Podcasts about computational modeling

Climate modeler Aditi Sheshadri says that while weather forecasting and climate projection are based on similar science, they are very different disciplines. Forecasting is about looking at next week, while projection is about looking at the next century. Sheshadri tells host Russ Altman how new data and techniques, like low-cost high-altitude balloons and AI, are reshaping the future of climate projection on this episode of Stanford Engineering's The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your quest. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Aditi SheshadriConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/XChapters:(00:00:00) IntroductionRuss Altman introduces guest Aditi Sheshadri, a professor of Earth systems science at Stanford University.(00:02:58) Climate Projection vs. Weather ForecastingThe differences between climate projection and weather forecasting.(00:04:58) The Window of ChaosThe concept of the "window of chaos" in climate modeling.(00:06:11) Scale of Climate ModelsThe limitations and scale of climate model boxes.(00:08:19) Computational ConstraintsComputational limitations on grid size and time steps in climate modeling.(00:10:56) Parameters in Climate ModelingEssential parameters measured, such as density, temperature, and water vapor.(00:12:18) Oceans in Climate ModelsThe role of oceans in climate modeling and their integration into projections.(00:14:35) Atmospheric Gravity WavesAtmospheric gravity waves and their impact on weather patterns.(00:18:51) Polar Vortex and CyclonesResearch on the polar vortex and on tropical cyclone frequency.(00:21:53) Climate Research and Public AwarenessCommunicating climate model findings to relevant audiences.(00:23:33) New Data SourcesHow unexpected data from a Google project aids climate research,(00:25:09) Geoengineering ConsiderationsGeoengineering and the need for thorough modeling before intervention.(00:28:19) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/X

Jenea and Melyssa discuss Dr. Finley's journey into professorship as a computational researcher/mathematical biologist. --Dr. Stacey Finley is Professor of Biomedical Engineering and Quantitative & Computational Biology, at the University of Southern California and the inaugural holder of the Nichole A. and Thuan Q. Pham Professorship. Dr. Finley received her B.S. in Chemical Engineering from Florida A & M University and obtained her Ph.D. in Chemical Engineering from Northwestern University. She completed postdoctoral training at Johns Hopkins University in the Department of Biomedical Engineering. Dr. Finley joined the faculty at USC in 2013, and she leads the Computational Systems Biology Laboratory. Dr. Finley has a joint appointment in the Department of Chemical Engineering and Materials Science, and she is a member of the USC Norris Comprehensive Cancer Center. Dr. Finley is also a standing member of the MABS Study Section at NIH. Her research has been supported by grants from the NSF, NIH, and American Cancer Society.Selected honors. 2016 NSF Faculty Early CAREER Award; 2016 Young Innovator by the Cellular and Molecular Bioengineering journal; Leah Edelstein-Keshet Prize from the Society of Mathematical Biology; Junior Research Award from the USC Viterbi School of Engineering; the Hanna Reisler Mentorship Award; 2018 AACR NextGen Star; 2018 Orange County Engineering Council Outstanding Young Engineer; 2021 Elected Fellow of American Institute for Biological and Medical Engineering; 2022 Elected Fellow of the Biomedical Engineering SocietyLab website: https://csbl.usc.edu/ Lab Twitter: https://twitter.com/USCSysBio_LabFollow Dr. Finley's student, Diamond Mangrum, on Instagram (author of the paper referenced by Ijeoma in the episode): https://www.instagram.com/melanated.phd/?hl=en . She aims to demystify the Ph.D. process!------The CompBio Cafe Podcast is brewing up fresh perspectives in the CompBio world. Hosts Jenea Adams and Melyssa Minto, PhD are two trained computational biologists who serve the Black Women in Computational Biology Network (BWCB).Learn more about us at linktr.ee/bwcb.Subscribe to CompBio Cafe wherever you get your podcasts, and leave us a review once you've listened to a few episodes.

Luca Neri, Senior Director of Clinical Advanced Analytics at Fresenius Medical Care, discusses Anemia Management with AI and computational modeling.

Professor and cultural psychologist Michele Gelfand's latest book, Rule Makers, Rule Breakers, explores notions of what she calls “tight” and “loose” cultures, and how each shapes us as individuals and the world around us. Tight cultures closely follow unwritten cultural norms, while those on the looser side have more latitude. Culture is complicated, she says, but understanding its nuances is key to understanding the world, Gelfand tells host Russ Altman on this episode of Stanford Engineering's The Future of Everything podcast.Episode Reference Links:Michele Gelfand Website / BioRule Makers, Rule Breakers: How Tight & Loose Cultures Wire Our World (Michele Gelfand's Book)Mindset Quiz  (Quiz on Michele's Website)Threat DictionaryTight-Looseness Across the 50 United States  (PNAS paper on reclassifying states from red/blue to tight/loose)The Culturally Intelligent Negotiator: The Impact on Cultural Intelligence (CQ) on Negotiation Sequences & Outcomes   (Michele Gelfand & Lynn Imai Study)Differences Between Tight and Loose Cultures: 33 Nation Study (Michele's study published in Science on factors that predict strict and permissive social norms)Together From Afar: Introducing a Diary Contact Technique for Improving Intergroup Relations  (US / Pakistan Study)Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/XChapters:(00:00:00) IntroductionRuss introduces Michele Gelfand and her research on the study of culture and cultural intelligence.(00:02:33) Defining CultureA working definition of culture and the invisible impact of cultural norms, values, and beliefs.(00:03:46) The Tight-Loose SpectrumThe concept of tight and loose cultures and how social norms vary across cultures.(00:06:30) Cultural Variance within and between SocietiesVariations of tight-loose norms at national, state, and organizational levels,  and the role of threat in shaping these norms.(00:11:34) Cultural Intelligence in Global LeadershipHow the tight-loose spectrum and cultural studies inform leadership, and the significance of cultural intelligence (CQ) in global interactions.(00:18:59) Cultural Evolutionary MismatchImplications for global threats and societal responses.(00:23:56) Applying Cultural Insights in BusinessInsights on applying cultural understanding to improve business mergers, negotiations, and the success of expatriate assignments.(00:26:09) Enhancing Cultural IntelligenceImproving cultural intelligence and steps individuals can take to enhance their CQ and adapt to cultural differences.(00:28:48) Urban vs. Rural Cultural DifferencesTight-loose division in politics and societal contexts, and the cultural divide between urban and rural areas.(00:31:19) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/X

We're re-running an important episode on Alzheimer's disease — a topic that touches many people. We still don't have a complete understanding of the disease and that makes it hard to design effective therapies. In 2022, Russ Altman sat down with mechanical engineer Ellen Kuhl who offered a glimpse into the way she's using computational modeling to help improve our understanding of Alzheimer's disease.Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/XChapters:(00:00:00) Introduction Russ introduces the episode on Alzheimer's disease, highlighting its global impact, challenges treating it, and Dr. Ellen Kuhl's research on it.(00:02:08) The Approach and Research MethodsEllen Kuhl discusses her lab's interdisciplinary approach, and method of using existing data to create dynamic models to study the brain's lifecycle and degeneration in Alzheimer's disease.(00:03:46) Key Features of Alzheimer's Disease and DetectionBiomarkers of Alzheimer's, their role in brain cell death and cognitive decline, and the possibilities for early detection methods of these protein issues.(00:07:20) How Computational Models FunctionHow the models integrate various data points and physics principles to comprehensively understand Alzheimer's progression.(00:08:43) Spread of the DiseaseExploring the mechanisms of how Alzheimer's spreads from cell to cell in the brain, and the progression through the lobes of the brain, regardless of the cause genetic or trauma induced.(00:12:33) Interdisciplinary Collaboration The challenges and benefits of working as a mechanical engineer in Alzheimer's research and the opportunities of a multidisciplinary approach.(00:14:33) Alzheimer's Drug Development Modeling a controversial Alzheimer's drug, its potential impact, and the importance of early diagnosis for effective treatment.(00:16:04) Transition to COVID Research and ModelingHow the Alzheimer's model was rapidly adapated to study the spread of COVID-19, drawing parallels between brain regions and city networks.(00:18:38) Covid Modeling Learnings and ApplicationsHow their COVID models highlighted the importance of asymptomatic transmission and helped governments with reopening strategies.(00:20:24) Responsible Model Application The rampant and at times irresponsible use of  models during the pandemic, and metrics for measuring credibility of models(00:23:59) COVID Data SharingThe positive legacy of COVID-19, focusing on the accelerated progress facilitated by open and transparent data sharing.(00:24:53) Model Interpretability and ClosingInsights into the importance of model interpretability and the value of reducing complexity to enhance understanding. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/X

Thomas Metzinger is Professor of Theoretical Philosophy at the Johannes Gutenberg-Universität Mainz. He is the author of The Ego Tunnel and Being No One (MIT Press), the coeditor of Open MIND, and the editor of Neural Correlates of Consciousness (both MIT Press). His research focus lies in analytical philosophy of mind and cognitive science, as well as in connections between ethics, philosophy of mind and anthropology. He is the recipient of several awards and Fellowships, including a Fellowship by the Gutenberg Research College and a Research Professorship from the German Ministry of Science, Education and Culture. He was the Director of the Neuroethics Research Unit in Mainz and Director of the MIND Group at the FIAS. He is past president of the German Cognitive Science Society and of the Association for the Scientific Study of Consciousness. He was a key member of the EU's High-level Expert Group on artificial intelligence. A life-long meditator himself, Metzinger contributes widely to the scientific and philosophical understanding of contemplative practices. He is the founder and director of the MPE-project, a network of more serious researchers investigating the experience of pure awareness in meditation. EPISODE LINKS: - Thomas' Website: https://www.grc.uni-mainz.de/prof-thomas-metzinger/ - Thomas' Books: https://www.amazon.com/Books-Thomas-Metzinger/s?rh=n%3A283155%2Cp_27%3AThomas+Metzinger - Thomas' Publications: https://scholar.google.co.za/citations?user=x_CsYPMAAAAJ&hl=en - Thomas' Forthcoming Book "The Elephant and the Blind": https://mitpress.mit.edu/9780262547109/the-elephant-and-the-blind/ CONNECT: - Website: https://tevinnaidu.com - Instagram: https://instagram.com/drtevinnaidu - Facebook: https://facebook.com/drtevinnaidu - Twitter: https://twitter.com/drtevinnaidu - LinkedIn: https://linkedin.com/in/drtevinnaidu TIMESTAMPS: (0:00) - Introduction (0:33) - What is Consciousness? (6:30) - What is the Self? (10:12) - The Mind-Body Problem (24:56) - Christof Koch & David Chalmers - "the infamous bet" (27:34) - New Approaches to Consciousness (Karl Friston, Computational Modeling etc.) (34:11) - Philosophy of Psychiatry & Philosophy's Implications on Mental Health (44:48) - Daniel Dennett & Illusionism (49:17) - Epistemic Agent Model, Introspection & Mind Wandering (1:04:36) - More on Illusionism (1:14:13) - Panpsychism & Existence Bias (1:24:52) - Bewusstseinskultur, Negative Egalitarianism & Practical Ethics (1:41:39) - "The Elephant and the Blind" (forthcoming book) (1:50:04) - Differences & Similarities to Mark Solms' "The Hidden Spring" (1:55:58) - Thomas' Philosophers/Scientists recommendations (2:00:06) - A better Culture of Consciousness (2:05:07) - Applied Ethics (2:11:50) - Religious World-views & the Naturalist Turn (2:14:35) - Conclusion

Neuroscientist Kalanit Grill-Spector studies the physiology of human vision and says that the ways computers and people see are in some ways similar, but in other ways quite different. In fact, she says, rapid advances in computational modeling, such as deep neural networks, applied to brain data and new imaging technologies, like quantitative MRI and diffusion MRI, are revolutionizing our understanding of how the human brain sees. We're unraveling how the brain “computes” visual information, as Grill-Spector tells host Russ Altman on this episode of Stanford Engineering's The Future of Everything podcast.Chapter Time Stamps:(00:01:30) Episode introduction: Exploring the fascinating field of cognitive neuroscience and brain development with Kalanit Grill-Spector.(00:02:45) Dr Grill-Spector's background and research interests: The intersection of cognitive neuroscience, psychology, and computer science.(00:04:00) The crucial role of experience in shaping brain development: Understanding how environmental factors influence neural specialization.(00:09:55) The development of word processing regions in the brain: Investigating the emergence and evolution of brain regions associated with reading and word recognition.(00:11:30) The evolution of word specialization and its implications: Exploring how the brain acquires the ability to read and process words.(00:14:20) Shift in research focus to studying brain development in infants: Exploring the critical early phases of brain development and the impact of experience on neural circuits.(00:16:40) Pokemon, Brain Representation, and Perception: The surprising findings on the continued development of word and face processing regions. Discovering the extended period of specialization and plasticity in these brain areas.(00:19:10) Unexpected decline in specialization for body parts, particularly hands: Examining the trade-off between different cognitive abilities as brain regions specialize.(00:22:00) Understanding the potential impact of experience on brain organization: Examining how environmental factors shape the neural pathways and cognitive capabilities.(00:25:00) Investigating the influence of Pokemon on brain representation and perception: Analyzing the effects of exposure to specific visual stimuli on brain organization.(00:27:15) The unique characteristics of Pokemon stimuli: Exploring how visual features, animacy, and stimulus size affect brain responses.(00:29:00) Specificity of brain representation for Pokemons: Uncovering whether the brain develops distinct neural pathways for Pokemon stimuli.(00:31:45) Comparing the effects of word learning: Understanding the potential trade-offs in brain specialization.(00:32:45) Technical challenges in studying infant's brains: Discussing the need for new tools and analysis methods to study developing brains.

Jason Webb: Think Bigger: Create International Intellectual Property Jason Webb is an intellectual property attorney and the founder of JP Webb. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research. He has deep experience in patent, trademark, and copyright law. He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. Welcome to the Conscious Millionaire Show for entrepreneurs, who want to achieve high sales and positively impact humanity! Join host, JV Crum III, as he goes inside the minds of conscious guests such as Millionaire Entrepreneurs and World-Class Business Experts. Like this Podcast? Get every episode delivered to you free!  Subscribe in iTunes Download Your Free Money-Making Gift Now... "Born to Make Millions" Hypnotic Audio - Click Here Now! Please help spread the word. Subscribing and leaving a review helps others find our podcast. Thanks so much! Inc Magazine "Top 13 Business Podcasts." Conscious Millionaire Network has over 3,5000 episodes that have been heard by over 100 million in 190 countries. Join us as a regular listener to get money-making and impact secrets on how you can grow your business and make a massive difference for humanity faster!

Jason Webb: Think Bigger: Create International Intellectual Property Jason Webb is an intellectual property attorney and the founder of JP Webb. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research. He has deep experience in patent, trademark, and copyright law. He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. Welcome to the Conscious Millionaire Show for entrepreneurs, who want to achieve high sales and positively impact humanity! Join host, JV Crum III, as he goes inside the minds of conscious guests such as Millionaire Entrepreneurs and World-Class Business Experts. Like this Podcast? Get every episode delivered to you free!  Subscribe in iTunes Download Your Free Money-Making Gift Now... "Born to Make Millions" Hypnotic Audio - Click Here Now! Please help spread the word. Subscribing and leaving a review helps others find our podcast. Thanks so much! Inc Magazine "Top 13 Business Podcasts." Conscious Millionaire Network has over 3,5000 episodes that have been heard by over 100 million in 190 countries. Join us as a regular listener to get money-making and impact secrets on how you can grow your business and make a massive difference for humanity faster!

In this episode of DeviceTalks Weekly, we visit with Claire Biot, vice president, life sciences at Dassault Systèmes to learn about the company's virtual twin platform. Biot explains how the company is able to establish a digital model of a product requiring testing or patients who would serve as the test subject. The key benefits include faster product development, lower costs, higher sustainability, and stronger ethics. The company's highest profile project might the Living Heart Project, which serves as a virtual twin of the living heart allowing for faster and safer testing of cardiac devices. Dassault Systèmes is working with the FDA to develop a method for testing. We'll also connect with Jithesh Veetil, PhD, senior program director, Digital Health & Technology, at the Medical Device Innovation Consortium (MDIC). Veetil will explain how industry can incorporate virtual twin technology into development and testing. Here is a link to the Landscape Report & Industry Survey on the Use of Computational Modeling & Simulation in Medical Device Development. https://mdic.org/wp-content/uploads/2023/01/CMS_Landscape_Report.pdf This episode was sponsored by Dassault Systèmes. Chris Newsmaker, executive editor of life sciences, also delivers his -award-winning-worthy Newmarker's Newsmakers featuring news from Intuitive, Neuromod Devices, LivaNova, Johnson & Johnson Medtech and Medtronic. Thanks for listening to this episode of the DeviceTalks Weekly Podcast. You can subscribe to the DeviceTalks Podcast Network on any major podcast player.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.03.06.531272v1?rss=1 Authors: Zuhlsdorff, K., Verdejo-Roman, J., Clark, L., Albein-Urios, N., Soriano-Mas, C., Cardinal, R., Robbins, T., Dalley, J. W., Verdejo-Garcia, A., Kanen, J. W. Abstract: Cognitive flexibility refers to the ability to adjust to changes in the environment and is essential for adaptive behavior. It can be investigated using laboratory tests such as probabilistic reversal learning (PRL). In individuals with both Cocaine Use Disorder (CUD) and Gambling Disorder (GD), overall impairments in PRL flexibility are observed. However, it is poorly understood whether this impairment depends on the same brain mechanisms in cocaine and gambling addictions. Reinforcement learning (RL) is the process by which rewarding or punishing feedback from the environment is used to adjust behavior, to maximise reward and minimise punishment. Using RL models, a deeper mechanistic explanation of the latent processes underlying cognitive flexibility can be gained. Here, we report results from a re-analysis of PRL data from control participants (n=18) and individuals with either GD (n=18) or CUD (n=20) using a hierarchical Bayesian RL approach. We observed significantly reduced stimulus stickiness (i.e., stimulus-bound perseveration) in GD, which may reflect increased exploratory behavior that is insensitive to outcomes. RL parameters were unaffected in CUD. We relate the behavioral findings to their underlying neural substrates through an analysis of task-based fMRI data. We report differences in tracking reward and punishment expected values (EV) in individuals with GD compared to controls, with greater activity during reward EV tracking in the cingulate gyrus and amygdala. In CUD, we observed reduced responses to positive punishment prediction errors (PPE) and increased activity following negative PPEs in the superior frontal gyrus compared to controls. Thus, an RL framework serves to differentiate behavior in a probabilistic learning paradigm in two compulsive disorders, GD and CUD. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

In this episode, special guest presenter Dr. Michael Goodrich breaks open G.K. Chesterton's Orthodoxy, a book that many pastors and scholars consider the greatest work of modern apologetics.You can find an on-line copy of the text here. You may also listen to the book in an audio version.Dr. Michael S. Goodrich is a staff scientist in the Experimental Physics Computational group at the Thomas Jefferson National Accelerator Facility.  He holds B.S., M.S. degrees in Physics and a Ph.D. in Computational Modeling, all from Old Dominion University.The music in the introduction and close of this podcast is provided by George Sarah.This program of mystagogy is hosted by the Adult Faith Programs at Saint Stephen Martyr Church in Chesapeake, Virginia.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.01.03.521866v1?rss=1 Authors: Akhshi, A., Haggard, M., Marquez Machorro, M., Farjami, S., Chacron, M. J., Khadra, A. Abstract: Neurons ubiquitously display heterogeneities in spiking activity even within a given cell type. To date, the relative contributions of extrinsic mechanisms (e.g., synaptic bombardment) and intrinsic mechanisms (e.g., conductances, cell morphology) towards determining spiking activity remain poorly understood. Here we address this important question using a novel approach that combines biophysical techniques, in which extracellular in vivo recordings of electrosensory pyramidal cells within weakly electric fish, are combined with computational modeling. Specifically, by varying parameters, a conductance-based computational model successfully reproduced the highly heterogeneous spiking activities seen experimentally. Model parameters that varied the most were then used to gauge the relative contributions of extrinsic vs. intrinsic mechanisms. Overall, extrinsic synaptic input was predicted to be the main factor accounting for spiking heterogeneities. We tested this prediction experimentally by performing two different manipulations: i) pharmacologically inactivating feedback; ii) applying the neuromodulator serotonin. Our model predicted that feedback inactivation should reduce while serotonin application should increase spiking heterogeneities. Experiments corroborated these predictions. Importantly, for serotonin application, increased heterogeneity occurred despite a strong reduction in intrinsic membrane conductance, further demonstrating that extrinsic synaptic input is the primary determinant of spiking heterogeneities in vivo. Taken together, our results demonstrate that devising a computational model to capture spiking heterogeneities in vivo and assessing which parameters are responsible can successfully determine the relative contributions of extrinsic vs. intrinsic inputs. We expect this approach to be generalizable to other systems and species. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.12.21.521407v1?rss=1 Authors: Chien, S.-C., Wang, P., Maess, B., Fishman, Y., Knoesche, T. Abstract: Evoked neural responses to sensory stimuli have been extensively investigated in humans and animal models both to enhance our understanding of brain function and to aid in clinical diagnosis of neurological and neuropsychiatric conditions. Recording and imaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), local field potentials (LFPs), and calcium imaging provide complementary information about different aspects of brain activity at different spatial and temporal scales. Modeling and simulations provide a way to integrate these different types of information to clarify underlying neural mechanisms. In this study, we aimed to shed light on the neural dynamics underlying auditory evoked responses by fitting a rate-based model to LFPs recorded via multi-contact electrodes which simultaneously sampled neural activity across cortical laminae. Recordings included neural population responses to best-frequency (BF) and non-BF tones at four representative sites in primary auditory cortex (A1) of awake monkeys. The model considered major neural populations of excitatory, parvalbumin-expressing (PV), and somatostatin-expressing (SOM) neurons across layers 2/3, 4, and 5/6. Unknown parameters, including the connection strength between the populations, were fitted to the data. Our results revealed similar population dynamics, fitted model parameters, predicted equivalent current dipoles (ECD), tuning curves, and lateral inhibition profiles across recording sites and animals, in spite of quite different extracellular current distributions. We found that PV firing rates were higher in BF than in non-BF responses, mainly due to different strengths of tonotopic thalamic input, whereas SOM firing rates were higher in non-BF than in BF responses due to lateral inhibition. In conclusion, we demonstrate the feasibility of the model-fitting approach in identifying the contributions of cell-type specific population activity to stimulus-evoked LFPs across cortical laminae, providing a foundation for further investigations into the dynamics of neural circuits underlying cortical sensory processing. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Knowing Neurons interviews Dr. Bradley Love, Professor of Cognitive and Decision Sciences at University College London and an inaugural Turing Fellow at the Alan Turing Institute. In this episode, we discuss his views on Marr's levels of analysis, computational modeling for studying the brain, and his interdisciplinary research into cognitive science and artificial intelligence. Learn more about Bradley's research at http://bradlove.org/. Papers discussed: https://www.sciencedirect.com/science/article/abs/pii/S0022249616000031 https://scholar.google.com/citations?view_op=view_citation&hl=en&user=H8dnlegAAAAJ&citation_for_view=H8dnlegAAAAJ:eflP2zaiRacC https://scholar.google.com/citations?view_op=view_citation&hl=en&user=H8dnlegAAAAJ&sortby=pubdate&citation_for_view=H8dnlegAAAAJ:ZzlSgRqYykMC Written and produced by Ebrahim Feghhi, Elizabeth Burnette, Chaoqun Yin, Danny Kusko, and Ayushe Sharma. Music Used: "Bleeping Demo" by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/7012-bleeping-demo Licensed under Creative Commons: By Attribution 4.0 https://creativecommons.org/licenses/by/4.0/ "Pamgaea" by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/4193-pamgaea Licensed under Creative Commons: By Attribution 4.0 https://creativecommons.org/licenses/by/4.0/ "Study and Relax" by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/5764-study-and-relax Licensed under Creative Commons: By Attribution 4.0 https://creativecommons.org/licenses/by/4.0/

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.11.30.518425v1?rss=1 Authors: Verharen, J. P. H., de Jong, J. W., Zhu, Y., Lammel, S. Abstract: The sucrose preference test (SPT) measures the relative preference of a sucrose solution over water to assess hedonic behaviors in rodents. The SPT involves numerous complex behaviors, including learning, motivation, and choice. Yet, it remains uncertain whether its main outcome measure, sucrose preference, can reflect these behavioral subcomponents. Here, we conducted an experimental and computational decomposition of mouse behavior in the SPT and discovered previously unrecognized behavioral subcomponents associated with changes in sucrose preference. While both acute and chronic stress reduced sucrose preference, only chronic stress evoked anhedonia. Additionally, reduced sucrose preference induced by optogenetics is not always indicative of anhedonia but can also reflect learning deficits. Even small variations in experimental conditions influence behavior, task outcome and interpretation. Thus, an ostensibly simple behavioral task can entail high levels of complexity, demonstrating the need for careful dissection of behavior into its subcomponents when studying the underlying neurobiology. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Regenerative Medicine Today welcomes Mr. Shawn Bengtson.  Mr. Bengtson is the Quality Systems Manager at the McGowan Institute, implementing a Quality Systems Program supporting the Center's Preclinical Studies. Mr. Bengtson discusses his work in Quality Management Systems and how it differs from Good Lab Practices. For more information about Mr. Bengtson, click here. [...]

https://psychiatry.dev/wp-content/uploads/speaker/post-10631.mp3?cb=1667329365.mp3 Playback speed: 0.8x 1x 1.3x 1.6x 2x Download: Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia – JuanitaFull EntryComputational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia –

Regenerative Medicine Today welcomes Dr. Mo Ebrahimkhani.  Dr. Ebrahimkhani is an Associate Professor in the Department of Pathology, School of Medicine, University of Pittsburgh.  He is also a member of the Division of Experimental Pathology and the Pittsburgh Liver Research Center. Dr. Ebrahimkhani discusses his research in systems and synthetic biology-based approaches to [...]

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.09.12.507526v1?rss=1 Authors: Poublan-Couzardot, A., Lecaignard, F., Fucci, E., Davidson, R. J., Mattout, J., Lutz, A., Abdoun, O. Abstract: Despite attempts to unify the different theoretical accounts of the mismatch negativity (MMN), there is still an ongoing debate on the neurophysiological mechanisms underlying this complex brain response. On one hand, neuronal adaptation to recurrent stimuli is able to explain many of the observed properties of the MMN, such as its sensitivity to controlled experimental parameters. On the other hand, several modeling studies reported evidence in favor of Bayesian learning models for explaining the trial-to-trial dynamics of the human MMN. However, direct comparisons of these two main hypotheses are scarce, and previous modeling studies suffered from methodological limitations. Based on reports indicating spatial and temporal dissociation of physiological mechanisms within the timecourse of mismatch responses in animals, we hypothesized that different computational models would best fit different temporal phases of the human MMN. Using electroencephalographic data from two independent studies of a simple auditory oddball task (n = 82), we compared adaptation and Bayesian learning models ability to explain the sequential dynamics of auditory deviance detection in a time-resolved fashion. We first ran simulations to evaluate the capacity of our design to dissociate the tested models and found that they were sufficiently distinguishable above a certain level of signal-to-noise ratio (SNR). In subjects with a sufficient SNR, our time-resolved approach revealed a temporal dissociation between the two model families, with high evidence for adaptation during the early MMN window (from 90 to 150-190 ms post-stimulus depending on the dataset) and for Bayesian learning later in time (170-180 ms or 200-220ms). In addition, Bayesian model averaging of fixed-parameter models within the adaptation family revealed a gradient of adaptation rates, resembling the anatomical gradient in the auditory cortical hierarchy reported in animal studies. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.08.26.505458v1?rss=1 Authors: Alamri, Y., Jennings, S. Abstract: The auditory nerve (AN) compound action potential (CAP) is an important tool for assessing auditory disorders and monitoring the health of the auditory periphery during surgical procedures. The CAP has been mathematically conceptualized as the convolution of a unit response (UR) waveform with the firing rate of a population of AN fibers. Here, an approach for predicting experimentally recorded CAPs in humans is proposed, which involves the use of human-based computational models to simulate AN activity. CAPs elicited by clicks, chirps, and amplitude-modulated carriers were simulated and compared with empirically recorded CAPs from human subjects. In addition, narrowband CAPs derived from noise-masked clicks and tone bursts were simulated. Many morphological, temporal, and spectral aspects of human CAPs were captured by the simulations for all stimuli tested. These findings support the use of model simulations of the human CAP to refine existing human-based models of the auditory periphery, aid in the design and analysis of auditory experiments, and predict the effects of hearing loss, synaptopathy, and other auditory disorders on the human CAP. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

The Future of Everything with Russ Altman: E184 | Computational modeling can help understand Alzheimer's disease A professor of mechanical engineering explains how computational models of Alzheimer's spread in the brain are providing new information about the disease. Physicians diagnose Alzheimer's disease with tests that measure memory loss and behavioral change. But many years before these symptoms appear, the disease is changing the brain, leading to the buildup of misfolded proteins and brain shrinkage that cause cognitive decline. In this episode of Stanford Engineering's The Future of Everything, Stanford mechanical engineer Ellen Kuhl explains how she's using databases of brain images of both Alzheimer's patients and healthy individuals to create computational models that show how the disease spreads through distinct parts of the brain and gradually impacts different brain functions. Kuhl and host, Stanford bioengineer Russ Altman, explore how these models have generated new insights into how Alzheimer's affects the brain, as well as its diagnosis and its potential treatment. Listen and subscribe here.

Physicians diagnose Alzheimer's disease with tests that measure memory loss and behavioral change. But many years before these symptoms appear, the disease is changing the brain, leading to the buildup of misfolded proteins and brain shrinkage that cause cognitive decline. In this episode of Stanford Engineering's The Future of Everything, Stanford mechanical engineer Ellen Kuhl explains how she's using databases of brain images of both Alzheimer's patients and healthy individuals to create computational models that show how the disease spreads through distinct parts of the brain and gradually impacts different brain functions. Kuhl and host, Stanford bioengineer Russ Altman, explore how these models have generated new insights into how Alzheimer's affects the brain, as well as its diagnosis and its potential treatment. Listen and subscribe here. 

The average cost of developing a new drug is estimated at over $2 billion. Roughly 10% of pre-clinical drugs ever make it to human trials. And each year, $50 billion is “misspent” in the trial & error method of research and development. An AI-enabled “decision engine” could help researchers find cures to rare diseases, bridge the translational gap between animal models to human systems, and move faster in drug development reducing associated R&D costs. Today on the show we chat with Jo Varshney, the founder of VeriSIM Life, about the AI-enabled technology that is cutting the time for drug development in half. Searching for a drug candidate for bone cancer led Dr. Varshney to tackle the challenges of better predicting outcomes, improving methods for drug discovery, and building models closer to human systems.About Jo Varshney and VeriSIM LifeDr. Jo Varshney is a multi-disciplinary and celebrated leader in veterinary & human health development. She is the founder and CEO of VeriSIM Life, which is building AI-enabled biosimulation technology to empower researchers to predict how potential drug candidates will interact in animal models. Dr. Varshney holds a Ph.D. in Comparative Oncology and Genomics from the University of Minnesota, a Master's Degree in Translational Pathobiology & Bioinformatics from Penn State University, and a Doctorate of Veterinary Medicine from the College of Veterinary Science & Animal Husbandry. She serves as a Scientific Advisor at SVAI, a San Francisco-based non-profit organization promoting education and cooperative research at the intersection of computational and life sciences. Links: VeriSIM Life LinkedIn | Jo VarshneyGenomics HackathonWikipedia | Drug DiscoveryWikipedia | The Translational GapQualio WebsitePrevious episodes: https://www.qualio.com/from-lab-to-launch-podcastApply to be on the show: https://forms.gle/uUH2YtCFxJHrVGeL8Music by keldez

In this episode, Mark talks with Jess Dykes and Melissa Girmscheid, who are both modeling instructors and have spent time developing the modeling curriculum for Computational Modeling Physics First with Bootstrap, CMPF-B. They talk about that project as well as a number of other things going on in their schools and at AMTA. Guests Melissa Girmscheid Melissa has been a fan of Modeling Instruction since she learned physics through Modeling in high school. She is a graduate of Arizona State University where she was fortunate to learn Modeling as her teaching methods course and has since returned to earn a Masters of Natural Science. In 2017, Melissa became part of the Computational Modeling in Physics First with Bootstrap project and has worked since as a curriculum developer and workshop leader for the project. Melissa is a board member for STEMteachersPHX, the High School Representative for the Arizona section of the American Association of Physics Teachers, and currently serves as the AMTA Board President. https://twitter.com/mrsgphysics (Twitter) Jess Dykes Jess started teaching in 2000 in NJ. When switching schools, he was hired to teach freshmen physics, and the school district hiring him decided to send him to an intensive 5 day - 9 hours per day crash course in modeling instruction. The following summer he went to ASU for three weeks of modeling instruction training. In 2017, he attended the CMPF-B development workshop. The CMPF-B course went through a massive revision and Jess and Melissa were selected as primary editors and trainers. They held the first training in Chicago in 2018, followed by training at ASU in 2019. They also have now led two online versions, one during the Spring Semester through NC State University, and one last summer through AMTA. Highlights [15:02] Melissa Girmscheid, on E&M in the modeling curriculum: "I love the electricity and magnetism portion we have because I think it lends itself so well to a great partnership with what students are learning in chemistry. So when they have a chemistry modeler, and they've learned E&M from a physics modeler, the depth that students are able to explore, with how particles interact, I think is, pretty powerful." [32:12] Jess Dykes: "there's something really cool about programming something into the computer and having it break the law of physics because you told it to, and then you go back and you get the computer to follow the laws of physics, which shows that you actually understand the laws of physics." Resources Download Transcript https://sciencemodelingtalks.com/wp-content/uploads/2022/03/SMT-Ep30-MelissaJess-Transript.pdf (Ep 30 Transcript) Links https://www.pasco.com/products/lab-apparatus/electricity-and-magnetism/circuits-and-components/em-8624 (CASTLE (Capacitor-Aided System for Teaching and Learning Electricity))

Machine Medicine Interview Series hosted by Dr Jonathan O'Keeffe with Prof. Jeffrey Arle.   How computational modeling meets neuroscience.   Transcript for interview highlight:  https://machinemedicine.com/interview-series/computational-modeling-of-neural-stimulation-and-circuitry   Find out more topics: https://machinemedicine.com/interview-series/

This month, Mark talks with John Baunach, a modeler and teacher of ninth-grade physics. He talks about his career journey as well as the ways that modeling changed his teaching. They talk about computational modeling in physics first using code to help students understand mechanics. They also talk about the flow of courses at John's school and the newest modeling workshop, modeling astronomy. Finally, they talk about tips for new modelers and advice to all teachers. Guest Bio John Baunach John has been teaching for nearly a decade, in public, private, and parochial high schools (and briefly in a university setting). He was born and raised in Louisville, KY, before attending Vanderbilt for his Bachelor's in Physics and Astronomy. He taught briefly after graduation at a local public high school, before returning for a Master's in Physics, where he was blessed to volunteer at NASA's Langley Research Center while finishing his thesis on space radiation protection modeling. He returned to education in the Nashville area, and in 2014 he attended a modeling workshop at Western Kentucky University, which had a career-changing impact on his teaching philosophy. He worked for three years at a school with a Physics First curriculum and Modeling Instruction integrated at all levels of science. He currently teaches Physics (9th Grade) and Statistics at Doane Academy, an independent K-12 day school in Burlington, NJ, just north of Philadelphia, where he is also the Science Department Chair and Director of Technology. He has led modeling workshops since 2020. https://twitter.com/JohnBaunach (Twitter) | https://instagram.com/johnbaunach (Instagram) | http://www.workingtheproblem.org (Website) Highlights [13:13] John Baunach, on why computational modeling helps students to learn: "what I find is most important is that it changes how students see math and its relationship to physics. Because oftentimes we go from motion maps to graphs and then jump from graphs and kind of derive the equations of motion from a graph. And I find coding is another nice half step between that point. And it is a different way... it lets us look at the world in one more different way and one more useful way." Resources Transcript https://sciencemodelingtalks.com/wp-content/uploads/2021/12/SMT-Ep27-John-Baunach-Transcript.pdf (John Transcript) Support this podcast

In this new DSMINDSETS podcast episode we invited Dr. Aurélie Carlier, an  Assistant Professor in computational modeling and regenerative medicine.  Aurélie works at the interface of computational modeling, tissue engineering and regenerative medicine with a core expertise in white box models. With host Anna Schueth she talked about the use of mathematical models and equations to describe and predict biology and how this has great potential for patients and clinicians. Additionally, Aurélie engages in supporting females in academia and is one of the founding members of FEM (Female Empowerment Maastricht) Full bio: https://www.linkedin.com/in/aureliecarlier/?originalSubdomain=beFollow us on Twitter/Instagram: @DSMindsetsEpisode shownotes are available at: https://www.maastrichtuniversity.nl/data-scientist-mindsets-podcast Please rate us on Apple Podcasts or your favorite podcast platform.If you are a member of the Maastricht University community, please evaluate our episodes! Your input helps us to meet our grant-funded objectives and improve our podcast: https://forms.gle/yZV2DTFH6Jo4Kyss5Special thanks to our partner: UM Inner City Library Makerspace for providing facilities for recording.This project is financially funded by UM Diversity & Inclusivity Grant 2022. For more information, visit: https://www.maastrichtuniversity.nl/about-um/diversity-inclusivity/your-di-vision-umMusic: Funkorama by Kevin MacLeodLink: https://incompetech.filmmusic.io/song/3788-funkorama License: https://filmmusic.io/standard-license 

Mr. Jason Webb is an intellectual property attorney and Partner at Pearson Butler.  He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research.  He received his law degree from the S.J. Quinney School of Law at the University of Utah.  Mr. Webb trained as an extern for the Honorable Judges Stephen L. Roth of the Third District Court of Utah and J. Thomas Greene of the District of Utah in Federal District Court.     Mr. Webb is the director of the Intellectual Property Group at Pearson Butler and has deep experience in patent, trademark, and copyright law.  He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies.  He has also experience as an expert witness for intellectual property issues. His client's products and services are sold nationally and internationally on the internet, through HSN and QVC, and in big box stores, including The Home Depot and Toys'R'US. Mr. Webb is a recognized national expert in intellectual property law and has been quoted worldwide in nationally syndicated publications.  Mr. Webb has owned and operated several successful businesses.

Today's storyteller is Dr Bharathi Boppana! Bharathi is a Research Scientist at the Institute of High Performance Computing in Singapore. Today we talk about her work there using computational simulations to model wind and pollution in urban areas. Bharathi's journey is so interesting - her background is in engineering, and her PhD is in applied mathematics - and her journey takes her to Singapore where she is now. We talk fluid dynamics, what modeling is, how modeling works, computer programs, her journey in her career, and the type of work she does now. Also, Bharathi and I are both members of Homeward Bound's 5th cohort (known as HB5), which is how I have gotten to know her. And in a fun twist, Bharathi asks me questions about my work and it was rather fun being on the other end of the microphone! Enjoy! --- You can find Rachel Villani on Twitter @flyingcypress and Storytellers of STEMM on Facebook and Twitter @storytellers42. Book List: Tapestries of Life by Anne Sverdrup-Thygeson, Becoming by Michelle Obama, The One Device by Brian Merchant, The Moment of Lift by Melinda Gates, Broken Horses by Brandi Carlile, My Penguin Year by LIndsay McCrae You can find Homeward Bound at their website https://homewardboundprojects.com.au/, on Twitter @HomewardBound16, and on Facebook at https://www.facebook.com/homewardboundprojects. Rachel works on the Coastwide Reference Monitoring System (CRMS) in Louisiana: https://www.lacoast.gov/crms/Home.aspx Recorded on 3 July 2021.

Welcome to the Conscious Millionaire Show for entrepreneurs, coaches, and leaders who want to double your business, increase profits, and make a positive impact! Join host, JV Crum III, as he goes inside the minds of Millionaire Entrepreneurs and World-Class Business Experts. Today's featured episode... Jason Webb: How to Leverage Your Intellectual Property Jason Webb is an intellectual property attorney and a Partner at Pearson Butler. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from BYU where he assisted in experimental laser physics and cancer research. He has deep experience in patent, trademark, and copyright law. He has successfully negotiated licensing and settlement agreements for his clients with Fortune 500 companies. Like this Podcast? Get every episode delivered to you free!  Subscribe in iTunes Download Your Free Money-Making Gift Now... "Born to Make Millions" Hypnotic Audio - Click Here Now! Please help spread the word. Subscribing and leaving a review helps others find our podcast. Thanks so much! Inc Magazine "Top 13 Business Podcasts." Conscious Millionaire Network has over 2,500 episodes and millions of listeners in 190 countries. Join us as a regular listener to get money-making secrets on how you can grow your business and profits faster! 

Welcome to the Conscious Millionaire Show for entrepreneurs, coaches, and leaders who want to double your business, increase profits, and make a positive impact! Join host, JV Crum III, as he goes inside the minds of Millionaire Entrepreneurs and World-Class Business Experts. Today's featured episode... Jason Webb: How to Leverage Your Intellectual Property Jason Webb is an intellectual property attorney and a Partner at Pearson Butler. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from BYU where he assisted in experimental laser physics and cancer research. He has deep experience in patent, trademark, and copyright law. He has successfully negotiated licensing and settlement agreements for his clients with Fortune 500 companies. Like this Podcast? Get every episode delivered to you free!  Subscribe in iTunes Download Your Free Money-Making Gift Now... "Born to Make Millions" Hypnotic Audio - Click Here Now! Please help spread the word. Subscribing and leaving a review helps others find our podcast. Thanks so much! Inc Magazine "Top 13 Business Podcasts." Conscious Millionaire Network has over 2,500 episodes and millions of listeners in 190 countries. Join us as a regular listener to get money-making secrets on how you can grow your business and profits faster! 

The world of medicine has been changing rapidly due to the increasing use of ‘big data.’ And there’s been a major revolution in this approach in neuroscience and psychiatry as well: computing power, sample sizes, neuroimaging technologies, digital approaches to phenotyping, and computational modeling all are already starting to unleash dramatic new understandings of the brain, as well as new approaches to treatment. And so the journal Neuropsychopharmacology recently published a Reviews issue on the topic of Big Data. Kerry Ressler, chief scientific officer at McLean hospital and professor of psychiatry at Harvard medical school, is one of the editors. See acast.com/privacy for privacy and opt-out information.

This week on the If You Market podcast we talk with Jason Webb about copyright and trademark protections, what can go wrong, why he left cancer research and physics to be a patent lawyer, and his personal connection to the king that started it all.  Jason Webb is a Partner and intellectual property attorney at Pearson Butler.  He has a Bachelors of Science in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research. 

Kristefer Stojanovski is human, yogi, continuous learner, and academic who aims to dismantle our current systems that do not affirm us as humans and our lives! We talk about sexual health, psychology, behavior change, health education, and....Christmas. Because yes - this episode was recorded in December 2020. Also, you can follow Kristefer on Twitter (Handle: KrisStoj)! Enjoy!  As always, thank you for the theme music @briank_williams28 BK Williams! Become a monthly supporter of the show and stream episodes online at janirad.com/podcast. Check out MedMap.US @medmapus to find a free or sliding scale medical provider in rural West Tennessee.  Jani Rad | Facilitator, Trainer, Speaker PodcasterProfessional storyteller empowering others to tell their own storywww.janirad.comIG: @janirad.me

Kristefer Stojanovski is human, yogi, continuous learner, and academic who aims to dismantle our current systems that do not affirm us as humans and our lives! We talk about sexual health, psychology, behavior change, health education, and....Christmas. Because yes - this episode was recorded in December 2020. Also, you can follow Kristefer on Twitter (Handle: KrisStoj)! Enjoy!   As always, thank you for the theme music @briank_williams28 BK Williams! Become a monthly supporter of the show and stream episodes online at janirad.com/podcast.   Check out MedMap.US @medmapus to find a free or sliding scale medical provider in rural West Tennessee.   Jani Rad | Facilitator, Trainer, Speaker Podcaster Professional storyteller empowering others to tell their own story www.janirad.com IG: @janirad.me

Welcome to Life, Camera, Action! Today my guest Jason and I will be talking all about how to get your creative ideas protected, how it works, what actually qualifies for protection, and, at the end of the day, how to evaluate what creative projects are actually worth getting protected in the first place.Jason Webb is an intellectual property attorney and a Partner at Pearson Butler. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research. Not only does he have deep experience in patent, trademark, and copyright law but he also has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies.Remember: When it comes to getting your intellectual property protected, it’s not the protection of your ideas that you’re after, it's the protection of the implementation of those ideas. Research: When you think of a piece of your project that could be protected, think about if it actually makes SENSE to protect it. What are the consequences of not getting it protected? Will that affect the project as a whole? Is that an integral component to the success of your project? If not, evaluate where else protection may be more useful. Challenge: Take inventory on what you should be pursuing protection on. Start by figuring out what it is about your brand, company, products, services and intellectual property that provides a signature feel that is unique to you. Then prioritize what the most important piece of that experience is and explore how it will be best protected.https://www.victoriaruke.com/To learn more about Jason and his services: https://www.pearsonbutler.com/jasonw@pearsonbutler.com 801-495-4104

Throughout the month of December, we are publishing a series of three podcasts produced by our sister podcast, Escape Velocity. Escape Velocity aims to capture the intersection of race, academia, and STEM, and is brought to you by the Viterbi Vice Dean of Diversity and Strategic Initiatives, Dr. Brandi Jones, and Daniel Druhora. This first episode features the stories of the USC Viterbi Vice Dean of Faculty Affairs, Dr. Timothy Pinkston, who is also the George Pfleger Chair in Electrical and Computer Engineering and Prof. of Electrical and Computer Engineering, and Prof. Stacey Finley, who is the Director of the Center for Computational Modeling of Cancer and the Gordon S. Marshall Early Career Chair and Associate Professor of Biomedical Engineering and Biological Sciences. Thank you so much to the Escape Velocity team for sharing this important conversation with us.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.10.375493v1?rss=1 Authors: Vander Roest, A. S., Liu, C., Morck, M. M., Kooiker, K. B., Jung, G., Song, D., Dawood, A., Jhingran, A., Pardon, G., Ranjbarvaziri, S., Fajardo, G., Zhao, M., Campbell, K. S., Pruitt, B., Spudich, J. A., Ruppel, K. M., Bernstein, D. Abstract: Hypertrophic cardiomyopathy (HCM) is the most common inherited form of heart disease, associated with over 1000 mutations, many in {beta}-cardiac myosin (MYH7). Molecular studies of myosin with different HCM mutations have revealed a diversity of effects on ATPase and load-sensitive rate of detachment from actin. It has been difficult to predict how such diverse molecular effects combine to influence forces at the cellular level and further influence cellular phenotypes. This study focused on the P710R mutation that dramatically decreases in vitro motility and actin-activated ATPase, in contrast to other MYH7 mutations. Optical trap measurements of single myosin molecules revealed that this mutation reduced the step size of the myosin motor and the load-sensitivity of the actin detachment rate. Conversely, this mutation destabilized the super-relaxed state in larger, two-headed myosin constructs, freeing more heads to generate force. Micropatterned hiPSC-cardiomyocytes CRISPR-edited with the P710R mutation produced significantly increased force (measured by traction force microscopy) compared with isogenic control cells. The P710R mutation also caused cardiomyocyte hypertrophy and cytoskeletal remodeling, as measured by immunostaining and electron microscopy. Cellular hypertrophy was prevented in the P710R cells by inhibition of ERK or Akt. Finally, we used a computational model that integrates measured molecular changes to demonstrate that predicted force traces match the forces measured in cells. These results confirm a key role for regulation of the super-relaxed state in driving hypercontractility in HCM and demonstrate the value of a multiscale approach in revealing key mechanisms of disease. Copy rights belong to original authors. Visit the link for more info

In this episode highlighting the Weldon School of Biomedical Engineering, we meet Elsje Pienaar, an assistant professor of biomedical engineering. We'll discuss her work to discover host-pathogen interactions through computational simulations. Professor Eljse Pienaar shares about her experience using sophisticated computational models of systems pharmacology to help predict the effectiveness of drugs in a patient with hopes of accelerating drug development and offers advice to future biomedical engieers with an interest in her area of research.  Professor Pienaar earned her MS and PhD in chemical and biomolecular engineering from the University of Nebraska-Lincoln and did postdoctoral work in microbiology, immunology and chemical engineering at the University of Michigan as well as at Linköping University, Sweden. Her laboratory uses computational simulations of within-host pathogen, immune and drug dynamics to optimize treatment of infectious diseases. Current projects in the lab include TB, HIV, non-tuberculous mycobacterial infections and Ebola virus dynamics.  Learn more by visiting Pienaar's lab website:  Computational Systems Pharmacology Lab This is one of three episodes featuring Purdue University's Weldon School of Biomedical Engineering.  Listen to more about Biomedical Engineering and other engineering topics at the Purdue Engineering podcast website.  Special thanks to Shruthi Suresh, our guest host for this podcast.  Shruthi is a PhD candidate at the Weldon School of Biomedical Engineering with a Bilsland Dissertation Fellowship and was previously a Leslie Bottorff Fellow.  Her research focuses on using signal processing, machine learning and data science to help individuals with mobility and visual impairments. When not in the lab, Shruthi can be found out on a run or curled up reading a book.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.15.298281v1?rss=1 Authors: Shevtsova, N. A., Ha, N. T., Rybak, I. A., Dougherty, K. J. Abstract: The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset of Shox2 neurons was found to contribute to generation of spinal locomotor activity. The preceding study (Ha and Dougherty, 2018) revealed the presence of bidirectional electrical coupling between these neurons in neonatal spinal cords, which can be critically involved in neuronal synchronization and generation of populational bursting. Gap junctional connections found between functionally-related Shox2 interneurons decrease with age, possibly being replaced by increasing interactions through chemical synapses. Here, we developed a computational model of a population of these neurons sparsely connected by electrical or/and chemical synapses and investigated the dependence of frequency of populational bursting on the type and strength of neuronal interconnections. The model provides important insights into the mechanisms of the locomotor rhythm generation. Copy rights belong to original authors. Visit the link for more info

This episode explores behavior in the era of digital health with our guest, Dr. Sohila Zadran. We discuss the growth of technology in healthcare and increasing access for underrepresented populations. Dr. Sohila Zadran completed her undergraduate studies in Molecular Cell Biology and Neurobiology at UC Berkeley, and her doctoral studies in Neuroscience and Neuro-engineering at the age of 23 under National Academy of Sciences member, Dr. Richard Thompson. She subsequently completed her post-doctoral fellowship in Systems Neuroscience, Bioinformatics, Computational Modeling at the California Institute of Technology as a National Institute of Health fellow. By the age of 25, Dr. Zadran had published over a dozen first-author publications in leading scientific journals in the field of genomics, cancer biology, neurobiology, systems biology, cancer stem cells, and computational modeling of cell state transitions. By the age of 30, she had founded three biotech and digital health companies. Dr. Zadran also teaches a course on Artificial Intelligence and Neural Networks at Stanford University and serves as an advisor to several biotech, digital health companies and several Silicon Valley accelerators. She has worked for leading Venture Capital firms, including Pacific Capital Hong Kong, BCG Digital Ventures, Khosla Ventures and Strawberry Creek Ventures.

About the bibliography: To receive the list of papers covered (with time-stamps), please subscribe to our mailing list. You can do so by filling this form:   https://forms.gle/jJM9dK4SufapQkey8 or by sending us an email at amindrpodcast@gmail.com List of sections in this episode: Lab techniques (1.35)New animal models (19.32)Old animal models (27.16)New cellular models (28.27)Tissue engineering (32.42)Human methodology (34.14)Computational modeling (47.48) This episode was curated and produced by a group of volunteers. As we work on producing full-length episodes on ALL the publications from June 2020, we would appreciate your feedback so we can better cater to your needs. You can fill our feedback form here: https://forms.gle/5aq2JyrT6g4P1m8v6  You can also share your thoughts and suggestions by contacting us: Email: amindrpodcast@gmail.comTwitter: @AMiNDR_podcast If you are interested in joining the team, send us your CV by email. We are specifically looking for help with abstract summary and podcast editing. However, if you are interested in helping in other ways, don't hesitate to apply anyways.  *About AMiNDR: *Learn more about this project and the team behind it by listening to our first episode: "Welcome to AMiNDR!" Our next trial episodes for the month of February 2020: Genetics, Risk Factors & New diagnostic tools, Treatments and Testing, Miscellaneous.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.06.10.143792v1?rss=1 Authors: Ahrens, A., Cuevas-Rodriguez, M., Brimijoin, W. O. Abstract: Speech intelligibility is known to be affected by the relative spatial position between target and interferers. The benefit of a spatial separation is, along with other factors, related to the head-related transfer function (HRTF). The HRTF is individually different and thus, the cues that improve speech intelligibility might also be different. In the current study an auditory model was employed to predict speech intelligibility with a variety of HRTFs. The predicted speech intelligibility was found to vary across HRTFs. Thus, individual listeners might have different access to cues that are important for speech intelligibility. Copy rights belong to original authors. Visit the link for more info

Biomedical data scientist Sylvia Plevritis is an expert in computational modeling of cancer risk and treatment options hidden in the remarkable quantity of data available today. Rarely is a tumor made up of a single mutation, she says, but more commonly of a mix of different mutations. Such heterogenous tumors may require complex combinations of drugs to produce the most effective treatments. That's where computers can help. Using mathematical simulations, Plevritis is helping patients and their doctors understand the genetic makeup of a given cancer for the purpose of identifying drug combinations that stand a better chance of success. Some of the models Plevritis works with can be run in an hour or less and yet return invaluable guidance that can save a patient's life. Plevritis says these computational approaches can even help those without cancer understand their inherent genetic risks to assess whether and when additional screening or risk-reducing interventions are warranted. Join host Russ Altman and biomedical data scientist Sylvia Plevritis as they dive into the promising intersection of computers and cancer care. You can listen to The Future of Everything on Sirius XM Insight Channel 121, iTunes, Google Play, SoundCloud, Spotify, Stitcher or via Stanford Engineering Magazine.

Show Notes: (2:04) Conor recalled his undergraduate experience studying Computational Modeling and Data Analytics at Virginia Tech. (4:07) Conor emphasized the importance of learning data structures and algorithms for interview prep. (5:57) Conor mentioned his Data Analytics internship at MasterCard after his sophomore year. (7:35) Conor talked about his involvement with the Bio-Complexity Institute at Virginia Tech as a Computational Research Intern during his junior year. (8:58) Conor talked about his process of compiling a big list of data science internship job postings that he shared last year. (12:09) Conor went over his Medium post called “Insights from Analyzing 80+ Job Rejections in Python” in which he talked about his coping mechanism towards failure. (15:20) Conor discussed his Data Science internship at Unity Technologies out in the Bay Area after his junior year. (17:22) Conor went over key lessons presented in his blog post “5 Lessons from a Data Science Intern at a Tech Unicorn.” (23:20) Conor emphasized the importance of having conversations with colleagues to challenge your assumptions. (24:54) Conor addressed the premise of his article “Minimum Viable Analysis.” (27:30) Conor discussed his job search process for a full-time data science position. (29:40) Conor talked about the projects he has been working on at his current employer - Squarespace. (32:28) Conor shared his opinions on the difference in the data science communities in New York and San Francisco. (34:32) Conor shared 3 key insights on acing data science interviews. (38:52) In reference to his article “10 Reads for DS Getting Started with Business Models”, Conor shared his advice for data scientists to get better at communicating with the business folks. (41:17) Conor talked about his part-time involvement with DataCamp to design an interactive online course for data scientists. (43:30) Conor talked about his weekly newsletter with more than 1,000 subscribers. (48:07) Conor shared his curiosity for idea sharing and development. (49:51) Closing segments. His Contact Info: Website LinkedIn Twitter Medium Github His Recommended Resources: Ted Talk: What I learned from 100 days of rejection 13 Essential Newsletters for Data Scientists Data Skeptic podcast Data Scientists are Thinkers Netflix Tech Blog Uber Engineering Blog Stitch Fix Tech Blog Facebook’s Prophet forecasting procedure Spotify’s Luigi Python module Thinking Fast and Slow

Show Notes: (2:04) Conor recalled his undergraduate experience studying Computational Modeling and Data Analytics at Virginia Tech. (4:07) Conor emphasized the importance of learning data structures and algorithms for interview prep. (5:57) Conor mentioned his Data Analytics internship at MasterCard after his sophomore year. (7:35) Conor talked about his involvement with the Bio-Complexity Institute at Virginia Tech as a Computational Research Intern during his junior year. (8:58) Conor talked about his process of compiling a big list of data science internship job postings that he shared last year. (12:09) Conor went over his Medium post called “Insights from Analyzing 80+ Job Rejections in Python” in which he talked about his coping mechanism towards failure. (15:20) Conor discussed his Data Science internship at Unity Technologies out in the Bay Area after his junior year. (17:22) Conor went over key lessons presented in his blog post “5 Lessons from a Data Science Intern at a Tech Unicorn.” (23:20) Conor emphasized the importance of having conversations with colleagues to challenge your assumptions. (24:54) Conor addressed the premise of his article “Minimum Viable Analysis.” (27:30) Conor discussed his job search process for a full-time data science position. (29:40) Conor talked about the projects he has been working on at his current employer - Squarespace. (32:28) Conor shared his opinions on the difference in the data science communities in New York and San Francisco. (34:32) Conor shared 3 key insights on acing data science interviews. (38:52) In reference to his article “10 Reads for DS Getting Started with Business Models”, Conor shared his advice for data scientists to get better at communicating with the business folks. (41:17) Conor talked about his part-time involvement with DataCamp to design an interactive online course for data scientists. (43:30) Conor talked about his weekly newsletter with more than 1,000 subscribers. (48:07) Conor shared his curiosity for idea sharing and development. (49:51) Closing segments. His Contact Info: Website LinkedIn Twitter Medium Github His Recommended Resources: Ted Talk: What I learned from 100 days of rejection 13 Essential Newsletters for Data Scientists Data Skeptic podcast Data Scientists are Thinkers Netflix Tech Blog Uber Engineering Blog Stitch Fix Tech Blog Facebook’s Prophet forecasting procedure Spotify’s Luigi Python module Thinking Fast and Slow

It’s the question of the moment Are we living in the age of AI? Or is it still just hype? When it comes to the latest research in immuno therapy, computational modeling is helping to answer key open questions, such as which patients might respond to which drugs. "If you were to ask me last year about deep learning, I would probably say, aaah, most of the algorithms that are published are not really answering the important questions yet. But I think this year I am converted. We are starting to use deep learning, and we are starting to see interesting results.”

Welcome to Conscious Millionaire, The High Performance Podcast with your Host, JV Crum III... Jason Webb is an intellectual property (IP) attorney and founder of JP Webb. He has a Bachelors degree in Applied Physics and Computational Modeling from BYU where he assisted in experimental laser physics and cancer research. He has experience in patents, trademarks, copyrights, and licensing. Are you a coach, consultant, business owner or leader who is tired of feeling stuck or you just don't know which step to take next? Get in the High Performer Lane by downloading JV's new High Performer Formula with the exact steps for your to play at the top of your game. Download it by clicking here now. Like this Podcast? Then get every episode delivered to YOU!  Subscribe in iTunes Please help spread the word. Subscribing and leaving a review helps other coaches, consultants, or business owners find our podcast…and make their big difference. They will thank you for it.   Conscious Millionaire Podcast: With over 1,000 episodes and 12 Million Listeners in 190 countries, this is the podcast for coaches, consultants and service-providers who want to get more clients, make more money, and create a bigger difference and impact. Named by Inc Magazine as one of the Top 13 Business Podcasts for 2017!

Welcome to Conscious Millionaire, The High Performance Podcast with your Host, JV Crum III... Jason Webb is an intellectual property (IP) attorney and founder of JP Webb. He has a Bachelors degree in Applied Physics and Computational Modeling from BYU where he assisted in experimental laser physics and cancer research. He has experience in patents, trademarks, copyrights, and licensing. Are you a coach, consultant, business owner or leader who is tired of feeling stuck or you just don't know which step to take next? Get in the High Performer Lane by downloading JV's new High Performer Formula with the exact steps for your to play at the top of your game. Download it by clicking here now. Like this Podcast? Then get every episode delivered to YOU!  Subscribe in iTunes Please help spread the word. Subscribing and leaving a review helps other coaches, consultants, or business owners find our podcast…and make their big difference. They will thank you for it.   Conscious Millionaire Podcast: With over 1,000 episodes and 12 Million Listeners in 190 countries, this is the podcast for coaches, consultants and service-providers who want to get more clients, make more money, and create a bigger difference and impact. Named by Inc Magazine as one of the Top 13 Business Podcasts for 2017!

Jason is an intellectual property attorney and the founder of JP Webb. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research. He has deep experience in patent, trademark, and copyright law. He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. Get the 5 proven steps to rapidly grow your business, make a bigger impact, and achieve your First Million. Attend the next LIVE First Million Webinar  with international business coach JV Crum III.  Like this Podcast? Then get every episode delivered to YOU!  Subscribe in iTunes Please help spread the word. Subscribing and leaving a review helps other business owners and entrepreneurs find our podcast…and make their big difference. They will thank you for it.   Conscious Millionaire Podcast: With over 500 episodes and 10 Million Listeners in 176 countries, this is the podcast for business owners and coaches who want to grow their businesses, make a bigger impact, and ultimately achieve their First Million! JV interviews the top entrepreneurs, experts, authors, and coaches on how to get the right mindset, develop your business systems, and execute to achieve bigger results, faster!  

Jason is an intellectual property attorney and the founder of JP Webb. He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research. He has deep experience in patent, trademark, and copyright law. He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. Get the 5 proven steps to rapidly grow your business, make a bigger impact, and achieve your First Million. Attend the next LIVE First Million Webinar  with international business coach JV Crum III.  Like this Podcast? Then get every episode delivered to YOU!  Subscribe in iTunes Please help spread the word. Subscribing and leaving a review helps other business owners and entrepreneurs find our podcast…and make their big difference. They will thank you for it.   Conscious Millionaire Podcast: With over 500 episodes and 10 Million Listeners in 176 countries, this is the podcast for business owners and coaches who want to grow their businesses, make a bigger impact, and ultimately achieve their First Million! JV interviews the top entrepreneurs, experts, authors, and coaches on how to get the right mindset, develop your business systems, and execute to achieve bigger results, faster!  

Jason is an intellectual property (IP) attorney and founder of JP Webb. He has a Bachelors degree in Applied Physics and Computational Modeling from BYU where he assisted in experimental laser physics and cancer research. He has experience in patents, trademarks, copyrights, and licensing. Get the 5 proven steps to rapidly grow your business, make a bigger impact, and achieve your First Million. Attend the next LIVE First Million Webinar  with international business coach JV Crum III.  Like this Podcast? Then get every episode delivered to YOU!  Subscribe in iTunes Please help spread the word. Subscribing and leaving a review helps other business owners and entrepreneurs find our podcast…and make their big difference. They will thank you for it.   Conscious Millionaire Podcast: With over 500 episodes and 10 Million Listeners in 176 countries, this is the podcast for business owners and coaches who want to grow their businesses, make a bigger impact, and ultimately achieve their First Million! JV interviews the top entrepreneurs, experts, authors, and coaches on how to get the right mindset, develop your business systems, and execute to achieve bigger results, faster!  

Jason is an intellectual property (IP) attorney and founder of JP Webb. He has a Bachelors degree in Applied Physics and Computational Modeling from BYU where he assisted in experimental laser physics and cancer research. He has experience in patents, trademarks, copyrights, and licensing. Get the 5 proven steps to rapidly grow your business, make a bigger impact, and achieve your First Million. Attend the next LIVE First Million Webinar  with international business coach JV Crum III.  Like this Podcast? Then get every episode delivered to YOU!  Subscribe in iTunes Please help spread the word. Subscribing and leaving a review helps other business owners and entrepreneurs find our podcast…and make their big difference. They will thank you for it.   Conscious Millionaire Podcast: With over 500 episodes and 10 Million Listeners in 176 countries, this is the podcast for business owners and coaches who want to grow their businesses, make a bigger impact, and ultimately achieve their First Million! JV interviews the top entrepreneurs, experts, authors, and coaches on how to get the right mindset, develop your business systems, and execute to achieve bigger results, faster!  

Jason Webb was such a big hit on his first visit to the show I had him back and you determined the content by sending in questions you wanted answered. Take a listen and learn, when to trademark, how to legally do a cover song, when it is ok to use a quote or a photo and when it is not and more. Plus Jason makes an offer to all my listeners that is priceless! and an added bonus you get to hear me make a mistake on air that had me so embarressed! If you are a creative, run a business, are thinking of starting a business or are active on social media you will want to listen to this episode with one of the top intellectual property attorneys in the U.S. Jason Webb is an intellectual property attorney and the founder of JP Webb.  He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research.  Mr. Webb has deep experience in patent, trademark, and copyright law.  He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. www.jpwebb.us  

Intellectual property is valuable but how do you protect yours? How do you know if you should protect it or skip it? Can you do it yourself? What is the difference between a trademark, a patent and a copyright? Does your copyright cover you all over the world? Is a copyright implied when you post on social media? What happens if someone violates your IP? How do you license your IP? Do you register your patent, trademark or copyright in your name or your business name? Know the answers to those questions? If you don't, or even if you think you do, listen in as IP attorney Jason Webb answers those questions and more. Jason Webb is an intellectual property attorney and the founder of JP Webb.  He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research.  Mr. Webb has deep experience in patent, trademark, and copyright law.  He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies.  www.jpwebb.us for free sample agreements.

For our 14th episode, Paul and Kelly sit down with Professor Stacey Finley who is a professor in the department of biomedical engineering. She shares with us her research on cancer through computational models, the new class she teaches, her background with chemical engineering, and her love of karaoke. Check it out!

Jason is an intellectual property attorney and the founder of JP Webb.  He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research.  He has deep experience in patent, trademark, and  copyright law.  He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. Inside this FREE “First Millionaire Manifesto”, J V reveals the seven steps to seven figures and how to put more money in the bank, enjoy a richly rewarding life, and make a big difference. Subscribe in iTunes Like this Podcast? Help spread the word. Subscribing and leaving a review helps other business owners and entrepreneurs find our podcast…and make their big difference. They will thank you for it.   Watch this FREE Video to discover the Secrets to getting in your zone, achieving fast results, and building a high-profit conscious business.  

Jason is an intellectual property attorney and the founder of JP Webb.  He has a Bachelors of Science degree in Applied Physics and Computational Modeling from Brigham Young University where he assisted in experimental laser physics and cancer research.  He has deep experience in patent, trademark, and  copyright law.  He has successfully negotiated licensing agreements and settlement agreements for his clients with Fortune 500 companies. Inside this FREE “First Millionaire Manifesto”, J V reveals the seven steps to seven figures and how to put more money in the bank, enjoy a richly rewarding life, and make a big difference. Subscribe in iTunes Like this Podcast? Help spread the word. Subscribing and leaving a review helps other business owners and entrepreneurs find our podcast…and make their big difference. They will thank you for it.   Watch this FREE Video to discover the Secrets to getting in your zone, achieving fast results, and building a high-profit conscious business.  

An-Dinh Nguyen interviews Hugo Geerts of In Silico Biosciences and University of Pennsylvania on February 7, 2014. Dr. Geerts will be a speaker during the Systems Pharmacology conference at Bio-IT World Conference & Expo 2014, April 29-May 1 in Boston, MA. Topics include the limitations of translating outcomes from models for clinical utility, the application of computer-based methods to pharmaceutical R&D to improve predictability of clinical trials, the complexities of researching and developing drug therapies for the central nervous system and more.

Martin Miller and Chris Sander discuss combining a drug screen and network modeling to identify a potential combination therapy for lipsarcoma.

Diomedes Logothetis and Rahul Mahajan explain how G proteins activate a potassium channel to slow heart rate.