Alford et al., Cell Chemical Biology 2012  論文2 (ddGFP & ddYFP): Alford et al., ACS Synthetic Biology 2012 Won Do Heo※SynapShotの論文上では、IBS (Institute for Basic Science)で独立している Sangkyu Lee もco-corresponding authorになっています（長濱）OptoTrkBの論文: SynapShot論文でもFig. 3のdual-colorのimagingで使用。Small GTPaseの論文（optogenetic manipulation toolではなく、ddFPベースのbiosensorでした（長濱））：https://www.nature.com/articles/s41467-018-08217-3KAIST (Korea Advanced Institute of Science and Technology)Tobias MeyerMeyer研からBDRで独立した方：調べたら小長谷 有美さんでした。井上（Takanori Inoue）さんかんふんのescape behaviorの論文じょんほーのセロトニンの論文牧野さんの回小川さん; NR登場回ジョブハントでお世話になった方々: UTSWの藤田（Hirofumi Fujita）さん ,　OHIO-State の二本垣（Yuta Nihongaki）さん, 3人目は当然Jung Ho Hyun Future PI Slackかりごうさん回Referenceをお願いした方々: Paul Worley 狩野方伸先生 かりごう (Tomomi Karigo) さん 上阪さんNelson SprustonMax Planck: Max Planck Florida Institute for Neuroscience（MPFI）H-1BやJ1: アメリカのビザの種類。ポスドクは概ねJ1（交流訪問者ビザ）で渡米し、5年満期に達したところでH-1B（非移民就労ビザ）にビザ変更を行う。みんひゃお（Minhyeok Chang） すしアカデミーは70万円かかる4つあるIST (Institute of Science and Technology): UNIST, KAISTの他に、DGIST, GIST基本的には、USと似た方式でjob openingがある: 各大学・研究所がシーズン毎にtenure-track assistant professorのpositionを募集する。Soul National University（ソウル大学）Yonsei UniversityKorea University酒に頼りがち、ボルチモアクラフトビールKajikenDaikaya新潟大学脳研のシンポ三國さん藤島さんERC (European Research Council) starting grantK: アメリカのキャリアグラントのひとつであるK99のことScienceのcommentary: We started our Ph.D.s during COVID-19. Now, we're graduating into political chaosHigh BrainBong-Kiun KaangHee-Sup ShinEunjoon Kim IBS: Institute for Basic ScienceSebastien RoyerKIST (Korea Institute of Science and Technology) 韓国のGrant: National Research Foundation in Korea (NRF) がメイン。異なる時期にグラント締め切りあり。Korea Health Industry Development Institute (KHIDI) のようなAMEDに類似した団体もある。長濱ラボのバイオロジー:Biological commonalities across diverse psychiatric and neurological disordersSetd1aの論文Joshua A. GordonBipolar disorderとSchizophreniaがgeneticに似ている 1 2 3プレコックス感Nlgn3 KOマウスのケージメイトの行動異常論文長濱ラボ宣伝2026年2月から開設予定@Ulsan National Institute of Science and Technology (UNIST)Graduate School of Health Science and Technology (HST)大学院生は熱烈歓迎：https://admg-intl.unist.ac.kr/admissions/guidelines/2026 Spring 2nd 10/13/2025-10/22/20252026 Fall 4/6/2026-4/15/2026ポスドク：随時募集（予算次第ですが、興味がある方はお気軽にご連絡ください by長濱）Lab HPEditorial Notes:熱意のある大学院生・ポスドクの方々絶賛募集中です。ラボメンが皆それぞれにhappyでいられるような環境作りに向けて努力していく所存です。”日本に帰るつもりだったなら、医師免許使えよ”というツッコミは、自身に臨床医としての自覚が欠如しているため、お控えください（長濱）。韓国はインチョン空港にしか行ったことがないので、遊びに行くよい口実ができました(萩)独立おめでとうございます！日本が参考にすべきなのは、アメリカより欧州・アジアのやり方だとよく思うので、韓国アカデミアがどうやっているのかは非常に参考になりました。今後も色々伺うのが楽しみです！(脇)

Sign up for the Jason Hartman University Event this coming September https://www.jasonhartman.com/Phoenix . Also don't forget to register for our FREE Masterclass every second Wednesday of each month at https://jasonhartman.com/Wednesday  In the introduction, Jason primarily focuses on two key topics: upcoming investment opportunities and a significant legal scandal. He first details an upcoming Phoenix event that will introduce attendees to methods for extracting home equity without affecting existing low-interest mortgages or incurring new monthly payments, and reveal a novel property investment type offering high monthly income relative to purchase price. Subsequently, he transitions to a scathing exposé of Marco Santorelli, a former competitor accused of defrauding investors of $62.5 million through a Ponzi scheme involving bogus promissory notes, with Jason using official government and news sources to highlight the severity of the charges and the devastating impact on victims. Jason then joins Gene Morris of Rebel Capitalist.  He asserts that the market is currently experiencing minimal distress, despite ongoing debates about a housing deficit, which he estimates at 4.5 million homes. He argues that housing inventory remains exceptionally low when adjusted for population growth, comparing current levels to those of the 1990s and 2017 but with a significantly larger population. Jason critiques the S&P 500's real returns, claiming they are almost nonexistent when adjusted for inflation, which he believes is understated by the CPI. He advocates for real estate as a superior investment strategy due to its ability to leverage debt, with tenants covering costs and offering substantial returns, far outpacing inflation, especially in a "ludicrous mode" scenario of 15% appreciation. Jason concludes that real estate prices are unlikely to crash without a significant number of distressed homeowners and that even a slight decrease in mortgage rates could unlock millions of new buyers, further exacerbating the existing supply-demand imbalance. #HousingMarket #RealEstate #HousingDeficit #InventoryLevels #HousingAffordability #MortgageRates #PropertyAppreciation #IncomeProperty #LeverageInvesting #CashOnCashReturn #BeatInflation #StockMarketVsRealEstate #S&P500 #CPIUnderstated #RealVsNominal #FinancialEngineering #MarketDistress #RebelCapitalist #Doomers #InvestmentStrategy #DemandSupply #UnmetDemand #NewBuyers #RentalMarket #HousingShortage #LongTermInvesting #AssetClass #ShelterIsNecessary   Key Takeaways: Jason's editorial 1:33 Sign up for the Jason Hartman University Event this coming September https://www.jasonhartman.com/Phoenix 2:02 A couple of big announcements 7:47 4 reasons to join the JHU event 9:37 Sponsor: https://www.monetary-metals.com/Hartman 10:09 The Marco Santarelli scandal Jason's interview with Gene Morris 15:45 Update on Housing inventory  17:23 S & P 500 versus Inflated Adjusted Returns 18:47 Power of leverage 20:59 September ICE mortgage monitor and delinquencies 21:54 An asteroid hitting the US, Consumer expectations and financial engineering     Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com

Today's focus is on gold as an ancient monetary value and addressing the challenge of earning a yield on gold. Jason also invites listeners to join an upcoming Jason Hartman University workshop in Phoenix at the end of September, which includes a bonus property tour and emphasizes learning the math of income property. Jason also mentions a masterclass scheduled for the second Wednesday of each month and encourages listeners to register. http://jasonhartman.com/phoenix http://jasonhartman.com/Wednesday Jason then welcomes Keith Weiner, the founder of Monetary Metals, to discuss his background and transition from software to the precious metals industry, including his solution for investing in precious metals and insights on Bitcoin's impact on monetary awareness. They explore other business models of renting gold to various industries, highlighting its innovative approach to financing gold inventory and potential advantages over traditional banking methods. Keith shares his experience with gold leasing and manufacturing, explaining concepts like fungibility, convexity, and the benefits of renting over owning in business contexts, while emphasizing the low risk nature of their gold rental business model. Invest with Monetary Metals via https://www.monetary-metals.com/Hartman Follow Keith at X: @realkeithweiner #MonetaryMetals #KeithWeiner #GoldYield #PreciousMetals #GoldLeasing #SilverYield #FinancialInnovation #FiatMoney #MonetarySystem #Convexity #GoldAsMoney #YieldOnGold #AssetManagement #JewelryIndustry #RecyclingGold #SputteringTechnology #FinancialFreedom #InvestmentStrategy #RealEstateInvestment #GoldFinance   Key Takeaways: Jason's Intro 1:33 Welcome 2:24 Sign up for JHU at the end of September 3:54 Join our FREE Masterclass every second Wednesday of each month Keith Weiner interview 4:17 Keith Weiner, bitcoin and the corrupt monetary system 7:04 Solving an investment problem 11:37 Being fungible and the dynamics of how this works 14:56 Tracking collateral and minimizing risks 16:41 Sputtering 19:12 How an investor can dive in 21:35 Calculating the numbers and getting paid in gold 24:48 Length & liquidation of contracts  27:52 Using gold as money     Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com  

This is it. It all comes down to three games this weekend to decide the 2025 NCAA champion. Countless hours of hard work, preparation and execution have brought four elite programs to the precipice of greatness.  Getting to Championship Weekend is a difficult feat worth celebrating in its own right. Congratulations to Cornell, Maryland, Penn State and Syracuse. There are memories banked that will last a lifetime in a shared experience that you will cherish with your teammates and fans forever. Meanwhile the other 69 men's lacrosse programs all wish they were playing in Foxborough this weekend.  Only one will emerge victorious and hoist the championship trophy on Monday afternoon. D-Fly and Dixie are here to help you get excited and informed for it all. We'll break down the four games, but also discuss DI coaching moves, future sites for Championship Weekend, adjusting the season schedule, the ESPN streaming app, JHU baseball, summer concerts and much, much more. Do you have your tickets yet for Championship Weekend?! This year, Inside Lacrosse is proud to partner with the NCAA to offer you, our loyal listeners, $5 off all single-day ticket options (men and women) by using the code ILPOD at checkout. So head to NCAA.com/LaxTickets and enter ILPOD at checkout to purchase your tickets. You know you're going to go to Championship Weekend, so why not get $5 off and help us show the NCAA how awesome our listeners are by purchasing your tickets today. WEEKEND PREVIEWS SATURDAY, May 24 Gillette Stadium, Foxborough, Mass. No. 5 Penn State (12-4) vs. No. 1 Cornell (16-1), noon, ESPN2 No. 6 Syracuse (13-5) vs. No. 2 Maryland (13-3), 2:30 p.m., ESPN2 MONDAY, May 26 Gillette Stadium, Foxborough, Mass. Winner of Penn State-Cornell vs. Winner of Syrcause-Maryland, 1 p.m., ESPN Give and Go In this week's summer-inspired Give & Go, the guys talk about summer plans for travel, music and more. A reminder that the D-Fly and Dixie Podcast is brought to you by Simplicity Group. Simplicity Group is a leading financial products distribution firm that specializes in providing best-in-class insurance, investment and business development solutions. To learn more visit: SimplicityGroup.com. Tell a friend about this podcast and share the love. It's free. We always love to hear from you, so feel free to email us at DFlyandDixie@gmail.com, or find us on twitter and Instagram at @DFlyandDixie. Thanks for listening, and as always, Enjoy the Games.

As we head into the month of April, Inside Lacrosse has released its first Bracketology presented by Get Reps. Based upon RPI and Strength of Schedule, I wasn't surprised at the top four (Princeton, Maryland, Notre Dame and North Carolina), but it was something to see the nation's No. 1 team, Cornell, as IL's seventh best resume and the current third-ranked team, Ohio State, on the outside of the bubble. But hey, that's why we play the games! This week there are five Top 20 matchups and one delicious Top 10 matchup for your viewing enjoyment. D-Fly & Dixie are here to get you ready. And as teams battle the week-to-week storms of April conference play, don't forget that famous old expression, “April showers bring May prowess.” Ok, maybe I just made that up, but the teams that weather and grow from conference battles always set themselves up best for the postseason.  This year, Inside Lacrosse is proud to partner with the NCAA to offer you, our loyal listeners, $5 off all single-day ticket options (men and women) by using the code ILPOD at checkout. So head to NCAA.com/LaxTickets and enter ILPOD at checkout to purchase your tickets. You know you're going to go to Championship Weekend, so why not get $5 off and help us show the NCAA how awesome our listeners are by purchasing your tickets today. This week's guest is Syracuse junior All-American, defenseman Billy Dwan. As the Orange prepare for a Top 10 showdown in the Dome against Notre Dame, the guys talk about paying your dues on the JV, growing up as the son of a coach, being an impact freshman, choosing Syracuse, overcoming early season setbacks, Baltimore, Notre Dame, Loyola Blakefield legends and much, much more. This was a good one that you don't want to miss. WEEKEND PREVIEW Six games in our preview this week, with five legit Top 20 matchups and one Top 10 game to highlight this week's schedule.  SATURDAY No. 12 Duke (8-3) at No. 15 Boston U (8-2), 1 p.m., ESPN+ These schools have met six times since 2014. Duke has won all six, including a back and forth, 11-10, victory on a rainy Wednesday last March. No. 11 Harvard (7-2, 1-1 Ivy) at No. 18 Dartmouth (7-2, 1-1), 1 p.m., ESPN+ With both teams coming into the game ranked in the Top 20, it's not hyperbole to say that this is the biggest game ever for these Ancient Eight rivals. No. 3 Ohio State (10-1, 2-0 B1G) at No. 17 Johns Hopkins (6-4, 0-2), 2 p.m., ESPNU Homecoming at Homewood. Hopkins leads the series, 11-7. JHU won last two, including 11-10 OT win in Columbus last April. No. 5 Notre Dame (5-2, 1-0 ACC) at No. 7 Syracuse (8-2, 1-0), 2 p.m., ACC Network Big time ACC game between Top 10 foes. Notre Dame has won the last seven straight games in this series, including last year's 14-12 victory in South Bend.  Virginia (5-5, 0-1 ACC) at No. 8 North Carolina (7-2, 0-0), 4 p.m., ACC Network Pivotal early ACC game for both teams, but especially for Virginia.  SUNDAY No. 9 Penn State (6-3, 0-2 B1G) at No. 13 Michigan (6-4, 2-0), noon, Big Ten Network Penn State downed Michigan 14-8 in the regular season, but the Wolverines got their payback in a big way, downing the Nittany Lions 16-4 in the Big Ten Championship game.  GIVE & GO In this week's Baltimore-themed Give & Go, the guys get real about their love for their hometown of Baltimore, Maryland. A reminder that the D-Fly and Dixie Podcast is brought to you by Simplicity Group. Simplicity Group is a leading financial products distribution firm that specializes in providing best-in-class insurance, investment and business development solutions. To learn more visit: SimplicityGroup.com. Tell a friend about this podcast and share the love. It's free. We always love to hear from you, so feel free to email us at DFlyandDixie@gmail.com, or find us on twitter and Instagram at @DFlyandDixie. Thanks for listening, and as always, Enjoy The Games.

It's hard to believe we've reached the middle of the season. (Be sure to check out IL's Midseason All-Americans.) Who would have guessed that last week's three Big Ten road underdogs would end up in first place in the Big Ten? That Maryland and Hopkins would lose at home to .500 ball clubs? The thing that makes sports so great is that anything can happen, and that is why they play the games. It sets up another exciting weekend of action, and D-Fly & Dixie are here to get you ready.  This year, Inside Lacrosse is proud to partner with the NCAA to offer you, our loyal listeners, $5 off all single-day ticket options (men and women) by using the code ILPOD at checkout. So head to NCAA.com/LaxTickets and enter ILPOD at checkout to purchase your tickets. You know you're going to go to Championship Weekend, so why not get $5 off and help us show the NCAA how awesome our listeners are by purchasing your tickets today. This week's guest is Dartmouth senior standout, attackman Colin McGill. McGill and the Big Green have been turning heads this season and it's time to give them their flowers. Ahead of the big game vs. Princeton, the guys talk about Dartmouth's terrific 7-1 start, the culture change in Hanover, getting a validating win at Penn, Malvern Prep lacrosse, moving up the Big Green all-time scoring list, who makes the best rack of lamb in New Hampshire and much, much more. WEEKEND PREVIEW Five Top 20 matchups to highlight this week's schedule, and the start times are noon, noon, noon, noon and 1 p.m. So don't plan any yard work during that noon to 3 p.m. window on Saturday. SATURDAY No. 5 North Carolina (7-1) at No. 9 Army (7-1), noon, ESPN+ A big game, slightly soured by Army's loss last week. Army is in dire need of a quality win. No. 4 Princeton (5-2, 1-1 Ivy) at No. 18 Dartmouth (7-1, 1-0), noon, ESPN+ Princeton has won nine straight in this series, including a 15-5 win last season in the Garden State.  No. 11 Duke (8-2) at No. 7 Notre Dame (4-2), noon, ESPNU Coming off a bye week, the Fighting Irish welcome Duke to Arlotta Stadium. Duke is looking to bounce back from its head-scratching loss to Denver. ND has won six straight in the series with ND beating Duke twice in each of the last three years. No. 6 Penn State (6-2, 0-1 B1G) at No. 2 Maryland (7-1, 0-1), noon, Big Ten Network The Border War between two teams that just do not like each other. Historically, Maryland has dominated this rivalry. No. 14 Johns Hopkins (6-3, 0-1 B1G) at No. 19 Michigan (5-4, 1-0), 1 p.m. Hopkins has had a lot of success against Michigan, winning 11-of-13 matchups all time against Michigan, but the Wolverines got a leg up last year 10-7 in the B1G Tournament. JHU won the regular season matchup, 15-11. In this week's garden-themed Give & Go, the guys talk about spring landscaping, flowers, the unwanted wrath of the home owners' association and more. A reminder that the D-Fly and Dixie Podcast is brought to you by Simplicity Group. Simplicity Group is a leading financial products distribution firm that specializes in providing best-in-class insurance, investment and business development solutions. To learn more visit: SimplicityGroup.com. Tell a friend about this podcast and share the love. It's free. We always love to hear from you, so feel free to email us at DFlyandDixie@gmail.com, or find us on twitter and Instagram at DFlyandDixie. Thanks for listening, and as always, Enjoy The Games.

In this episode of Transmission Interrupted, join hosts Lauren Sauer and Rachel Lookadoo as they continue their Pathogens in Pop Culture series with a dive into the fascinating intersection of infectious diseases and the entertainment industry with esteemed guest, Dr. Saskia Popescu. Dr. Popescu, an internationally recognized infectious disease epidemiologist and global health security expert, shares her unique experiences providing epidemiological guidance and infection prevention strategies on film sets during the COVID-19 pandemic. From creative risk assessments and navigating ever-changing guidelines to the challenges of implementing health measures in diverse climate settings all around the world, Dr. Popescu provides a candid look behind the scenes of Hollywood's pandemic response. Get a glimpse into how science intersects with Hollywood magic, revealing an industry more receptive and complex than meets the eye. Tune in as we uncover the balance between safety and storytelling, and explore the uncharted territory of infectious diseases in pop culture.Questions or comments for NETEC? Contact us at info@netec.org.Visit Transmission Interrupted on the web at netec.org/podcast.GuestSaskia Popescu, PhD, MA, MPHDr. Popescu is an internationally recognized and experienced infectious disease epidemiologist and global health security expert with a strong background in enhancing healthcare biopreparedness, outbreak response, biosecurity, infection prevention and healthcare epidemiology, biothreat analysis, and pandemic preparedness/response. Skilled communicator directing progress through policy development, project management/team leadership, and providing pragmatic and real-world insight from experiences in leading outbreak field response, biosurveillance initiatives, and healthcare biopreparedness programs.She works at the intersection of science and policy to build capacity and support implementation of policies and collaboration across key stakeholders. Throughout the COVID-19 pandemic, she has engaged in science communication across media sources, including CNN, SkyNews, BBC, the Trevor Noah Show, This Podcast Will Kill You, NPR, Nature, Science, The Washington Post, The New York Times, The Atlantic, etc.HostsLauren Sauer, PhD, MScLauren is an Associate Professor in the College of Public Health, Department of Environmental, Agricultural, and Occupational Health, at the University of Nebraska Medical Center and Core Faculty of the UNMC Global Center for Health Security. She is an Adjunct Associate Professor of Emergency Medicine in the Johns Hopkins School of Medicine, and the director of the Special Pathogens Research Network.She previously served as Director of Operations for the Johns Hopkins Office of Critical Event Preparedness where she ran the inpatient COVID19 biobank and served on the COVID19 research steering committee for JHU. Lauren's research focuses on human subjects research in bio-emergencies and disasters, in particular, ethical implementation of research and navigating the regulatory environment. The goal of her research is to provide health care facilities with the tools needed to conduct a clinical and operational research response in emergencies.Rachel Lookadoo, JDRachel Lookadoo is an Assistant Professor in the Epidemiology department of the College of Public Health at the University of Nebraska Medical Center, and serves as the Deputy Director of the Center for Biosecurity, Biopreparedness, and Emerging Infectious Diseases. She also acts as the Director of Public Health Policy for the Water, Climate, and Health program at the University of Nebraska Medical Center. Ms. Lookadoo's background is as an attorney, and she focuses on the various legal...

The 2025 season gets officially underway with 17 games on February 1, and D-Fly & Dixie are back in the saddle to help get you acclimated and excited for the new year. Despite two-time defending champ Notre Dame again claiming the top spot in the IL Media Top 20, the main theme of this new season is fresh faces. The historic cohort of experienced, record-breaking household names have departed, ushering in a new era in college lacrosse. Have your team rosters and game notes ready for early season games. As seems the case every year, there are some rules changes to understand. Two significant changes center around replays and face-offs. Who better to talk face-offs than TD Ierlan, arguably the greatest face-off athlete of all time? Ierlan and Dixie break down why the rules were needed and how the new face-off mechanics will work. In addition, the guys talk about preparing for a long season, coaching the face-off, TD's college experience playing for three legendary coaches and which college team gets the most love on spring Saturdays. GAME PREVIEWS There are 18 games this weekend, with 17 on Saturday. Are you sitting down, because you aren't going to believe this. Practically all of the games (13 of the 17 games) are at noon. Ugh. How hard would it be to schedule games spread out from noon to 8 p.m.? In any case there are some intriguing battles, including two legitimate Top 20 matchups: No. 20 Richmond at No. 5 Maryland, noon Navy at High Point, noon Colgate at No. 14 Penn State, noon Loyola at No. 11 Georgetown, noon Jacksonville at No. 2 Syracuse, noon No. 8 JHU at No. 10 Denver, 2 p.m. In this week's winter weather-themed Give & Go, the fellas reminisce about snow days of yore and finding the best sledding hill in the neighborhood.

Now everyone in the playoffs has played at least one postseason game, or if you look at it another way, more than 60% of the playoff games are already over. And people are in a hurry to dismiss the WIAC, and they're in a hurry to crown NPI, because higher seeds have won 21 of the 24 games. (Of course, higher seeds have been at home in 23 out of 24 games, which might be a factor.) What did we learn from these games? Of the remaining high seeds, which ones improved their standing, improved their chances of going deep into this bracket, and which ones' chances are diminished? Patrick and Greg go through it all in this edition of the podcast. And most importantly, if the Texas Lutheran-Linfield game was dessert, what kind of dessert was it?  We hear from coaches and players involved in second-round games on Saturday, and we sit down with Johns Hopkins coach Dan Wodicka to talk about his team's heart-stopping finish against Grove City, their defensive prowess and their offensive adjustments as the season has progressed. Wodicka, who played for and coached under the late Jim Margraff, talks about how playing at JHU made him want to coach there, and reminds us how the program is carrying on Margraff's memory. Plus, who is leading the staff pick-em contest that is better known as Quick Hits? Stay tuned to hear about whose picks are doing the best, and to hear a tribute to his performance so far. 

Kathy Forbush, MBA and MS, returns to the Faculty Factory Podcast this week to discuss identifying leadership competencies among faculty within the academic medicine community and beyond, offering insights applicable to professionals at any stage of their careers. Building on our previous discussion from 2023, Kathy shares the process of updating JHU's leadership competency model to be more inclusive and reflective of shifting needs.  She is the Executive Director for HR-Talent Management at Johns Hopkins University (JHU), where she is responsible for conducting talent acquisition and leading learning and organization development functions for JHU.  The last time she joined us was in September 2023 for an interview titled “Identifying (and Fixing) Where Faculty Struggle with Leadership,” which you can revisit here: https://facultyfactory.org/leadership-struggles/.  You can learn more about her recent article that she co-authored with colleagues in the Journal of Healthcare Leadership, entitled “Inspiring and Preparing Our Future Leaders: Evaluating the Impact of the Early Career Women's Leadership Program,” here: https://www.dovepress.com/articles.php?article_id=94680. Learn more about the Faculty Factory: https://facultyfactory.org/.

In this episode of Transmission Interrupted, Lauren Sauer, an associate professor at the University of Nebraska Medical Center and director of the Special Pathogens Research Network with NETEC, dives deep into the current state of H5N1 wastewater testing and surveillance with Dr. Jana Broadhurst. Dr. Broadhurst, an associate professor in the UNMC College of Medicine and medical director at the Nebraska Biocontainment Unit Clinical Laboratory, shares her expertise on the complexities of monitoring H5N1, specifically focusing on the efficacy and significance of wastewater surveillance. They explore how wastewater monitoring has evolved, its role in early detection, and its integration with clinical testing strategies. Additionally, the conversation covers the challenges faced in clinical settings when diagnosing H5N1 and the innovative approaches being developed to enhance surveillance and detection.Join us for an insightful discussion on the future of H5N1 surveillance, the importance of community-based monitoring, and the next steps needed to improve diagnostic capabilities to safeguard public health.Questions or comments for NETEC? Contact us at info@netec.org.Visit Transmission Interrupted on the web at netec.org/podcast.GuestJana Broadhurst, Md, PhD, DTM&HJana Broadhurst, MD, PhD, DTM&H, is an Associate Professor in the Department of Pathology, Microbiology, and Immunology at the University of Nebraska Medical Center, where she directs the Infectious Diseases Diagnostics and Biopreparedness Council, Emerging Pathogens Laboratory, and U.S. Region 7 Special Pathogens Treatment Center clinical laboratory. As a clinical pathologist, microbiologist, and immunologist with expertise in emerging and high-consequence infectious disease research and response, Dr. Broadhurst works to develop and implement innovative tools to improve patient- and community-centered outcomes during infectious disease emergencies.HostLauren Sauer, MScLauren is an Associate Professor in the College of Public Health, Department of Environmental, Agricultural, and Occupational Health, at the University of Nebraska Medical Center and Core Faculty of the UNMC Global Center for Health Security. She is an Adjunct Associate Professor of Emergency Medicine in the Johns Hopkins School of Medicine, and the director of the Special Pathogens Research Network.She previously served as Director of Operations for the Johns Hopkins Office of Critical Event Preparedness where she ran the inpatient COVID-19 biobank and served on the COVID-19 research steering committee for JHU. Lauren's research focuses on human subjects research in bio-emergencies and disasters, in particular, ethical implementation of research and navigating the regulatory environment. The goal of her research is to provide health care facilities with the tools needed to conduct a clinical and operational research response in emergencies.ResourcesNETEC Influenza A (H5N1) Resources: https://repository.netecweb.org/exhibits/show/influenza/h5n1NETEC Resource Library: https://repository.netecweb.orgAbout NETECA Partnership for PreparednessThe National Emerging Special Pathogens Training and Education Center's mission is to set the gold standard for special pathogen preparedness and response across health systems in the U.S. with the goals of driving best practices, closing knowledge gaps, and developing innovative resources.Our vision is a sustainable infrastructure and culture of readiness for managing suspected and confirmed special pathogen incidents across the United States

Kesem is a national nonprofit whose mission is to support children through and beyond their parent's cancer. Kesem does year-round programming like care packages, birthday cards, and Friends and Family Days, but the flagship program is a week-long summer camp that is completely free for all families. Kesem serves children aged 6-18 and recruits families from the local area by each chapter. Kesem at JHU is the JHU chapter of the national organization, and this year, they held camp from August 12-16th at Sandy Hill Camp & Retreat Center in North East, Maryland, about an hour away from the JHU Homewood campus. Kesem is run by passionate student volunteers who work to fundraise, plan programming, and recruit families and volunteers to the chapter. Kesem at JHU served 83 campers this past summer and fundraised $52,042.75 this year to support their families. Episode Guests: Maggie “Mochi” Yang is a Fall ‘23 graduate of Johns Hopkins University, where she studied Molecular/Cellular Biology and minored in Psychology. Sandra “Happy Feet” Fahmy is a Spring ‘24 graduate of Johns Hopkins University, where she studied Chemistry and Neuroscience. Both having joined Kesem at JHU in their freshman year, Maggie and Sandra have both served on the coordinator board since sophomore year and just finished up their senior year as co-directors of the chapter. They just got back from camp last month in August, which was their fourth time at camp (third in-person). They are now both living in Boston during their gap year while they apply to medical school. Maggie is currently working as a clinical research coordinator at Massachusetts General Hospital, and Sandra is a medical assistant at Brigham and Women's Hospital.

Ed and Evan are once again joined by JHu from The Reel Phonies Podcast for a fun bit of Vehicular Vehicleslaughter with the episode "Masquerade." Of course, since their aging Gen X nerds, they have a chat about Star Trek and who was the better improvement, Riker's Bear or Sisko's shaved head?Check out Tony Buchanan's Auto Update here! https://www.facebook.com/share/p/XEt1Hsk5f2ECmmiS/?mibextid=xfxF2iIf you'd like to contact the guys, they'd love to hear from you!Edhatestransformers@gmail.comMorethanmeetstheseguys@gmail.com@mtmtgpod on Twitterhttps://www.facebook.com/MoreThanMeetsTheseGuys/https://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

Listen to this history lesson on American higher education with Dr. Michael Benson, the president of Coastal Carolina University and author of a biography about Daniel Coit Gilman, a pioneer in higher ed as the 1st president of Johns Hopkins University. Benson and I focus on how the then presidents of Cornell, Harvard and Michigan helped the trustees of JHU write the job description of the presidency that led to the hiring of Gilman. The discussion didn't stick only to history, but instead we used the past to talk about present day higher education across the country and certainly at Coastal Carolina. Benson explains why he thinks writing is an important skill and how writing this book changed him as a university president. 00:20 Trustees Attempt to Define the JHU President Job Description 12:20 Public Lectures for the Baltimore Community 16:48 Coastal Carolina's Presidential Signature Series 19:10 Older Generation Leaders Stepping Aside for Young Leaders 23:58 How Writing the Book Changed Benson as a College President Watch the interview on YouTube: https://youtu.be/F9BewhbRVrw

While roughly 70% of bee species are ground nesting, we know very little about the nesting biology of anything more than a handful of species. In this episode we hear from Dr. Jordan Kueneman and his project GNBees to generate more data from the public. Dr. Jordan Kueneman is a research scientist and director of Project GNBee, a community science project dedicated to research and conservation of ground-nesting bees. Web page: https://www.gnbee.org/ https://www.danforthlab.entomology.cornell.edu/people/jordan-kueneman/ iNaturalist Project: https://www.inaturalist.org/projects/ground-nesting-bees-3e6882c0-a112-4ddb-b043-1da25638ce96 Instagram: https://www.instagram.com/projectgnbee/?img_index=1 Youtube: https://www.youtube.com/channel/UCmWEIK6AhrOe307h92Jrk-g Facebook: Ground-Nesting Bee Crew Book recommendation: The Solitary Bees: Biology, Evolution, Conservation Go-to-tool: Michener CD. The bees of the world. JHU press; 2000. Favorite pollinator species: Andrena regularis  

In our fourth episode, we delve into the importance of gender-inclusive language in genetic counseling and the specific challenges transgender and gender-diverse (TGD) individuals face in accessing hereditary cancer care. You can find these articles in a special virtual issue of the Journal of Genetic Counseling which is free and open access for the month of June. You can find the Journal of Genetic Counseling webpage via onlinelibrary.wiley.com or via the National Society of Genetic Counselors website.    Segment 1 “Use of gender-inclusive language in genetic counseling to optimize patient care”   Heather Motiff graduated with a B.S. in Psychology from the University of Wisconsin-Whitewater in 2006. She has extensive experience working as a crisis response advocate and co-facilitating support groups for survivors of intimate partner violence. Heather discovered her interest in genetic counseling during her first pregnancy in 2010. She has served as a Community Resource Specialist and contributed significantly to gender-affirming care initiatives during her graduate studies at UW-Madison. Heather is now an oncology genetic counselor at SSM Health Cancer Care in Madison, WI, and is dedicated to providing inclusive, quality healthcare and genetic services.   In this segment we discuss: Specific examples and terms used in gender-inclusive language. Comfort levels of genetic counselors with using gender-inclusive language. Findings from thematic analyses on the use of gendered language and its impact on patient care. Suggestions for additional training resources for healthcare professionals. Segment 2 “Experiences of hereditary cancer care among transgender and gender diverse people: “It's gender. It's cancer risk…it's everything”   Sarah Roth is a genetic counselor and a PhD candidate in Anthropology at Johns Hopkins University. She is a BRCA1 carrier whose research focuses on the experiences of patients, communities, and providers in cancer care and genomic medicine. Sarah has been a founding editor of Tendon at JHU's Center for Medical Humanities & Social Medicine, a contributing writer at Synapsis: A Health Humanities Journal, and a recent predoctoral fellow in Bioethics at the National Institutes of Health.   In this segment, we discuss: Challenges faced by TGD individuals in accessing hereditary cancer care. Participants' perspectives on gendered language in healthcare. Actionable recommendations for healthcare providers to support TGD individuals with hereditary cancer syndromes.   Would you like to nominate a JoGC article to be featured in the show? If so, please fill out this nomination submission form here. Multiple entries are encouraged including articles where you, your colleagues, or your friends are authors.   Stay tuned for the next new episode of DNA Dialogues! In the meantime, listen to all our episodes Apple Podcasts, Spotify, streaming on the website, or any other podcast player by searching, “DNA Dialogues”.    For more information about this episode visit dnadialogues.podbean.com, where you can also stream all episodes of the show. Check out the Journal of Genetic Counseling here for articles featured in this episode and others.    Any questions, episode ideas, guest pitches, or comments can be sent into DNADialoguesPodcast@gmail.com.    DNA Dialogues' team includes Jehannine Austin, Naomi Wagner, Khalida Liaquat, Kate Wilson and DNA Today's Kira Dineen. Our logo was designed by Ashlyn Enokian. 

Durga Roy is an Associate Professor of Psychiatry and Behavioral Sciences at Johns Hopkins University School of Medicine and the Medical Director of the Johns Hopkins Neuropsychiatry and Brain Injury Clinic, and Head Injury Outpatient Psychiatric Day Program. She is the Director of Education for the Johns Hopkins Psychiatry Internship and the Director for the Consultation-Liaison Psychiatry Fellowship at Johns Hopkins University School of Medicine. She is board-certified in general adult psychiatry, and consult-liaison psychiatry and behavioral neurology/neuropsychiatry. She has authored numerous peer-reviewed publications focused on neuropsychiatric outcomes after traumatic brain injury. Her area of research interest focuses on predictors of psychiatric outcomes after traumatic brain injury, the neurobiology of depression after traumatic brain injury and the study of prognostic markers for depressive symptoms after traumatic brain injury using resting-state functional neuroimaging techniques.   Dr Durga Roy's Clinic Information   Dr Durga Roy's Grand Rounds Presentation at JHU on YouTube   5 Thoughts Friday: Discovered, Department, and Disliked   For more information you can visit www.biamd.org or call the free helpline at 1-800-221-6443.   Disclaimer: This podcast is provided for informational purposes only and does not constitute endorsement of treatments, individuals, or programs which appear herein. Any external links on the website are provided for the visitor's convenience; once you click on any of these links you are leaving the BIAMD website. BIAMD has no control over and is not responsible for the nature, content, and availability of those sites.

From the Bitcoin Magazine Archives | Recorded 7/26/2023 Join Hosts Spencer Nichols and Christian Keroles for a conversation with Reed College Philosophy Professor Troy Cross on the nature of epistemology, truth, and the knowledge crisis. We discuss the constraints on obtaining knowledge of the world, how beliefs are formed based on that knowledge, and how our society's ability to collectively makes sense of the word is fundamentally built on inter-personal trust. What might be the role of Bitcoin, a trust-minimized distributed time-stamping protocol, in restoring sensemaking in Western society? Also featuring Matthew Pines and Jamie King. -Spencer Nichols (https://x.com/DeSpencer_?s=20)-Christian Keroles ( https://x.com/ck_SNARKs?s=20)-Troy Cross (https://x.com/thetrocro?s=20)-Matthew Pines (https://x.com/matthew_pines?s=20)-Jamie King (https://x.com/jamie_jk?s=20) __________________ Enter the Bitcoin Halving Challenge! Visit https://www.bitcoinhalving.com/#challenge to place your guess for the price of bitcoin at the halving for the chance to win 1 BTC in prizes! Powered by Nitrobetting (https://nitrobetting.eu/) X (formerly Twitter)Spencer Nichols (@DeSpencer_) on X #Bitcoin and Sustainability | Marketing @BitcoinMagazine | @Tulane Alum X (formerly Twitter)ck (@ck_SNARKs) on X Bitcoin is Freedom. X (formerly Twitter)Troy Cross (@thetrocro) on X Philosopher. Environmentalist. Bitcoiner. X (formerly Twitter)Matthew Pines (@matthew_pines) on X Director, Security Advisory @SentinelOne | National Security Fellow @btcpolicyorg | physics & philosophy @ JHU, public policy @ LSE | geopol/tech/cyber/#Bitcoin X (formerly Twitter)Jamie King (@jamie_jk) on X Currently working on TRUST (https://t.co/nBBxY43Ngd). Previously: THIS MACHINE GREENS (https://t.co/wmyQXmnDJR), SCHISM (https://t.co/nH8vJDIZdW), STEAL THIS FILM.

Pathogens in Pop Culture: Pandemic and Play - A Board Game Journey with Matt LeacockJoin NETEC hosts Lauren Sauer and Rachel Lookadoo for this special episode of Transmission Interrupted as the Pathogens in Pop Culture series continues. In this episode, Lauren and Rachel delve into the world of tabletop gaming with special guest Matt Leacock, renowned board game designer and creator of the widely popular cooperative game Pandemic. Together, they explore Matt's experience creating the game and discuss how real-life pandemics and issues like global warming influence the design and creation of his tabletop games. From the positive reception of the game within the infectious disease and pandemic response communities to Matt's upcoming climate change-focused game, Daybreak, this episode promises to be a captivating exploration of the intersection between gaming, education, and public health, offering a unique perspective on these critically important topics. So grab your headphones and join us for another intriguing episode of Transmission Interrupted.Questions or comments for NETEC? Contact us at info@netec.org.Visit Transmission Interrupted on the web at netec.org/podcast.GuestsMatt LeacockMatt Leacock has been designing board games since he was very young and full time since 2014. He is best known as a designer of cooperative games, including Pandemic, Daybreak, and Forbidden Island. Pandemic, first published in 2008, has sold over 5 million copies worldwide and is available in over 30 languages. His latest game, Daybreak, challenges players to stop climate change. He lives in Sunnyvale, California. For information about Matt and his creations, visit Matt Leacock Games at www.leacock.comHostLauren Sauer, MScLauren is an Associate Professor in the College of Public Health, Department of Environmental, Agricultural, and Occupational Health, at the University of Nebraska Medical Center and Core Faculty of the UNMC Global Center for Health Security. She is an Adjunct Associate Professor of Emergency Medicine in the Johns Hopkins School of Medicine, and the director of the Special Pathogens Research Network.She previously served as Director of Operations for the Johns Hopkins Office of Critical Event Preparedness where she ran the inpatient COVID-19 biobank and served on the COVID-19 research steering committee for JHU. Lauren's research focuses on human subjects research in bio-emergencies and disasters, in particular, ethical implementation of research and navigating the regulatory environment. The goal of her research is to provide health care facilities with the tools needed to conduct a clinical and operational research response in emergencies.Rachel Lookadoo, JDRachel Lookadoo is an Assistant Professor in the Epidemiology department of the College of Public Health at the University of Nebraska Medical Center, and serves as the Deputy Director of the Center for Biosecurity, Biopreparedness, and Emerging Infectious Diseases. She also acts as the Director of Public Health Policy for the Water, Climate, and Health program at the University of Nebraska Medical Center. Ms. Lookadoo's background is as an attorney, and she focuses on the various legal and regulatory issues that can arise in emergency preparedness and response. She specializes in public health impacts of climate change, healthcare surge events, isolation/quarantine law, crisis standards of care, infectious disease response, and general legal preparedness. Ms. Lookadoo also conducts emergency preparedness trainings and assessments for public health departments and healthcare facilities nationally. Ms. Lookadoo received her Juris Doctor degree from American University Washington College of Law,

Coach Adam Schlonoff is the Associate Head Coach for JHU Baseball, Owner of ABC Baseball, and GM of the Baltimore Clippers.   Join us as we learn about Summer Baseball for high school and college athletes.  Who knew how busy things were in August?   JHU baseball - HERE Coach Schlenoff on Twitter - HERE    

Tyler covers the top news headlines of the week relevant to ComixLaunchers! Stories include the new mandatory AI Disclosure questions on Kickstarter, new publisher DSTILRY's "online drop" business model, JHU in Manhattan closing and more.

In the season 9 premiere, the hosts dive into a hype episode centered around the power of sisterhood and women! Shay, Kiana and Candy Raine - celebrate Beyoncé and Blue Ivy as the CareFreeBlackGirls of the week, highlighting how Beyoncé's tour united communities and praising women like Cardi B and Janelle Monae for uplifting Megan Thee Stallion. The conversation delves into Simone Biles' return to competition after battling nerves, providing a segue for discussing overcoming pressure and self-reinvention. The "Bops" segment features musical recommendations: "On my Mama" by Victoria Monet, "Hood Rats" by Sukihana & Sexyy Red, and the remix of "Like Dat" by Stunna Girl & JT.  The hosts shift focus to a crucial issue in the "Get Free" segment, shedding light on the Black maternal health crisis. They reference informative sources like NPR and JHU to discuss the problem's depth and potential solutions. In "Girls To Watch," the spotlight is on Paige Addison, a host from Atlanta, and her show "MTV: The Love Experiment." The episode wraps up with a segment on rising talent to watch, including Bando Beatz and Escape Key. Tune in w/ us every other Tuesdays and hashtag #CareFreeBlackGirl to stay engaged with the conversation. Follow the hosts on Twitter; DJ Candy Raine - @mycandyraine Rebellious Kiana - @RebelliousKiana BrandNameShay - @BrandNameShay Follow the Podcast on Twitter @CFBGPod Produced by Quanna Engineered & Executively Produced by Wize Grazette Learn more about your ad choices. Visit megaphone.fm/adchoices

Bryan Woolson is the Regional Director of the MedStar Health Sports Performance program in Forest Hill, MD where he oversees the day-to-day operations of the Harford County facility. In addition, Woolson is the head strength & conditioning coach for the John's Hopkins Women's Lacrosse team. Woolson has been working with the JHU lacrosse program for over 10 years now, first starting with the women's team in 2013. In his time at Hopkins, he has also spent time working with the field hockey, men's soccer, and women's basketball programs. From 2011-2015 he served as the strength and conditioning coach for the Boys' Latin School of Maryland's lacrosse team and has been a performance coach for the NEMS Lacrosse Club since 2013. Woolson is the owner of M.O.A.B. Performance, an online program that provides training and nutrition advice to help clients and athletes alike achieve their goals through a life of pain-free performance. Woolson is a former college football running back at Salisbury University. A 3-year starter and team captain in his senior season, he still holds multiple lifting records for his position. After a brief stint competing in powerlifting, he still continues to strength train and is also an avid golfer.Samson Equipment Samson Equipment provides Professional Weight Room Solutions for all your S&C needs.Cerberus Strength Use Code: STRENGTH_GAME at Cerberus-Strength.comDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

Summary Ryan Zimmerman (MLB Stats; Wikipedia) and Marc Polymeropoulos (Twitter; LinkedIn) join Andrew to discuss intelligence and America's pastime. From the SpyCast Field of Dreams. What You'll Learn Intelligence Sign-stealing and codebreaking Glue guys and teamwork Ethics in baseball and espionage Clutch and pinch hitters in espionage and baseball Reflections Daring to fail Stepping up to the plate of life And much, much more… Episode Notes Buy me some peanuts and crackerjack. Few things in the world compare to sitting back, putting your feet up, and cracking open a cold one while watching the World Series.  For the 2021 World Series Marc joined us for a fantastic discussion on the links between baseball and espionage. How do we top that? A baseball fanatic ex-CIA officer?  Why, how about getting a first-round draft pick, World Series Champion with over 6500 at-bats? Done! Enter Ryan Zimmerman, Mr. National!  Ever wondered about signs-stealing, how to run a baseball counterintelligence operation, or what some of the many, many links are between baseball and espionage? You've come to the right place for a discussion that goes to the bottom of the ninth inning over a two-episode conversation. Ryan played for the Nationals from 2005, when he was a first-round draft pick, through to 2021, when his #11 jersey was retired. He is an ex- All-Star, Silver Slugger, Gold Glove winner, and 2019 World Series Champion.  Marc is a highly decorated former CIA operations officer who specialized in counterterrorism, the Middle East, and South Asia. Prior to his retirement, he served at CIA headquarters in charge of clandestine operations in Europe and Eurasia. He is the author of the 2021 book, “Clarity in Crisis: Leadership Lessons from the CIA.” And… “Big Data” is upending many fields, not least baseball and espionage. Gaining a competitive edge is central to both activities, the big argument is about how much “soul” is lost along the way. The Houston Astros have been a lighting-rod team, whose “smart and modern” or “cold and cynical” approach has been discussed at Penn's Wharton School of Business and in the pages of the Harvard Business Review.  Quotes of the Week "I think “Dare to Fail” is enormous. I would want you to put me up at the bases load in the bottom of the ninth. I'll take it every single time. Even if I feel like I have zero chance, I want to be there." - Ryan Zimmerman "You know, you have to have that mentality in these professions." - Marc Polymeropoulos Resources *Andrew's Recommendation* Moneyball, M. Lewis (W.W. Norton, 2004) Love it or hate it, this is the first port of call for any reckoning of baseball and analytics.  *SpyCasts* “Baseball & Espionage” – with Marc Polymeropoulos (2021) *Beginner Resources* Spy Agencies Struggling in Age of Big Data, A. Zegart, Wired (2022) [article] Baseball Analytics for the Casual Fan, Simple Sabermetrics (2020) [7 min video] Beginners Guide to Baseball Analytics, N. Allen, Fansided (2018) [article] Best Baseball Analytics Resources, Simple Sabermetrics (2022) Books Spies, Lies and Algorithms, A. Zegart (PUP, 2022) The Catcher Was a Spy: Moe Berg, N. Dawidoff (Pantheon, 1994) Articles Baseball and Cybersecurity, S. Handler, Atlantic Council (2020) Baseball's Rude Welcome to Age of Cyberespionage, N. Paine, 538 (2015) The Man Who Remade Basketball, M. McCluskey, Wired (2014) Baseball on Exhibit: Musuems in the SABR Era, Z. Jendro, SABR (2011) Video Lessons from the CIA's Analytic Front-Lines, B. Pease, JHU (2022) Sabermetrics 101: Baseball Analytics, A. Andres, Talks at Google (2016) CIA's Chief Information Officer - Advanced Analytics, D. Wolfe, O'Reilly (2015) Primary Sources The PC Goes to Bat (1984) *Wildcard Resource* Get “Analytics Certification” from the Society for American Baseball Research (SABR) - which is where the term “sabermetrics” comes from!

- Proyecto de estadidad no podría ser obligatorio - El Nuevo Día - Seis candidatos a ser senadores por Guayama, incluyendo a Eder ORtiz exsenador y comisionado electoral PPD - El Nuevo Día- Contralor electoral pide limitar cash a 250 en donaciones - El Nuevo Día- Gasolina baja en 30% en USA y PR - Qz - Proponen prohibir trans en cárcel de mujeres - El Vocero - Precios de carros usados lo que está afectando la inflación mayor - Qz- CRIM va tras 240 mil propiedades - El Nuevo Día- Negocian cambios a la ley electoral - El Nuevo Día - - Madre alega su hijo se cayó de segundo piso ayer y sufrió daño craneal - Noti UNO - Fraude por montones en desempleo, patronoes niegan que gente haya trabajado con ellos cuando solicitan fondos - El Nuevo Día - Subirían costo de colegios privados - El Nuevo Día - Vacuna posible para cáncer de páncreas - El Nuevo Día - Jóvenes Gen Z nacidos en 1996-2012, sin partido - Noticel - Republicanos quieren cortar billones que incluyen a PR - El Nuevo Día- Mundi comparte con otros elefantes - Jesús Manuel gana la presidencia del PPD el viernes - Muelle de Fajardo llevaría a gente a Islas Vírgenes - Primera Hora - Verdejo quiere juicio fuera de PR - Vocero- Sigue abandonado el Museo del Niño de VSJ - El Nuevo Día - Boricua de UPR, entra a JHU y Harvard - El Nuevo Día- Brutal efecto de la economía en PR por cambio climático - Vocero - Calidad de aire en PR es de dudosa calidad - El Nuevo Día - Erdogan va a segunda vuelta en Turquía tras no lograr ganar - Economist- Vice a quiebra - NYT hoy voy pa Martin's BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico,Cocinando diariamente comida fresca, saludable y sabrosa con un montón de complementos para escoger...Hoy lunes en Martin's tienen el sanchocho o la sopa del dia con complemento y agua o refresco 16onzas solo $8.25Hoy como Martin's BBQAsado…Jugoso…Sabrosoincluye auspicio

One of the great things about college lacrosse is that there are always many important games every week of the season. Week in and week out it's consistently good. Always. But then Rivalry Week comes, and it's just better. The tradition and history in the series. The familiarity of the teams. The disdain, yet often mutual respect, between fanbases. The bragging rights to the victor. Then add in the fact that it comes late in the regular season, and the Rivalry Game means there are usually post-season implications at stake. The 2023 edition of Rivalry Week brings all this and more. Highlighting our Rivalry Week preview show is an interview with third-year Hopkins head coach, Peter Milliman. He'll be at the center of the storm this week as he guides his No. 7-ranked Blue Jays into College Park to face the No. 3-ranked Maryland Terrapins on Saturday night. Milliman sits down with the guys to talk about changes coming out of the disappointing 2022 season, the significant addition of two new staff members, navigating one of the nation's toughest schedules, the Blue Jays' team leaders, what has made the Jays so good in late-game situations, the role JHU plays in growing the sport, the incredible success of Hopkins Athletics as a whole, team motivation going into The Rivalry and much, much more. WEEKEND PREVIEWS This week's schedule is crazy. It's littered with Rivalry Week gems, big league battles for the top of the standings and highlighted by four Top 20 matchups. Enjoy the games. FRIDAY's Top Matchups No. 11 Rutgers (8-4, 1-3 B1G) at No. 5 Penn State (8-3, 3-1), 6 p.m., BTN Ohio State (5-7, 1-3 B1G) at No. 18 Michigan (5-6, 1-3), 8 p.m., BTN SATURDAY's Top Matchups Drexel (7-4, 4-1 CAA) at No. 17 Delaware (9-3, 5-0), noon Lehigh (8-3, 5-1 Patriot) at Boston U (8-3, 5-1), noon, CBS Sports Network No. 14 North Carolina (7-5, 1-3 ACC) at No. 1 Notre Dame (8-1, 2-1), noon, ESPNU No. 12 Syracuse (8-5, 1-3 ACC) at No. 4 Virginia (8-3, 2-2), 2 p.m., ESPNU No. 7 Johns Hopkins (10-4, 3-1 B1G) at No. 3 Maryland (8-3, 3-1), 6 p.m., BTN No. 8 Army (9-2, 6-0 Patriot) at Navy (7-6, 4-2), 7 p.m., CBS Sports Network GIVE & GO In a Rivalry-inspired Give & Go, the fellas talk about some of the world's most famous rivalries. They also send some love to listener Logan on his wedding day and answer Logan's two mailbag questions.

Summary Ryan Zimmerman (MLB Stats; Wikipedia) and Marc Polymeropoulos (Twitter; LinkedIn) join Andrew to discuss intelligence and America's pastime. From the SpyCast Field of Dreams. What You'll Learn Intelligence Sign-stealing and codebreaking Glue guys and teamwork Ethics in baseball and espionage Clutch and pinch hitters in espionage and baseball Reflections Daring to fail Stepping up to the plate of life And much, much more… Episode Notes Buy me some peanuts and crackerjack. Few things in the world compare to sitting back, putting your feet up, and cracking open a cold one while watching the World Series.  For the 2021 World Series Marc joined us for a fantastic discussion on the links between baseball and espionage. How do we top that? A baseball fanatic ex-CIA officer?  Why, how about getting a first-round draft pick, World Series Champion with over 6500 at-bats? Done! Enter Ryan Zimmerman, Mr. National!  Ever wondered about signs-stealing, how to run a baseball counterintelligence operation, or what some of the many, many links are between baseball and espionage? You've come to the right place for a discussion that goes to the bottom of the ninth inning over a two-episode conversation. Ryan played for the Nationals from 2005, when he was a first-round draft pick, through to 2021, when his #11 jersey was retired. He is an ex- All-Star, Silver Slugger, Gold Glove winner, and 2019 World Series Champion.  Marc is a highly decorated former CIA operations officer who specialized in counterterrorism, the Middle East, and South Asia. Prior to his retirement, he served at CIA headquarters in charge of clandestine operations in Europe and Eurasia. He is the author of the 2021 book, “Clarity in Crisis: Leadership Lessons from the CIA.” And… “Big Data” is upending many fields, not least baseball and espionage. Gaining a competitive edge is central to both activities, the big argument is about how much “soul” is lost along the way. The Houston Astros have been a lighting-rod team, whose “smart and modern” or “cold and cynical” approach has been discussed at Penn's Wharton School of Business and in the pages of the Harvard Business Review.  Quotes of the Week "I think “Dare to Fail” is enormous. I would want you to put me up at the bases load in the bottom of the ninth. I'll take it every single time. Even if I feel like I have zero chance, I want to be there." - Ryan Zimmerman "You know, you have to have that mentality in these professions." - Marc Polymeropoulos Resources *Andrew's Recommendation* Moneyball, M. Lewis (W.W. Norton, 2004) Love it or hate it, this is the first port of call for any reckoning of baseball and analytics.  *SpyCasts* “Baseball & Espionage” – with Marc Polymeropoulos (2021) *Beginner Resources* Spy Agencies Struggling in Age of Big Data, A. Zegart, Wired (2022) [article] Baseball Analytics for the Casual Fan, Simple Sabermetrics (2020) [7 min video] Beginners Guide to Baseball Analytics, N. Allen, Fansided (2018) [article] Best Baseball Analytics Resources, Simple Sabermetrics (2022) Books Spies, Lies and Algorithms, A. Zegart (PUP, 2022) The Catcher Was a Spy: Moe Berg, N. Dawidoff (Pantheon, 1994) Articles Baseball and Cybersecurity, S. Handler, Atlantic Council (2020) Baseball's Rude Welcome to Age of Cyberespionage, N. Paine, 538 (2015) The Man Who Remade Basketball, M. McCluskey, Wired (2014) Baseball on Exhibit: Musuems in the SABR Era, Z. Jendro, SABR (2011) Video Lessons from the CIA's Analytic Front-Lines, B. Pease, JHU (2022) Sabermetrics 101: Baseball Analytics, A. Andres, Talks at Google (2016) CIA's Chief Information Officer - Advanced Analytics, D. Wolfe, O'Reilly (2015) Primary Sources The PC Goes to Bat (1984) *Wildcard Resource* Get “Analytics Certification” from the Society for American Baseball Research (SABR) - which is where the term “sabermetrics” comes from!

Summary Ryan Zimmerman (MLB Stats; Wikipedia) and Marc Polymeropoulos (Twitter; LinkedIn) join Andrew to discuss intelligence and America's pastime. From the SpyCast Field of Dreams. What You'll Learn Intelligence Sign-stealing and codebreaking Glue guys and teamwork Ethics in baseball and espionage Clutch and pinch hitters in espionage and baseball Reflections Daring to fail Stepping up to the plate of life And much, much more… Episode Notes Buy me some peanuts and crackerjack. Few things in the world compare to sitting back, putting your feet up, and cracking open a cold one while watching the World Series.  For the 2021 World Series Marc joined us for a fantastic discussion on the links between baseball and espionage. How do we top that? A baseball fanatic ex-CIA officer?  Why, how about getting a first-round draft pick, World Series Champion with over 6500 at-bats? Done! Enter Ryan Zimmerman, Mr. National!  Ever wondered about signs-stealing, how to run a baseball counterintelligence operation, or what some of the many, many links are between baseball and espionage? You've come to the right place for a discussion that goes to the bottom of the ninth inning over a two-episode conversation. Ryan played for the Nationals from 2005, when he was a first-round draft pick, through to 2021, when his #11 jersey was retired. He is an ex- All-Star, Silver Slugger, Gold Glove winner, and 2019 World Series Champion.  Marc is a highly decorated former CIA operations officer who specialized in counterterrorism, the Middle East, and South Asia. Prior to his retirement, he served at CIA headquarters in charge of clandestine operations in Europe and Eurasia. He is the author of the 2021 book, “Clarity in Crisis: Leadership Lessons from the CIA.” And… “Big Data” is upending many fields, not least baseball and espionage. Gaining a competitive edge is central to both activities, the big argument is about how much “soul” is lost along the way. The Houston Astros have been a lighting-rod team, whose “smart and modern” or “cold and cynical” approach has been discussed at Penn's Wharton School of Business and in the pages of the Harvard Business Review.  Quotes of the Week "I think “Dare to Fail” is enormous. I would want you to put me up at the bases load in the bottom of the ninth. I'll take it every single time. Even if I feel like I have zero chance, I want to be there." - Ryan Zimmerman "You know, you have to have that mentality in these professions." - Marc Polymeropoulos Resources *Andrew's Recommendation* Moneyball, M. Lewis (W.W. Norton, 2004) Love it or hate it, this is the first port of call for any reckoning of baseball and analytics.  *SpyCasts* “Baseball & Espionage” – with Marc Polymeropoulos (2021) *Beginner Resources* Spy Agencies Struggling in Age of Big Data, A. Zegart, Wired (2022) [article] Baseball Analytics for the Casual Fan, Simple Sabermetrics (2020) [7 min video] Beginners Guide to Baseball Analytics, N. Allen, Fansided (2018) [article] Best Baseball Analytics Resources, Simple Sabermetrics (2022) Books Spies, Lies and Algorithms, A. Zegart (PUP, 2022) The Catcher Was a Spy: Moe Berg, N. Dawidoff (Pantheon, 1994) Articles Baseball and Cybersecurity, S. Handler, Atlantic Council (2020) Baseball's Rude Welcome to Age of Cyberespionage, N. Paine, 538 (2015) The Man Who Remade Basketball, M. McCluskey, Wired (2014) Baseball on Exhibit: Musuems in the SABR Era, Z. Jendro, SABR (2011) Video Lessons from the CIA's Analytic Front-Lines, B. Pease, JHU (2022) Sabermetrics 101: Baseball Analytics, A. Andres, Talks at Google (2016) CIA's Chief Information Officer - Advanced Analytics, D. Wolfe, O'Reilly (2015) Primary Sources The PC Goes to Bat (1984) *Wildcard Resource* Get “Analytics Certification” from the Society for American Baseball Research (SABR) - which is where the term “sabermetrics” comes from!