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Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailHave you ever walked away from a conversation thinking, Why did I react like that? Maybe you've promised yourself you wouldn't lose your patience, shut down, or become defensive again, only to find yourself falling into the same patterns.What if those reactions aren't simply about willpower?In this fascinating conversation, Robin Blumenthal sits down with neuroscience educator and founder of the Neural Leadership Academy, Rick Griffin, to explore how our brains are constantly working behind the scenes to predict, protect, and conserve energy. Understanding these hidden processes can completely change the way we view ourselves and the people we love.Rather than responding with shame or frustration, you'll learn how curiosity opens the door to healthier relationships, greater self-awareness, and lasting change.Whether you're navigating parenting, marriage, friendships, leadership, or your own healing journey, this episode offers practical insights that can help you respond with greater wisdom and compassion.In This Episode You'll Discover:• Why knowing what to do doesn't always translate into doing it• The surprising reason your brain falls back on old habits during stressful moments• How brain energy impacts your emotions, communication, and decision making• Four hidden sources of strain that affect every relationship• Why curiosity is one of the most powerful tools for healing and connection• How to recognize when you or someone else needs safety, clarity, rest, or reduced overwhelm• Practical ways to pause, reset, and respond instead of simply reacting• A simple framework that can help you navigate difficult conversations with greater confidenceThis conversation will help you understand that behavior is often the result of a brain under strain, not simply a lack of character or self-control. That shift in perspective can transform the way you relate to yourself and to others.Connect with Rick GriffinLearn more about Rick's work, neuroscience education, and Neuro Nation resources through the Neural Leadership Academy and his weekly Substack.www.neuro-la.comhttps://www.linkedin.com/in/rick-griffin-nla/Share This EpisodeIf this conversation encouraged you, share it with a friend, spouse, parent, counselor, ministry leader, or anyone who desires healthier relationships and a deeper understanding of how God designed the brain to work.Healing often begins with understanding, and sometimes one new perspective can change everything.Here are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailWhat does AI literacy actually look like for pathologists, researchers, and future clinicians? And how do you teach it in a way that is practical, not abstract?In this episode, I talk with Candice Chu, DVM, PhD about something I think a lot of people in digital pathology and computational pathology are feeling right now: AI is moving fast, but education is still catching up.Candice is a clinical pathologist, veterinarian, and educator building AI-focused teaching and research at Texas A&M. We worked together before on digital pathology and image analysis projects, so this conversation felt especially grounded. We talk about her AI literacy curriculum framework for veterinary education, why she decided to build it, and what it takes to teach AI in a way that is useful, ethical, and realistic.This episode is about understanding what AI tools are good for, where they can waste your time, and why hands-on experience matters. Candice explains why she sees AI as a set of tools, not a belief system. Try them. Learn them. Keep what improves your workflow. Drop what does not.We also talk about the difference between putting educational content online and building formal institutional teaching. That matters because social media can move quickly, but curriculum changes, research, and professional organizations shape longer-term adoption. Candice shares how her course started as a low-stakes elective, then grew into a more structured framework that combines education with publishable research.A big part of this conversation is the curriculum itself. We go through what students actually learn: AI fundamentals without heavy math, machine learning and image analysis, large language models, prompt engineering, chatbot building, ethics, literature research, and final projects where students evaluate real tools and workflows. I liked that the course does not stop at theory. It asks students to use tools, question them, and explain where they help and where they do not.We also get into something that matters far beyond veterinary medicine: professional responsibility. If AI is involved in a workflow, the clinician is still responsible. That includes fabricated citations, bad outputs, weak prompts, and the temptation to trust tools too quickly. Candice makes a strong case that AI education needs ethics, legal context, and interdisciplinary teaching built in from the start.If you are trying to think more clearly about AI in pathology, education, workflow design, or professional training, this episode gives you a concrete example of what responsible AI literacy can look like.Episode Highlights00:00 – Why AI tools are just tools, and why trying them matters even if you later decide not to keep using them00:33 – Who Candice Chu is and why her work on AI literacy in veterinary medicine is worth paying attention to02:33 – Why going back to Texas A&M changed the scale of Candice's AI research and teaching07:53 – How the AI course was designed as a low-stakes elective first, and why that helped student engagement11:16 – Where veterinary AI education stands now, and what professional organizations like ACVP are doing13:08 – Why AI adoption in veterinary medicine is still slow, and what skepticism usually sounds like in practice15:19 – Real examples of how Candice uses LLMs and computer vision in pathology, medical records, and research19:58 – What is actually inside the 15-week AI literacy curriculum, from fundamentals to final projects24:16 – Why ethics and legal responsibility are not optional in AI education31:35 – Why no-code tools and vibe coding are entering the curriculum already38:50 – The AI tools Candice is testing in her own workflow, including Claude, Codex, and PerplexityResources mentionedCandice Chu's AI literacy curriculum framework paper in Frontiers in Veterinary ScienceCandice's earlier work on ChatGPT in veterinary medicineTexas A&M and the institutional setting where Candice is building AI research and teachingMr. Don Riddick and the AVMA AI working group, mentioned in the ethics and legal contextClaude, Codex, and Perplexity as AI tools Candice is actively testingDigital Pathology 101, mentioned in the conversation as a teaching resourceCandice's online educational work on Instagram.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy.If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Are you an Indian national trying to get a green card inside the U.S.? Everything changed on May 22, 2026, when USCIS quietly dropped a bombshell memo that threw out decades of adjustment of status standards and if you're on an H-1B, L-1, student visa, tourist visa, or you're a parent who just wants to stay close to your kids, this video is your most important watch right now. Immigration attorney John Khosravi breaks down exactly what this new policy means for Indian nationals specifically: who's still getting approved, who's at risk, whether you should still file or pivot to consular processing, why the fiancé visa might now make sense even though attorneys hate it, and the critical Indian civil document mistakes (birth certificates, parents' names, missing registration stamps) that quietly kill green card cases before they even start. With field offices handling this memo inconsistently, embassy processing in India notoriously unpredictable, and rules changing every 12 hours under this administration, you cannot afford to make a move without watching this first. This is the most up-to-date, India-specific green card breakdown you'll find online as of June 2026.

The rules just changed and if you or your spouse is applying for a U.S. marriage green card in 2026, this video could save your case. On May 22, 2026, USCIS dropped a vague but major policy update that throws years of precedent out the window, giving officers sweeping discretion to deny adjustment of status applications. Marriage immigration attorney John Khosravi breaks down exactly what this means for Canadians and foreign spouses on tourist visas, student visas, TNs, H-1Bs, and more including whether you should still file inside the U.S. or pivot to consular processing, why the K-1 fiancé visa is suddenly back on the table, how dual citizenship could trigger administrative processing delays, and the specific Canadian police certificate mistake that gets applications rejected. If your green card case is in progress or you're about to start, watch this before you file anything. 

In this episode, I sit down with Scott Mason, also known as The Myth Slayer. Scott is a speaker, author, leadership coach, and former attorney whose own transformational journey led him from a successful career on paper to discovering a deeper calling rooted in purpose, self-awareness, and personal growth. After a mysterious illness forced him to reevaluate everything, Scott began developing the framework that now helps others identify and overcome the hidden beliefs keeping them stuck.    In this episode, we discuss: What "toxic myths" are and how they quietly shape your life and decisions The five common belief patterns that keep people stuck and unfulfilled How Scott's life-threatening illness became the catalyst for profound transformation Why self-awareness is the foundation for purpose, growth, and meaningful change The difference between living according to expectations and living according to destiny How charisma can be developed, even by introverts and quiet leaders Why rewriting your personal story is the key to creating lasting transformation   This conversation is a reminder that your past does not define your future. When you identify the stories that no longer serve you and choose to step into your own hero's journey, new possibilities begin to unfold in ways you may never have imagined!   About Scott: Scott Mason, aka The Myth Slayer, is a speaker, author, podcaster, and transformational and leadership coach. A graduate of Columbia law school, Scott spent over 20 years as a lawyer and senior executive in governments and nonprofits, overseeing over 300+ senior centers, serving as second-in-command in NYC's administrative court system, and acting as General Counsel and Head of Operations for the nation's largest domestic violence shelter provider. As an entrepreneur, Scott scaled a manufacturing company into a two-city operation before launching his coaching business. A two-time TEDx Speaker, he hosts a leadership-focused YouTube series.   CONNECT:https://www.myfreedomrocks.comhttps://www.linkedin.com/in/themythslayer/https://www.instagram.com/s.scott_masonhttps://www.facebook.com/scott.mason.1291https://www.youtube.com/@Myth_Slayer   Get Scott's FREE E-book Here!https://www.myfreedomrocks.com/charismatic-olympian-book    ----- Connect with Candice Snyder! Website: https://www.podpage.com/passion-purpose-and-possibilities-1/ Facebook: https://www.facebook.com/candicebsnyder?_rdr Passion, Purpose, and Possibilities Community Group: https://www.facebook.com/groups/passionpurposeandpossibilitiescommunity/ Instagram: https://www.instagram.com/passionpurposepossibilities/ LinkedIn: https://www.linkedin.com/in/candicesnyder/ Shop For A Cause With Gifts That Give Back to Nonprofits: https://thekindnesscause.com/ Go to FusionaryFormulas.com and use code PASSION at checkout for 15% off your first order.  Fall In Love With Artists And Experience Joy And Calm: https://www.youtube.com/@movenartrelaxation

Send us Fan MailWhat if we've been looking at the Samaritan woman through the wrong lens all along?In this powerful teaching, Bible teacher Leanna Magelli invites us to take a fresh look at one of the most familiar stories in Scripture, John 4, the Samaritan woman at the well. As Leanna digs into the geography, history, and context surrounding this passage, she uncovers surprising connections between the woman at the well and Dinah's story in Genesis.She explores what happened in the land of Shechem, a place marked by abuse, violence, betrayal, and brokenness, and why Jesus intentionally chose to walk through Samaria and stop at that particular well.She paints a picture of a woman carrying deep pain and loss, a woman Jesus pursued, saw, and entrusted with His message.If you've ever struggled with shame, felt overlooked, carried wounds from your past, or wondered if God truly sees you, this episode is for you.This episode is provided by our Sponsor, Southwest Investment Advisors - "As financial advisors, they spend their careers helping people plan for the future. While supporting organizations like ours that assist families and provide compassionate care. This aligns with their commitment to helping individuals and communities thrive."You can connect with them at www.siatucson.com. Now let's get the hot take on the woman at the well... In This Episode We Discuss:• Why Jesus "had to" go through Samaria• The connection between John 4 and Genesis 33-34• What happened in Shechem and why it matters• A different perspective on the Samaritan woman's five husbands• How Jesus approaches our deepest wounds• Why God consistently values, protects, and elevates women throughout Scripture• The difference between seeing yourself through the world's lens versus God's lens• How Jesus redeems what has been done to us and what we have done• Why suffering and joy often walk hand in hand• What it means to allow God to reclaim your storyKey ScripturesJohn 4:1-42Genesis 33-34Acts 1:8A Final EncouragementThe Samaritan woman didn't have to explain her pain to Jesus. He already knew. He knew her story, her losses, her wounds, and He still chose her.The same is true for us.Jesus knows the things we've done, the things that have been done to us, and the places we still carry shame. Yet He continues to pursue us with love, offering healing, redemption, and living water.Whatever your "Shechem" may be, the place marked by pain, loss, disappointment, betrayal, or brokenness, Jesus is willing to meet you there.Because you are seen. You are known. You are loved.And your story is not over.Enjoy more of Leanna's Bible teachings as well as her Pastors at https://www.youtube.com/@FCC_TUCSONConnect with Reclaimed StoryWebsite: reclaimedstory.comDownload the Reclaimed Story App anywhere you grab your apps.Follow us on Facebook, Instagram, and YouTube ~ @reclaimedstoryListen to more episodes of Living the Reclaimed Life Podcast anywhere you listen to podcasts. Because your story can become your strength.Here are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

*Recorded before the May 27, 2026, USCIS Adjustment of Status Policy Memo Update. From fiancé visa to U.S. citizenship immigration attorney John Khosravi breaks down the entire marriage-based green card journey in one video. Using real receipt notices from recently filed cases, he walks you through every stage: the I-129F fiancé visa and I-130 marriage petition, National Visa Center processing, embassy interviews, adjustment of status, biometrics, the conditional green card, I-751 removal of conditions, and finally the N-400 naturalization application. He also covers current complications including the 39-country travel pause, administrative processing delays, and political factors affecting timelines as of May 2026. Whether you're just engaged, recently married, or already holding a green card, this is your complete roadmap. 

Spiritual Warfare I'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailAre pathology foundation models actually ready for labs, or are they still stronger on paper than in practice?In this episode of DigiPath Digest #49, I unpack a timely review on pathology foundation models and ask the question that matters most to me: not just what these models can do, but what has to be true before they are genuinely useful in real pathology workflows.I walk through how pathology AI moved from narrow, task-specific models into the era of transformer-based foundation models. That shift matters because pathology is no longer only about looking at H&E in isolation. Today, pathologists are expected to integrate morphology, immunohistochemistry, molecular assays, genomics, and clinical context. That growing complexity is one reason foundation models are getting so much attention.In this discussion, I explain how transformers entered pathology, why image patches are treated like tokens, and how shared embeddings can support classification, regression, segmentation, and multimodal retrieval. I also go through the major pathology foundation models mentioned in the paper, including Virchow/Virchow2, Mayo Clinic Atlas, UNI, CONCH, H-Optimus, GigaPath, and TITAN, and why scale alone is not the full story.A big part of this episode is about the gap between benchmark performance and clinical readiness. I talk about the persistent limitations in training data diversity, the overuse of TCGA, and why public benchmarks can still miss what real pathology practice looks like. I also cover where foundation models still struggle, especially in cytopathology, hematopathology, and underrepresented disease areas, along with the real-world problems of artifacts, domain shift, concept drift, infrastructure burden, regulatory complexity, and workflow disruption.For me, one of the most important themes is this: AI in pathology should augment, not replace, pathologists. The future is not about handing diagnosis to a model. It is about building tools that support pathologists better, fit real workflows, and can be validated in ways that deserve trust.I also spend time on what comes next: explainable AI, counterfactual explanations, conversational interfaces, retrieval-augmented systems, multimodal fusion, and the need for deployment-centric validation rather than paper-only excitement.If you are trying to understand where pathology foundation models really stand today, this episode will help you separate the promise from the practical barriers.Episode Highlights00:01 – Why I chose this paper, what is changing at Digital Pathology Place, and why foundation models are worth paying attention to now.02:15 – The core questions: what pathology foundation models are, where they are, and how difficult they are to apply in pathology.04:50 – Why pathology is becoming more cognitively demanding, and how multimodal complexity is driving interest in scalable AI.07:02 – From narrow AI to transformers: how pathology moved beyond single-task CNN models.10:16 – How transformers work in pathology: image patches as tokens, self-attention, embeddings, and downstream tasks.14:16 – Why multimodality matters, and what kinds of data foundation models may eventually integrate.15:27 – Timeline of key model developments, from “Attention Is All You Need” to gigapixel-scale pathology foundation models.17:13 – The leading models and what scale really looks like: Virchow, Mayo Clinic Atlas, UNI, CONCH, H-Optimus, and GigaPath.19:51 – Why dataset diversity matters more than sheer volume, and why TCGA is not enough.23:17 – Where foundation models still struggle: cytopathology, hematopathology, rare disease, artifacts, scanner shifts, and pen marks.28:06 – Explainability, counterfactual explanations, and why trust in pathology AI needs more than attention maps.30:17 – The real deployment hurdles: regulation, infrastructure, workflow fit, and economics.36:32 – Why AI should augment pathologists, not replace them, and which tedious tasks pathologists would gladly hand over.38:36 – Retrieval-augmented and conversational AI in pathology: where interactive systems may actually help.40:51 – Vision-language models and multimodal fusion with histology, radiology, genomics, and clinical notes.42:16 – The path forward: deployment-centric design, prospective multi-site validation, and human-AI collaboration.44:08 – Closing thoughts on AI literacy, community learning, and what needs to happen next.Resources MentionedMain paper discussed:Pathology Foundation Models: Evolution, Current Landscape, Challenges and Opportunities from a Technical and Clinical Perspectivehttps://doi.org/10.3390/bioengineering13050577Review article / journal landing page:https://doi.org/10.3390/bioengineering13050577Benchmarks mentioned:PathoBench — discussed in the review paper; use the review link here for context until you want to swap in a canonical project page:https://doi.org/10.3390/bioengineering13050577PathBench — public benchmark paper:https://arxiv.org/abs/2505.20202MEDFAIR — benchmark paper:https://arxiv.org/abs/2210.01725MEDFAIR code repository:https://github.com/ys-zong/MEDFAIRModels mentioned:Model overview in the review (Virchow/Virchow2, UNI, CONCH, H-Optimus, GigaPath, TITAN, Mayo Clinic Atlas):https://doi.org/10.3390/bioengineering13050577Virchow:https://arxiv.org/abs/2309.07778UNI:https://arxiv.org/abs/2308.15474CONCH:https://arxiv.org/abs/2307.12914Mayo Clinic Atlas:https://arxiv.org/abs/2501.05409TITAN:https://arxiv.org/abs/2411.19666Dataset mentioned:The Cancer Genome Atlas (TCGA)https://portal.gdc.cancer.gov/Book mentioned:Digital Pathology 101: All You Need to Know to Start and Continue Your Digital Pathology Journeyhttps://digitalpathologyplace.com/Platform:Digital Pathology Placehttps://digitalpathologyplace.com/Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailHow far can pathologists take visual biomarker scoring before human vision becomes the bottleneck?In this episode, I talk with Doug Bowman. PhD, VP Precision Medicine at Indica Labs, about what happens when companion diagnostics move from traditional visual scoring into the era of AI-powered image analysis. Doug comes from a biomedical and electrical engineering background, with experience in microscopy, digital image analysis, pharma workflows, and now precision medicine at Indica Labs. That combination makes him a great person to talk to about how image analysis actually fits into real companion diagnostic development.We start with a very practical question: what is a companion diagnostic, and why is it becoming so important in precision medicine? Doug explains that companion diagnostics are developed alongside therapeutics to help identify which patients are most likely to benefit from a specific treatment, especially in more complex therapies like antibody-drug conjugates (ADCs). We use HER2 as an example, and from there we get into the real challenge: once a biomarker cutoff matters clinically, visual estimation around that cutoff becomes much harder than many people want to admit.That is where this conversation gets especially useful for pathologists and digital pathology trailblazers. We talk about the limits of human vision, why low or ultra-low biomarker expression is difficult to score consistently, and how AI helps at multiple levels of the workflow: slide QC, tissue classification, cell segmentation, membrane and cytoplasmic measurement, and spatial analysis. Doug makes the case that AI is not only a convenience here. In some cases, it is the only realistic way to capture the kind of quantitative information modern therapies need.We also get into one of the more interesting examples from the episode: the Trop2 story, where a ratio of cytoplasmic to membrane expression appears to predict therapeutic efficacy better than looking at one compartment alone. That kind of compartment-level quantitation is exactly where computational pathology becomes more than a digital version of what the eye already does. It starts uncovering measurements and signatures the eye cannot reliably extract on its own.Another important part of the discussion is workflow and regulation. Doug walks through how AI-powered companion diagnostics are developed from preclinical work, to human feasibility studies, to RUO or clinical trial assays, and eventually toward analytical and clinical validation with regulatory engagement happening early. We also talk about the Indica Labs and Leica Biosystems partnership, and why end-to-end capability matters when you are trying to build something clinically deployable rather than just analytically interesting.What I liked about this conversation is that it stayed grounded. We did not talk about AI as magic. We talked about image analysis as a method, companion diagnostics as a workflow, and precision medicine as something that only works when the measurement is good enough to support real decisions.Episode Highlights00:00 – Why AI matters in slide QC, tissue classification, and cell-level analysis before you even get to the biomarker score.00:54 – Doug Bowman's background in biomedical engineering, microscopy, and digital image analysis.05:16 – What a companion diagnostic actually is, and why it is critical for targeted therapies and ADCs.07:34 – Why visual biomarker scoring becomes unreliable around critical cutoffs, especially in low-expression cases.10:09 – How AI expands the workflow: slide QC, tissue classification, and precise cell segmentation.13:07 – Why pathologists remain central in AI workflows through validation, markup review, and model refinement.16:31 – The Trop2 example: when cytoplasmic-to-membrane ratio tells you more than one compartment alone.20:23 – The Indica Labs + Leica Biosystems partnership and why end-to-end workflow matters in companion diagnostics.22:53 – What the development journey looks like from early algorithm work to RUO, validation, and regulatory interaction.26:51 – Multiplexing, spatial analysis, and why more clinical value often comes with more deployment complexity.33:29 – Why image analysis literacy matters, and how shared language between pathologists and scientists becomes essential.40:13 – Where to learn more about Indica Labs and who to contact for collaboration.Resources mentionedIndica Labs Indica Labs contact – info@indicalab.comHALO software / HALO AI diagnostic image analysis – discussed in the context of companion diagnostic deployment and pharma services.Leica Biosystems GT450DX – referenced as an FDA-cleared slide scanner in the Indica-Leica partnership.Digital Pathology Association – mentioned as part of the broader educational ecosystem for digital pathology and image analysis.Digital Pathology Place / Digital Pathology Podcast – the platform hosting this conversation and related education around digital pathology and AI.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

freeeは映像・アニメ・CG制作業界向けの新プロジェクト「freee for 制作」を開始。Autodesk「Flow PT」とのAPI連携により、制作管理ツールと勤怠システムの「二重入力」を解消し、現場の工数データを自動的に経営情報として蓄積。クリエイターの負担軽減と、経営側のリアル…

Link to: Why your guardian angel has been waiting for you to do this one thing.https://youtu.be/JEMAuMGCt4c?si=hUbwxdVuxIvwLBYISpiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailGrief is something none of us can avoid, yet many of us feel completely unprepared when it touches our lives or the lives of those we love.In this episode of Living the Reclaimed Life, co-host Robin Blumenthal sits down with Ashley Hughes, founder and executive director of Joy in the Mourning. After experiencing the traumatic loss of her husband at a young age, Ashley found herself navigating a journey she never expected. Through her own grief, God planted a passion in her heart to help others who are walking through loss and to equip friends, families, churches, and communities to better support those who are grieving.Ashley shares her personal story, the lessons she has learned through suffering, and practical ways we can come alongside those experiencing loss with compassion, understanding, and hope. This conversation offers encouragement for anyone who is grieving, as well as valuable insight for those who want to be a better friend, family member, or support person to someone facing one of life's most difficult seasons.Sponsor Spotlight: Joy in the MourningThis episode is sponsored by Joy in the Mourning.Joy in the Mourning exists to support those who are walking through grief by equipping individuals and communities with resources, training, and compassionate support so that no one has to navigate grief alone.Be sure to explore their support app and resources designed to help you become the kind of friend that someone who is grieving truly needs.Stay Connected with Ashley: joyinthemourning.orgInstagram: https://www.instagram.com/joyinthemourningnational/Facebook: https://www.facebook.com/joyinthemourningnationalConnect With UsIf this episode encouraged you, please subscribe, leave a review, and share it with a friend who may need hope today.For more resources, stories, articles, podcast episodes, and community, download the Reclaimed Story app and join us as we learn to live the reclaimed life together.Here are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

Link for NDEhttps://youtu.be/v8EYudRnDqA?si=yg5wosaMxYAApQMISpiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy.If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailCan AI copilots really keep up with pathologists when the cases are new, the workflow is messy, and the benchmark is actually protected from leakage?In this episode of DigiPath Digest #48, I focus on one paper: DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset. I chose this paper because I think the field needs more of this kind of work. Less hype. More evaluation. Less “look what AI can do.” More “how do we test it in a way that actually means something?” In this session, I look at what makes DALPHIN important for pathologists, lab leaders, and digital pathology trailblazers trying to make sense of pathology AI right now. The paper benchmarks three models against human pathologists: two general-purpose models, Gemini 2.5 Pro and GPT-5, and one pathology-specific model, PathChat+. The dataset includes 1,236 images from 300 cases, covering 130 diagnoses, 14 pathology subspecialties, and cases from six countries. Human performance is benchmarked with 31 pathologists from 10 countries. What I like about this paper is that it does not stop at top-line performance. It deals with the benchmarking problem itself. The authors built a sequestered, indirectly accessible ground truth so the evaluation data could not simply be scraped into model training. That matters because without that protection, benchmarking can become an illusion of genius rather than a real test of generalization. The results are interesting and more nuanced than a simple win-or-lose story. PathChat+ reached expert-level performance in four of six tasks, Gemini in two of six, and GPT in one of six. That tells us something important already: pathology-specific training matters. But it also does not mean pathology is solved. In organ recognition, expert pathologists still outperformed all the models. In rare cancers, none of the models reached expert-level performance. And in ambiguous cases, the models still struggled with something human pathologists do all the time: expressing uncertainty. I also spend time on one of the most practical parts of the paper: model behavior. Gemini tended to overcall. GPT tended to undercall. PathChat was more balanced. That matters in practice. A pathologist using a copilot needs to know the tool's calibration bias before they can safely interpret what it is telling them. I also talk about anchoring bias in conversational interfaces, where early hallucinations can propagate through later answers if memory is not reset between questions. That is not just a technical curiosity. That is a workflow and safety issue. Why should you listen? Because this episode is really about a bigger question: What kind of evidence should pathologists demand before AI copilots enter real workflows? If you want to understand validation, data leakage, rare-case performance, uncertainty, and why these tools should still be treated as co-pilots rather than autopilots, this is a useful paper to know. Episode Highlights01:20 – Why I chose the DALPHIN preprint and why benchmarking matters right now. 05:38 – What is in the DALPHIN dataset: 300 cases, 130 diagnoses, 14 subspecialties, 6 countries. 07:57 – Top-line performance: PathChat+ reaches expert-level performance in 4 of 6 tasks. 09:41 – The benchmarking trap of data leakage and why DALPHIN's sequestered ground truth matters. 12:19 – Why real pathology diagnosis is not text-only and why macro + micro context matters. 15:26 – Tissue recognition, neoplasm detection, ambiguity, and conversational memory: how the testing was structured. 21:29 – The diagnostic personalities of the models: overcalling, undercalling, and balanced behavior. 24:36 – Rare cancers: where AI copilots still fall short of expert human performance. 28:00 – Why binary outputs are not enough when pathology often lives in uncertainty. 31:37 – Anchoring bias and conversational memory: how early hallucinations can keep propagating. 37:11 – Why these tools should be treated as co-pilots, not autopilots. 40:29 – Resources for beginners: Digital Pathology 101 and continued AI literacy. Resources mentionedDALPHIN preprint: arXiv:2605.03544v1 DALPHIN evaluation platform: dalphin.grand-challenge.org PathChat+ pathology-specific AI model discussed in the benchmark. Digital Pathology 101 free eBook by Dr. Aleksandra Zuraw. Educational streams on tissue recognition and computer vision literacy mentioned in the session.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Wasatch Front residents can apply starting today for up to $800 toward an e-bike — we break down who qualifies and how to get yours before the 2,000 vouchers run out. Plus, the latest on the Tyler Robinson hearing, why Utah's odd spring could mean a "fruit famine," and Jell-O is getting a healthier makeover (just in time for National Candy Month).   We also dig into Malaysia banning social media for kids under 16, a growing form of bullying called lunch shaming, real estate agents leaving the industry in droves, and how remote work is making it harder for young people to find jobs. Amy Donaldson with KSL Podcasts joins us in-studio to preview her Coach's Book Club interview with new Utah Football head coach Morgan Scalley. And we close out with the AI question of the day and Sacramento's big MLB expansion reveal. How does Sacramento compete with Utah?    Follow KSL Brightside on social media! YouTube: https://www.youtube.com/@KSLBrightside Facebook: https://www.facebook.com/KSLBrightside Instagram: https://www.instagram.com/KSL_Brightside TikTok: https://www.tiktok.com/@ksl.brightside

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailWhat if caring for your health could become an act of worship instead of pressure or perfectionism?In this episode of Living the Reclaimed Life, Denisha sits down with Christian health advocate Nelly Holst for a deeply encouraging conversation about faith, nutrition, healing, and learning to steward the body God has given us.Nelly shares her powerful story of walking through decades of chronic illness, discovering biblical principles for healthy living, homeschooling her three daughters for 17 years while battling health challenges, and ultimately learning how deeply God cares for every part of us, body, soul, and spirit.Together, they discuss:• Nelly's journey to faith and the moment Jesus became real to her• Living with celiac disease before most doctors understood it• What Scripture says about caring for our bodies• Simple practical changes women can make toward better health• Why stewardship matters more than perfection• The connection between physical health, emotional health, and spiritual health• Non-invasive light therapy and holistic wellness• Encouragement for exhausted women who have spent years caring for everyone elseThis conversation is filled with wisdom, grace, hope, and practical encouragement for women who want to live healthier lives while staying rooted in Christ.If this episode encouraged you, be sure to subscribe, leave a review, and share it with a friend who needs hope today.Stay connected with Nelly Holst: Email: healthycoachingtoday@gmail.comhttps://linktr.ee/healthylivinghappenstodayFacebookInstagramLinkedInHere are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

Graduating on an F1 visa and thinking about starting your own business in the U.S.? The E2 investor visa might be your best path forward and if you're currently on OPT, you may be able to use that time to test and launch your business before you ever file. In this video, immigration attorney John Khosravi breaks down everything F1 students need to know about the E2 visa: who qualifies (and which countries are excluded), how much you need to invest, what your business plan must include, and how to document your source of funds correctly from day one.

Heath McWilliams

If you are the adult child of a U.S. citizen or green card holder, getting married or divorced at the wrong time could seriously affect your immigration case. In this video, we break down a real immigration story of a green card holder who almost lost their path to U.S. citizenship because of a complicated family-based immigration history involving the F2B, F1, and F3 visa categories. Learn how marriage, divorce, a parent's naturalization, and timing can impact your green card process, citizenship eligibility, and even put your status at risk. If you are waiting for a family-based green card, this is important information you should know.

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailDo you really need a scanner, whole slide images, and AI infrastructure before you can start in digital pathology?In this episode, I argue that you do not.I'm Dr. Aleksandra Zuraw, veterinary pathologist and digital pathology educator, and this talk is about a belief I hear all the time: I don't have the tools yet, so there is no point learning digital pathology. I used to think that too. When I was training in Berlin, there was one Leica 6-slide scanner, and it felt like digital pathology was only for a small group of chosen people. That experience made the field feel distant, exclusive, and not really available to beginners. What changed for me was not a new scanner. It was a small project.I needed a more consistent way to quantify a senescence marker in archived skin samples, so I used a microscope camera, captured images, opened them in Microsoft Paint, and manually marked cells with colored dots. It was scrappy. Very low tech. But it was also digital, consistent, and verifiable. That project became my first real step into digital pathology and helped me get my first job in the field, where I worked between pathologists and image analysis scientists on biomarker quantification and patient stratification problems. That is the core point of this episode: knowledge unlocks technology.Scanners matter. AI tools matter. But the deeper bottleneck is whether enough people understand how to use these tools, ask good questions, and connect pathology expertise with digital workflows. That is why this episode is really about readiness. Not readiness of the hardware. Readiness of the people.I also talk about Dr. Taladzer from Pakistan, whose story makes this point even more clearly. At the time, Pakistan had around 220 million people, about 500 pathologists, and zero scanners. She still started learning digital pathology during COVID using a microscope and camera, joined the Digital Pathology Association, taught herself from papers and online resources, and kept going even after multiple AI vendors rejected her because she did not have whole slide images. Eventually, she found a DIY image analysis platform, learned to annotate and train models on static images, completed projects quickly, and went on to publish more than 10 digital pathology papers without ever using WSI.Why should you listen?Because this episode is for pathologists and lab leaders who are interested in digital pathology but still feel stuck at the beginning. It is for people waiting for permission, perfect infrastructure, or a formal roadmap. And it is for trailblazers who came back from a meeting or conference energized, but need a practical way to turn that energy into action before it fades.I also address an important AI question near the end: How do we know an AI model is good enough for pathology? I talk about why models are only as good as the pathologist annotations used to train them, why concordance between pathologists matters, how orthogonal labels like IHC can improve model quality, and why pathologists still need to stay in the loop as these systems develop and get deployed.If you are trying to figure out where to start, this episode gives you a practical answer: start where you are. Start with what you have. Start learning now.Episode Highlights00:00 – Why the real barrier to digital pathology is usually not the hardware 00:33 – What it feels like to be at the beginning of the digital pathology journey 02:50 – My first practical digital pathology project using a microscope camera and Microsoft Paint 05:37 – How that low-tech project led to my first digital pathology job 08:52 – Why knowledge, not infrastructure, is the real unlock 09:57 – Dr. Taladzer's story: starting digital pathology in Pakistan with zero scanners 12:03 – What happened after repeated vendor rejection and why persistence mattered 14:39 – The “forgetting loop” vs the “commitment loop” after conferences 16:48 – Practical next steps: book, PubMed alerts, journal clubs, webinars, vendor resources 18:52 – Why I believe digital pathology is the gateway to faster diagnosis 20:00 – How to think about whether an AI model is really ready for pathologyResources MentionedDigital Pathology 101 – free book recommended as a starting point for learning digital pathology. Digital Pathology Association – mentioned as a learning resource and professional community. PubMed alerts for AI and digital pathology. Journal clubs – mentioned as one way to keep learning consistently. Webinars and vendor resources – suggested as practical ways to keep building knowledge. A4A – the DIY image analysis platform that supported Dr. Taladzer's early work with static image annotation and model training. Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailWhy are pathology vendors still speaking different image languages when radiology solved that problem decades ago?In this episode of DigiPath Digest #46, I talk through four papers that all point to a bigger issue in digital pathology: we are not only dealing with better algorithms. We are dealing with interoperability, workflow design, explainability, and whether the field is actually ready to use these tools well.I start with DICOM in digital pathology, because I think this is still one of the most important infrastructure questions in the field. Digital pathology has clear value for consultation, image analysis, archival, and workflow, but vendor-specific whole slide image formats still create silos. In the episode, I explain why DICOM matters, why adoption is still low, how the multi-resolution pyramid works, and why this is really about enterprise imaging and future-proofing, not just file conversion. Then I move into kidney transplant rejection, where the paper makes a strong case for multimodal precision diagnostics. Creatinine is late. Antibody testing can miss important biology. Biopsies can miss the area that matters. So the opportunity is not to replace pathology, but to combine biomarkers, biopsy, and machine learning in a way that is more useful than any one signal alone. I also talk about explainability here, because if a model gives a risk score, we need to know what contributed to it. The third paper focuses on perineural invasion in solid tumors, and I liked this one a lot because it shows how AI can help standardize something that is clinically important but still inconsistently detected and reported. Perineural invasion is not just a passive pathway of spread. The biology is more active than that, and the quantification can go far beyond a simple yes-or-no answer. This is a good example of where digital pathology can do something humans cannot realistically do by eye at scale. The last paper is on gastric cancer immunohistochemistry biomarkers and advanced quantification, including HER2, PD-L1, mismatch repair, and CLDN18.2. This section is really about complexity. We are now asking pathologists to visually score biology that is getting harder and harder to summarize consistently, especially when markers, spatial context, and multiplexing all start to matter at once. I make the case that computational pathology is becoming necessary here, not because pathologists are failing, but because the biology is outgrowing purely visual workflows. What ties these four papers together is simple: digital pathology is not only about remote reading anymore. It is about interoperability, quantification, explainable AI, and making pathology more precise in places where the old workflow is reaching its limit. If you are a pathologist, lab leader, or digital pathology trailblazer trying to figure out what actually matters right now, this episode will help you connect the dots.Episode Highlights 07:41 – Why DICOM still matters if we want digital pathology systems to work together. 14:39 – Current adoption of SVS, MRXS, and DICOM, and why DICOM is still lagging. 16:44 – How the DICOM whole slide image pyramid works and why it matters for workflow. 24:29 – Why kidney transplant rejection is still difficult to diagnose with any single marker. 29:18 – Why perineural invasion is clinically important and still inconsistently reported. 34:44 – How AI can quantify tumor-nerve relationships more consistently than visual review alone. 46:39 – Why gastric cancer biomarker scoring is getting too complex for purely visual workflows. 54:55 – Multiplexing, spatial biology, and why explainable AI matters in biomarker interpretation. 01:04:01 – What is really blocking digital pathology adoption: cost, workflow, regulation, or mindset? Resources mentionedDICOM / digital pathology interoperability paper https://pubmed.ncbi.nlm.nih.gov/42093730/Kidney transplant rejection, biomarkers, and artificial intelligence https://pubmed.ncbi.nlm.nih.gov/42073482/Perineural invasion in solid tumors with AI and machine learning applications https://pubmed.ncbi.nlm.nih.gov/42100436/Gastric cancer IHC biomarkers, advanced detection methods, and perspectives https://pubmed.ncbi.nlm.nih.gov/42075555/Digital Pathology Place https://digitalpathologyplace.comDigital Pathology 101 Free PDF book mentioned at the end of the episode through Digital Pathology Place.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailWhat if the most frightening part of a pathology report is not the word cancer, but the silence that follows?In this episode of the Digital Pathology Podcast, Dr. Aleksandra Zuraw talks with Michele Mitchell—breast cancer survivor, caregiver, national patient advocate, and longtime volunteer across Michigan Medicine, ASCP, the Digital Pathology Association, and MyPathologyReport.ca—about what happened when she saw her own cancer slide years after treatment. That moment changed how she understood her disease, her risk, and her role as a patient advocate.This is not just a patient story. It is a digital pathology implementation story.The episode looks at how digital pathology removes practical barriers to sharing slides, why pathology clinics matter, and what becomes possible when pathologists move from being hidden in the background to becoming direct contributors to patient understanding. Michelle and Dr. Aleks talk through the communication gap around pathology reports, the emotional cost of delayed explanation, and the real-world workflow of pathology clinic visits built to help patients review their slides with the pathologist who made the diagnosis.They also discuss what the 21st Century Cures Act changed for patients, why immediate access to reports without interpretation can still create fear, and how pathology clinics can bridge the gap between raw data and real understanding. The conversation gets practical too: how patients can request a pathology clinic visit, what virtual pathology consults can look like, how billing and workflow concerns are already being addressed, and why the infrastructure question is smaller than many people assume.If you work in digital pathology, pathology informatics, patient communication, or implementation, this episode is a reminder that visibility is not extra. It is part of the value proposition. And for pathologists who worry this is too far outside the traditional role, the episode offers a grounded counterpoint: the workflows, templates, billing structures, and virtual options already exist.Highlights00:00 – Why pathology needs to become more patient-centered Michele frames the core problem clearly: what often scares patients is not only cancer, but the silence around the diagnosis. 00:34 – How digital pathology changes the patient experience Digital slides make it possible for patients to see their diagnosis, compare normal and abnormal tissue, and ask better questions. 11:13 – What happened when Michele saw her cancer for the first time More than a decade after treatment, seeing her own slide changed how she understood her grade, her risk, and her daily health decisions. 16:19 – Why visual pathology can change adherence and lifestyle Michele explains how the image-based explanation became a practical turning point, not just an emotional one. 20:43 – The case for direct pathologist-patient communication The episode reviews why this can improve clarity, treatment understanding, clinic efficiency, and even professional satisfaction for pathologists. 38:40 – What a pathology clinic actually looks like From preparation and consent to slide review, plain language, empathy, and follow-up, the workflow is much more concrete than many people assume. 45:35 – ASCP's certification workshop for pathology clinics Michele describes the national effort to make pathology clinics reproducible, scalable, and easier to implement. 49:32 – What the 21st Century Cures Act changed Patients now get near real-time access to reports, but that access still needs interpretation, context, and support. 01:03:23 – Pushback, logistics, and why the barriers are not where people think Time, reimbursement, scheduling, and virtual setup are addressed directly with examples already in practice. 01:16:57 – The future: patient-friendly reports, AI, and pathology as part of the care team The episode closes on a practical vision: not hype, but tools and workflows that already exist and can be connected now. Resources mentionedDigital Pathology Place – website and educational platform referenced by Dr. Aleks as the home for her work and resources. Digital Pathology 101 – Dr. Aleks's book, referenced in the broader discussion of patient and pathologist education. Michigan Medicine breast pathology clinic – launched in 2023 as a patient-facing breast pathology clinic model. ASCP pathology clinic certification workshop – national workshop co-developed to help institutions build pathology clinics. 21st Century Cures Act – legal framework behind near real-time patient access to pathology reports and related health data. MyPathologyReport.ca – patient-friendly pathology education resource reviewed with patient advocate involvement. American Cancer Society Reach to Recovery – support resource mentioned for breast cancer patients. Scanslated – patient-friendly report interface discussed as part of a future-facing model for pathology communication. Virtual pathology consults/telehealth setup – discussed as a scalable way to lower implementation friction.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

If you have a pending I-485 employment-based green card case, traveling outside the U.S. can carry serious risks if not handled correctly. In this video, immigration attorney John Khosravi from JQK Immigration Law Firm explains what H-1B, H-4, L-1, and L-2 visa holders must understand before leaving the country, how Advance Parole (Form I-131) works, and why timing and strategy are critical to avoid abandoning your green card case or losing your visa status. You'll also learn about expedite options, emergency travel requests, and how employment-based families can protect their case while planning necessary travel.

Spiritual Warfare I'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailDigiPath Digest #45 asks a practical question: can AI in pathology move from correlation to real clinical use? In this episode, I review four papers that push on that question from different angles: computational pathology moving toward morphology-driven molecular inference, the current state of digital cytopathology and AI, multi-omics and precision oncology in hepatocellular carcinoma, and AI literacy in veterinary education. What ties them together is not model performance alone. It is the harder question of validation, workflow fit, quantitative use, ethics, and human oversight.In the first paper, I talk about computational pathology as more than pattern recognition. The focus is on morphology-driven molecular inference, digital biomarkers, and why spatial omics matters as biological ground truth. I also discuss why continuous quantitative scoring is more useful than forcing biology into rough scoring buckets. The second paper focuses on digital cytopathology. Cytology was early for FDA-cleared AI in cervical screening, but non-gynecologic cytology is still much harder to digitize because of specimen variability and workflow complexity. I also cover telecytology, rapid onsite evaluation, automation, and quality control. The third paper looks at hepatocellular carcinoma and AI-driven precision oncology. This part is about using AI and machine learning to integrate genomics, transcriptomics, proteomics, metabolomics, radiomics, and pathology to support biomarker discovery, tumor microenvironment analysis, and treatment stratification. The fourth paper may be the most broadly useful. It proposes an AI literacy curriculum for veterinary education that covers AI fundamentals, machine learning evaluation, LLMs, ethics, liability, and academic integrity. I think that matters far beyond veterinary medicine, because if clinicians are expected to use AI tools responsibly, AI literacy cannot stay optional. Highlights 00:01 Welcome and overview of the four papers 03:02 Computational pathology and morphology-driven molecular inference 11:01 Digital cytopathology, telecytology, and QC 20:47 AI/ML in hepatocellular carcinoma precision oncology 31:04 AI literacy in veterinary education 47:42 Final takeaways and Digital Pathology 101 update ResourcesComputational Pathology as a Mechanistic Discipline: From Morphology to Molecular Data https://pubmed.ncbi.nlm.nih.gov/42052846/Advances in Digital Cytopathology and Artificial Intelligence Applications https://pubmed.ncbi.nlm.nih.gov/42046894/Navigating the Labyrinth of Hepatocellular Carcinoma: Leveraging AI/ML for Precision Oncology https://pubmed.ncbi.nlm.nih.gov/42065059/Curriculum Framework for Artificial Intelligence Literacy in Veterinary Education Front Vet Sci. 2026;13:1801756 Support the showGet the "Digital Pathology 101" FREE E-book and join us!

If you have an approved I-140 and are pursuing your employment-based green card (EB-1, EB-2, or EB-3) through consular processing at a U.S. embassy, there are critical steps and pitfalls you need to know before moving forward. Immigration Attorney John Khosravi of JQK Law breaks down the National Visa Center process, why the Affidavit of Support is NOT required for most employment-based cases, how to properly complete the DS-260, why mailing documents is still required as of April 2026, how to protect aging-out children under CSPA, and what to expect after your embassy interview including administrative processing, the DS-5535, and current travel ban risks. Prepare smarter and avoid costly delays. 

If you entered the U.S. on a J-1 visa and are now married to a U.S. citizen, this video breaks down the biggest obstacle you may face the 2-year home residency requirement and how it affects your green card process. Immigration attorney John Khosravi explains your two main options (adjustment of status vs. consular processing), the risks of falling out of status, current 2026 updates on J-1 waivers, and how travel bans and delays can impact your case. This is a must-watch if you're unsure whether you can stay in the U.S. or need to leave to continue your application. For a deeper step-by-step guide, visit marriageimmigrationlaw.com or schedule a consultation to review your specific situation.

Military spouse citizenship can be faster than you think. In this video, immigration attorney John Khosravi explains how green card holders married to active-duty service members may qualify for expedited U.S. citizenship, potentially skipping the usual 3- or 5-year wait. Learn the key rules, timelines, and requirements for military spouse naturalization, including what to do before deployment overseas, how to handle long absences from the U.S., and when to apply for forms like N-400 or re-entry permits. If you're a military spouse planning to leave the country, this guide will help you avoid delays and take advantage of special USCIS exceptions.

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailWhy run from love? The love of God is so powerful that He meets us in our most painful places. Jasmine Esquivel is a pastor, teacher, and healing minister based in Tucson, Arizona, where she serves at Iglesia Centro de Sanidad. Having experienced both deep disappointment and profound restoration, she carries a passion to help people encounter the love of the Father. Jasmine shares her personal story that is real, raw and deeply vulnerable. In this conversation, you'll hear struggle, tears, surrender and the healing love of God, meeting someone in the middle of deep pain. As you listen, you may hear parts of your own story reflected in hers. Please note this episode is not intended for children, as we do discuss real-life topics, including pregnancy complications and abuse within the church. Stay connected with Jasmine: WebsiteInstagramFacebookFor more informationWe want to thank the sponsors for today's episode, Joy in the Mourning. Joy in the morning exists to support those who are walking through grief by equipping individuals and communities with resources, training, and compassionate support so that no one has to navigate grief alone. Be sure to check out their incredible support app, designed to help you become the kind of friend that someone who is grieving is truly in need of.  You can connect with them at https://www.joyinthemourning.org/Here are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

Send us Fan MailWhere is AI in pathology actually becoming useful right now? In this episode of DigiPath Digest, I review 4 new PubMed papers across digital pathology, whole slide imaging (WSI), computational pathology, medical education, forensic pathology, and breast cancer AI. We look at a deep learning tool for coronary artery stenosis measurement in forensic autopsies, an AI-powered digital pathology model for renal pathology education, an open-source quality control tool for prostate biopsy whole slide images, and a breast cancer stage prediction model built for resource-constrained settings using low-magnification H&E slides. I also share updates on the upcoming second edition of Digital Pathology 101 and the decision to make AI paper summaries public on the podcast feed to help busy pathology professionals stay current. Highlights  [01:28] Update on the upcoming second edition of Digital Pathology 101 and the release of public AI paper summaries for faster literature review. [05:22] Paper 1: Deep learning for coronary artery stenosis evaluation in forensic autopsies using whole slide imaging. Why objective stenosis measurement matters, how the model outperformed visual estimates, and why this could affect adoption in forensic pathology. [15:18] Paper 2: AI-powered digital pathology with case-based teaching in renal education. A practical discussion on annotated digital slides, flipped classroom learning, and how digital pathology can improve pathology education and diagnostic reasoning. [21:34] Paper 3: Open-source AI for quantitative quality control in prostate biopsy whole slide images. Why WSI quality control matters, what PathProfiler measures, and how automated QC can support remote pathology workflows. [32:38] Paper 4: Breast cancer stage prediction from H&E whole slide images in resource-constrained settings. A look at low-magnification AI, vision transformers, and what moderate performance can still mean when access to advanced testing is limited. [45:06] Closing thoughts, invitation to vote for future AI paper summaries, and a final reminder to download Digital Pathology 101. Resources Paper 1: Development of a deep learning-based tool for coronary artery stenosis evaluation in forensic autopsies using whole slide imaging PubMed: https://pubmed.ncbi.nlm.nih.gov/41998396/Paper 2: Integrating AI-Powered Digital Pathology With Case-Based Teaching: A Novel Paradigm for Renal Education in Medical School PubMed: https://pubmed.ncbi.nlm.nih.gov/41995002/Paper 3: Application of an open-source AI tool for quantitative quality control in whole slide images of prostate needle core biopsies - a retrospective study PubMed: https://pubmed.ncbi.nlm.nih.gov/41994924/Paper 4: Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settings PubMed: https://pubmed.ncbi.nlm.nih.gov/41993946/Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailPaper Discussed in this Episode:Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settings. Bedőházi Z, Biricz A, Kilim O, et al. Journal of Pathology Informatics 21 (2026) 100644.Episode Summary:Welcome back, Trailblazers! In this Journal Club deep dive of the Digital Pathology Podcast, we flip the core assumption of microscopic precision on its head. Can an AI accurately predict pathological breast cancer stages (pTNM I-III) from a blurry, high-altitude 2.5x magnification snapshot? We explore a 2026 study that strips away standard high-resolution data to build a highly efficient, resource-aware AI diagnostic tool for clinics lacking supercomputers. We unpack the math, the models, and a haunting revelation about what primary tumors can tell us about distant metastasis.In This Episode, We Cover:• The Compute Bottleneck: Why the digital pathology AI revolution is leaving resource-constrained clinics behind, and how dropping from the standard 40x to 2.5x magnification slashes image patch extraction by 256 times, bypassing massive hardware and server requirements.• The "Airplane View": How the AI compensates for the loss of microscopic cellular details (like mitosis or cellular atypia) by relying on macroscopic features, identifying disease through overall tumor growth patterns and broad architectural disruption.• Vision Transformers & "Puzzle Bags": Why the UNI foundation model—a vision transformer fine-tuned on the BRACS dataset—outperforms older convolutional networks (like ResNet-50) by mapping long-range spatial dependencies across the entire image patch simultaneously. Plus, how Multiple Instance Learning (MIL) acts as a targeted "puzzle bag," mathematically weighting critical cancer data and ignoring irrelevant background noise.• The Real-World Stress Test: The model's solid performance on the internal Semmelweis dataset versus the massive external Nightingale cohort, where unsupervised data cleaning with t-SNE and DBSCAN clustering automatically deleted garbage data. We also discuss the AI's struggle with the TCGA-BRCA dataset due to severe domain shift from heterogeneous tissue preparation, specifically the structural tissue damage caused by frozen sections.• The "Messy Middle" and Clinical Triage: The model's tendency to struggle with Stage II breast cancer and the critical clinical danger of under-staging advanced Stage III cancers. We discuss why this WSI-only baseline isn't replacing human pathologists, but rather serves as an automated "sorting hat" for incomplete medical records or a highly tunable "smoke detector" to route suspicious slides for immediate manual review.Key Takeaway:The AI successfully predicted overall cancer stage—which inherently includes distant lymph node metastasis—by looking only at the primary tumor's architectural disruption, without ever evaluating a single lymph node slide. This proves that vital systemic biological secrets are hiding in plain sight in the macroscopic view of standard H&E slides, offering a phenomenal proof-of-concept for global health equity in resource-constrained settingsSupport the showGet the "Digital Pathology 101" FREE E-book and join us!

Spiritual WarfareI'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17 

Send us Fan MailPaper Discussed in this Episode:Integrating AI-Powered Digital Pathology With Case-Based Teaching: A Novel Paradigm for Renal Education in Medical School. Zhou H, Cui L. Clin Teach 2026; 23(3):e70421. doi: 10.1111/tct.70421.Episode Summary: In this journal club episode tailored for healthcare trailblazers, we explore a massive paradigm shift in medical education. We examine a 2026 perspective article that uses the notoriously complex field of renal pathology as a stress test for a brand-new teaching model. Moving away from dark lecture halls and static, perfect images, we discuss what happens when artificial intelligence is actively combined with flipped classrooms, fundamentally redefining what it means to be a competent physician in the digital age.In This Episode, We Cover:• The "Bottleneck" of Renal Pathology: Why the kidney is the ultimate teaching hurdle. Students must translate the dense, flattened 2D reality of an H&E stain into an understanding of a patient's complex systemic autoimmune response.• The Danger of the "Curated Reality": Why traditional teaching methods that rely on textbook-perfect, heavily curated slides create "brittle" mental models. When students finally encounter messy, real-world biopsies with overlapping, ambiguous pathologies, the traditional educational foundation falls apart.• The "Spell Checker" for Histopathology: How collaborative AI elevates Whole Slide Imaging (WSI) beyond just high-resolution screens. The AI acts as a concurrent guide, using pixel-level pattern recognition to highlight regions of interest simultaneously and simulate the complex reasoning process of an expert pathologist.• The Case-Based Flipped Classroom (CBFC): The pedagogical engine that anchors these AI tools in clinical reality. Instead of passive lectures, students are handed the "detective's case file" beforehand to actively interrogate annotated slides, synthesizing diverse data streams to defend diagnoses in collaborative groups.• Redefining Medical Competence (The "Clinical Editor"): Why the new bottleneck in medical education isn't memorization—it's critical appraisal. We discuss the necessity of teaching "digital literacy," training students to skeptically manage AI, recognize its blind spots (like confusing a physical tissue fold for an abnormality), and actively audit the algorithm against the messy human reality of the patient.• The Impending Culture Collision: A look at the fascinating future where freshly minted, AI-native residents enter a legacy clinical workforce still transitioning away from physical glass slides, potentially reversing traditional medical hierarchies in the hospital.Key Takeaway: The goal of modern medical education is no longer just memorizing histological patterns, as that heavy lifting is being outsourced to algorithms. By fusing AI-powered digital pathology with the necessary friction of case-based learning, we are training a new generation of diagnosticians to view AI not as a crutch, but as a powerful collaborative tool that must be thoughtfully scrutinized and audited for safe patient careSupport the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailPaper Discussed in this Episode:Spatial omics and AI for clinically actionable cancer biomarkers. Reitsam NG. PLoS Med 2026; 23(4): e1005049.Episode Summary: In this deep dive, we explore how artificial intelligence and spatial omics are fundamentally rewriting the rules of cancer diagnostics. We break down a 2026 editorial that challenges a deceptively simple question driving modern oncology: Is a tumor "positive" or "negative" for a biomarker? As targeted cancer therapies evolve, this binary thinking is failing us. We discuss why mapping where and how much of a therapeutic target exists is crucial, and how AI is stepping in to solve the reproducibility issues human pathologists face when making borderline diagnostic calls.In This Episode, We Cover:• The Illusion of "Positive" vs. "Negative": Why the basic premise of modern cancer therapies—like antibody-drug conjugates (ADCs)—often falls apart in reality when we ignore the spatial heterogeneity of a tumor.• The Power of Computational Pathology: How AI is transforming subjective, qualitative estimates into continuous, reproducible data, scaling the quantification of complex biomarkers like PD-L1 and TROP2.• "Virtual" Proteomics: The fascinating concept of using AI models to infer high-dimensional spatial information and immune maps directly from standard, routine H&E stained slides.• The HER2 Bottleneck: A real-world look at the breast cancer drug T-DXd, which now demands pathologists distinguish between "HER2-low" and "HER2-ultralow". While human agreement drops below 70% at these fuzzy decision boundaries, AI steps up with a staggering ~97% sensitivity.• Three Shifts for the Future: Why clinical trials and routines must adopt continuous measures (like percentage of expressing cells), demand longitudinal repeat testing at disease progression, and utilize adaptive trial platforms.• Bridging the Gap to Reality: The massive hurdles preventing widespread adoption—such as equipment costs exceeding $250,000 and massive data storage needs. We discuss why a hybrid workflow that bolsters routine pathology with deployable AI is the best path forward to prevent widening global health disparities.Key Takeaway: The future of precision oncology isn't just about finding new drug targets; it's about fundamentally changing how we measure them. By moving away from rigid binary thresholds and using AI to map the continuous, spatial reality of tumors, we can unlock the true potential of targeted therapies. However, achieving this diagnostic ecosystem requires overcoming significant financial and systemic hurdles—such as updating reimbursement pathways and proficiency testing—to ensure these life-saving insights are accessible across all healthcare settings.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailPaper Discussed in this Episode: Artificial intelligence in clinical oncology: Multimodal integration and translational development. Ruichong Lin, Zhenhui Zhao, Zhonghai Liu, Jin Kang, Kang Zhang, Xiaoying Huang, Yunfang Yu. Cancer Letters 2026; Volume 649, 218493.Episode Summary: In this journal club deep dive, we explore how cutting-edge AI is fundamentally rewriting the rules of cancer diagnostics. We examine a comprehensive 2026 review on clinical oncology that highlights the shift from narrow, single-modality algorithms to highly sophisticated multimodal AI. We discuss how machines are learning to cross-reference patient charts, genomic data, and medical imaging simultaneously to achieve unprecedented feats—like accurately predicting tumor mutations without ever performing a physical biopsy. Plus, we explore the controversial but necessary world of "computational hallucinations" or synthetic data, which is currently being used to solve diagnostic blind spots.In This Episode, We Cover:• The Fragmentation Bottleneck: Why keeping radiology, pathology, genomics, and clinical history in isolated silos limits our ability to treat the whole patient, and why single-modality AI suffers from severe diagnostic "tunnel vision".• Cross-Modal Attention & Non-Invasive Biopsies: How models like LUCID essentially mimic the deductive reasoning of a multidisciplinary tumor board. By utilizing cross-modal attention mechanisms, LUCID dynamically shifts focus between CT scans, routine labs, and text-based clinical charts to predict EGFR gene mutations in lung cancer entirely non-invasively.• Graph Neural Networks (GNNs) & Tumor Social Networks: A look at the NePSTA framework, which uses GNNs and spatial transcriptomics to treat the tumor microenvironment like a mathematical topology. By mapping the "social network" of cells, it can rapidly molecularly subtype notoriously ambiguous central nervous system (CNS) tumors in minutes.• Computational Hallucinations: Introducing MINIM, a generative AI foundation model that creates statistically valid, photorealistic synthetic medical images (like optical CT or chest X-rays) for rare diseases based on textual descriptions. We discuss how intentionally generating these synthesized images solves the critical "data scarcity" problem and directly improves real-world diagnostic accuracy.• The Reality Check - Distribution Shifts: The dangerous logistical reason why an AI model boasting near-perfect accuracy at a massive urban academic center might fail completely in a rural clinic due to differing scanner calibrations and population demographics. We emphasize why the field must transition away from retrospective "vanity metrics" and toward clinically trustworthy prospective validation.• The Virtual Cell Paradigm: A staggering look into the near future where AI constructs completely accurate, computationally interactive digital twins of a patient's cancer. This framework allows doctors to test different drug regimens and simulate cellular responses mathematically in silico before ever administering medicine to the actual patient.Key Takeaway: Multimodal AI proves that cancer diagnostics must go beyond isolated data points. By dynamically synthesizing highly fragmented clinical information and utilizing synthetic imaging to overcome rare disease data scarcity, AI is pushing oncology into an era of robust, individualized molecular phenotyping. Ultimately, these innovations are replacing risky, invasive testing with precSupport the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailPaper Discussed in this Episode: Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics. Maryam Alwahaibi and Nasar Alwahaibi. Front. Med. 2026; 13:1772478.Episode Summary: In this journal club deep dive, we explore a paradigm shift in hematopathology, moving from 19th-century visual assessments to the cutting edge of precision medicine. We examine a 2026 review that unpacks how combining artificial intelligence with multi-omics technologies is transforming the traditional bone marrow biopsy from a static, subjective snapshot into a live, interactive, predictive 3D map. We ask: What happens when deep learning can predict underlying genetic mutations just by analyzing the visual shape and texture of a cell?.In This Episode, We Cover:The Breaking Point of Traditional Diagnostics: Why the 150-year-old gold standard of H&E staining and human visual assessment is hitting a biological and operational wall, plagued by subjectivity, high variability, and observer fatigue.The Multi-Omics Multiverse: Moving beyond standard genomics to unpack the complex biological machinery of the marrow, including:Epigenomics: The biological "switches," like DNA methylation, that control cell fate and can kick off malignant transformation without altering the underlying DNA sequence.Lipidomics: How cellular fats form specialized signaling rafts that actively remodel the marrow's communication network.Microbiomics (The Gut-Marrow Axis): How systemic inflammation driven by gut dysbiosis acts like a massive "traffic jam" that indirectly disrupts local bone marrow homeostasis and blood cell production.AI as the Ultimate Analytical Partner: How artificial intelligence serves as a bridge between physical tissue morphology and high-dimensional molecular data. We discuss AI tools like MarrowQuant for objective cellularity mapping and the Continuous Index of Fibrosis (CIF) that replaces clunky human guesswork with a granular, predictive metric.Predicting Genotype from Phenotype: The revolutionary capability of deep learning models to predict underlying genetic mutations (like TET2 or del 5q MDS) purely from the subvisual, spatial arrangement and shape of cells on a standard slide.Roadblocks and Solutions: Why this technology isn't universally adopted yet. We break down the "black box" problem of AI, the brittleness of algorithms in different clinical settings, and how innovations like Federated Learning and Explainable AI (using heat maps) are overcoming these hurdles.Key Takeaway: The integration of AI and multi-omics is redefining our understanding of bone marrow diseases. By uncovering invisible molecular machinery and objectively translating it through transparent algorithms, we are moving away from subjective human bottlenecks toward a highly personalized, predictive model of hematologic care.Support the showGet the "Digital Pathology 101" FREE E-book and join us!

Spiritual Warfare I'm giving away FREE E-copies of my book. Email me your email address at spiritualwar17@gmail.com for your FREE E-copy. If you have questions or would like us to speak about a certain topic email bradshaw_jc@icloud.comWe will try to answer them as quickly as possible on the podcast.  If you would like to support this Podcast monthly or make a one-time gift you can click the PayPal link below. https://paypal.me/spiritualwar17

Send us Fan MailIn our last episode, we celebrated five years of conversations around healing, faith, and what it means to reclaim your story, and today we're beginning to step into more conversations that really matter.This episode is all about understanding trauma through a lens of compassion, because when we begin to see what's really going on beneath the surface, it changes the way we see ourselves, others, and even God.Before we dive in, I want to thank our sponsor for today's episode, Tim and Andrea Looney from The Looney Advantage at Realty Executives. They've been serving families across the Tucson area for over 24 years, helping people buy and sell homes with care and integrity. Tucson friends, you can find them by searching The Looney Advantage on Facebook.Here are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

Send us Fan MailI did something I've never done before for this episode — I went live from the middle of a national park. This is DigiPath Digest #42, broadcasting from the Great Sand Dunes National Park in Colorado via Starlink from my family road trip. Yes, it actually worked. And so did the papers.This episode covers four papers that all ask the same uncomfortable question from different angles: how close is AI to being genuinely useful in real pathology practice — and what's still standing in the way? From LLMs interpreting cervical Pap smears, to AI guiding breast cancer treatment decisions from a simple H&E slide, to a practical roadmap for bringing generative AI into oncology workflows — this one covers a lot of ground.I also introduced something new: my AI-powered paper summary podcast subscription. For $7 a month, AI hosts summarize digital pathology literature in a journal-club style so you can stay current without spending hours reading abstracts. I walk through how it works and why I built it.What we cover:[00:00] Going live from the wilderness — Starlink, sand dunes, and a very cold morning[02:01] How I use AI-generated audio summaries to prep for each DigiPath Digest[03:19] Paper 1: Can LLMs like ChatGPT and Gemini interpret cervical cytology? Spoiler: ~47–48% exact concordance — promising, but not there yet[10:23] Bonus: My new AI-powered paper summary subscription — $7/month, journal-club style[14:05] Paper 2: AI in oral oncology — CNNs for early lesion detection, multimodal prognostics, and the real barriers still blocking clinical adoption[20:28] Paper 3: Generative AI in oncology — from chat tools to agentic EHR-integrated assistants, and why augmentation is the goal, not automation[25:35] Paper 4: Computational pathology in breast cancer — predicting BRCA1/2, HER2, Oncotype DX, and treatment response from standard H&E slides[31:39] Final thought: the floor just got raised for all of us — how I think about new technology in pathologyResources & Links:Paper 1 – LLMs & Cervical Cytology (PubMed): https://pubmed.ncbi.nlm.nih.gov/41931983/Paper 2 – AI in Oral Oncology (PubMed): https://pubmed.ncbi.nlm.nih.gov/41930554/Paper 3 – Generative AI in Oncology Practice (PubMed): https://pubmed.ncbi.nlm.nih.gov/41930309/Paper 4 – AI & Digital Pathology in Breast Cancer (PubMed): https://pubmed.ncbi.nlm.nih.gov/41930306/Watch on YouTube: https://www.youtube.com/live/O2hOU4gM0Bk?si=oH8iJ8HiBb29USG3Digital Pathology Place: https://www.digitalpathologyplace.comSupport the showGet the "Digital Pathology 101" FREE E-book and join us!

Send us Fan MailWhat if the way you respond to life makes more sense than you think?In this special episode, Denisha is joined by Deborah and Robin as they celebrate five years of the Living the Reclaimed Life podcast and step into a new season of conversations together.Through personal stories, laughter, and meaningful moments, you will get to know Deborah and Robin while also beginning to explore how understanding trauma can bring clarity to our stories and compassion to the way we relate to ourselves and others.This episode is a mix of celebration, connection, and honest conversation, and it sets the foundation for what is ahead.If you have ever wondered why you react the way you do, or long to understand your story in a deeper way, this episode is for you.We would love to hear your thoughts for future episodes! Email us your ideas at podcast@reclaimedstory.comWant more resources, real stories, and a safe community to grow in your healing?Download the Reclaimed Story app or visit reclaimedstory.com to get connected.Here are two FREE Ebooks for you! 1. Shame Off You: 10 steps to shattering shame in your life, HERE. 2. ABC's: CLICK HERE for a FREE E-book to help you combat lies and replace them with God's truth.  For more encouragement, check out some of our offerings at www.reclaimedstory.comDid you know we have a jewelry line that speaks to your identity in Jesus? CLICK HERE to shop. Every purchase helps support our mission to provide healing and hope to women worldwide. Would you partner with us to spread the message of hope and healing? You can DONATE HERE.  Living the Reclaimed Life is a Reclaimed Story, Inc. podcast, An Arizona non-profit corporation. If you would like to connect with a safe group of women doing real-life together, join our private Facebook page, “Living the Reclaimed Life” or on  Facebook  or Instagram 

In this episode of Live Well, Earn Well, I sit down with Jill Pavlov — the brilliant mind behind Copy POP!, where strategy meets improv and storytelling. Jill helps high-achieving women entrepreneurs ditch the polished perfection and rediscover their authentic voice. If you've ever struggled to describe what you do without rambling or sounding too "professional," this conversation will shift everything. We talk about how to own your message, show up with personality, and make your brand unforgettable — all while actually enjoying the process. Life Plan Quiz — get a customized plan to align life & work: https://go.heartrepreneur.com/my-life-plan-quiz-snap Grab your Free E-book Work Yourself Happy (Amazon Best Seller) by Dr. Terri Levine here : https://book.terrilevine.com/work-yourself-happy Join us here to deeply connect with our community:  www.heartrepreneurs.com  Subscribe to this podcast on your favorite podcast platform… Apple: https://podcasts.apple.com/us/podcast/live-well-earn-well-for-coaches-consultants/id1585895518  Spotify: https://open.spotify.com/show/5OjsOxN7MqwKio4Ae6vSMQ 

High-energy strategies to build authentic relationships, save time, and turn engagement into revenue using an AI assistant across LinkedIn and beyond. Joe shares 99 hacks, prompt tips, and real results for coaches, consultants, and entrepreneurs. Life Plan Quiz — get a customized plan to align life & work: https://go.heartrepreneur.com/my-life-plan-quiz-snap Grab your Free E-book Work Yourself Happy (Amazon Best Seller) by Dr. Terri Levine here : https://book.terrilevine.com/work-yourself-happy Join us here to deeply connect with our community:  www.heartrepreneurs.com  Subscribe to this podcast on your favorite podcast platform… Apple: https://podcasts.apple.com/us/podcast/live-well-earn-well-for-coaches-consultants/id1585895518  Spotify: https://open.spotify.com/show/5OjsOxN7MqwKio4Ae6vSMQ