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DTSTART;TZID=America/Halifax:20260923T150000
DTEND;TZID=America/Halifax:20260923T160000
DTSTAMP:20260916T200616Z
CREATED:20260904T162510Z
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SUMMARY:Virtual Seminar with Rishi Kamaleswaran: "Forecasting Patient Trajectories: Leveraging Irregularly Sampled\, Multimodal Time-Series for Clinical Foundation Models"
DESCRIPTION:Zoom link: https://duke.is/CompHealthSept2026Seminar \nAbstract\nAs in-patient environments generate vast amounts of heterogeneous data\, ranging from continuous physiological telemetry to sparsely sampled medical imaging\, there is a profound opportunity to translate this information into actionable clinical foresight. This talk will focus on the development of novel foundation models and transformer architectures designed to handle the temporal complexities of longitudinal hospital data. I will present three recent frameworks developed by our group: Clin-JEPA\, which leverages a joint-embedding architecture to forecast complex EHR patient trajectories without the need for per-task fine-tuning; CardioFM\, a multimodal foundation model pretrained on over 500\,000 hours of physiological data that provides unified representations for advanced tasks like non-invasive hemodynamic trending; and CXR-TFT\, which fuses irregular\, sparse chest X-rays with high-frequency clinical measurements to predict emerging lung pathologies before they are radiographically visible. Attendees will learn how these sophisticated temporal models overcome data sparsity and modality fragmentation to provide a predictive\, “whole-patient” view of hospitalized patients across the acuity spectrum.\n\nSpeaker Bio\nDr. Rishikesan Kamaleswaran is an Associate Professor at the Duke University School of Medicine\, holding a primary appointment in the Department of Surgery and secondary appointments in Anesthesiology\, Biomedical Engineering\, Electrical and Computer Engineering\, and Biostatistics and Bioinformatics. He also serves as the Director of Data Science and the Director of the Data Science and Informatics Module for the Duke Clinical & Translational Science Institute. Dr. Kamaleswaran earned his Ph.D. in Computer Science from the University of Ontario Institute of Technology. His biomedical data science research program develops advanced machine learning architectures\, multi-modal clinical data fusion\, and time-series foundation models for critical care and high-acuity medicine. He serves as Principal Investigator on several major NIH R01 projects and is a Fellow of the Association for Clinical and Translational Science.
URL:https://comphealth.duke.edu/event/virtual-seminar-with-rishi-kamaleswaran-forecasting-patient-trajectories-leveraging-irregularly-sampled-multimodal-time-series-for-clinical-foundation-models/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2026/09/Headshot-Kamaleswaran-e1788539188201.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20260824T160000
DTEND;TZID=America/Halifax:20260824T170000
DTSTAMP:20260813T151129Z
CREATED:20260813T151129Z
LAST-MODIFIED:20260813T151129Z
UID:10000040-1787587200-1787590800@comphealth.duke.edu
SUMMARY:Community of Practice: Duke REVS – Digital Health Info Session
DESCRIPTION:Location: Wilkinson 017\n534 Research Dr.
URL:https://comphealth.duke.edu/event/community-of-practice-duke-revs-digital-health-info-session/
CATEGORIES:Communities of Practice
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/09/pexels-fauxels-3182768-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260430T150000
DTEND;TZID=America/New_York:20260430T160000
DTSTAMP:20260409T135454Z
CREATED:20260113T152312Z
LAST-MODIFIED:20260409T135454Z
UID:10000035-1777561200-1777564800@comphealth.duke.edu
SUMMARY:Virtual Seminar with Pengfei Song: "A New Era of Microvascular Imaging With Super-Resolution Ultrasound Imaging"
DESCRIPTION:Register \nAbout the Speaker\nPengfei Song\, PhD is an Associate Professor of Biomedical Engineering at Duke University. He was previously an Associate Professor and Y.T. Lo Faculty Fellow at the Department of Electrical and Computer Engineering of the University of Illinois Urbana-Champaign. Dr. Song conducted both his PhD and postdoctoral training under the supervision of Drs. James Greenleaf and Shigao Chen at Mayo Clinic. His research interests include ultrafast ultrasound imaging\, super-resolution ultrasound\, functional ultrasound\, 3D ultrasound imaging\, deep learning\, and ultrasound shear wave elastography. \nDr. Song has published over 100 peer-reviewed journal papers in the domain of ultrasound imaging. He holds several patents that have been licensed and commercialized by major ultrasound companies and used worldwide in the clinic. Dr. Song has delivered over 30 invited presentations. He has been regularly selected to the List of Teachers Ranked as Excellent by Their Students for his teaching career. \nDr. Song is a recipient of the NIH K99/R00 Pathway to Independence Award\, the NSF CAREER Award\, the NIBIB Trailblazer Award\, the IEEE Ultrasonics Early Career Investigator Award\, the Chan Zuckerberg Initiative (CZ) Early Career Acceleration Award\, and the Campus Distinguished Promotion Award. His research program has been continuously funded by federal agencies including NIH\, DOD CDMRP\, NSF\, and ARPA-H. He is an elected Fellow of the American Institute of Ultrasound in Medicine (AIUM)\, a Senior Member of the National Academy of Inventors (NAI)\, a Senior Member of IEEE\, and a Full Member of the Acoustical Society of America (ASA). \nAbout Virtual Seminars\nOur Virtual Seminar Series is a monthly event spotlighting the latest innovations in computational and digital health. Each session features engaging talks from world-class researchers—including both Duke-affiliated experts and invited speakers from across academia\, industry\, and healthcare.
URL:https://comphealth.duke.edu/event/virtual-seminar-pengfei-song/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2026/01/1437349.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260416T123000
DTEND;TZID=UTC:20260416T130000
DTSTAMP:20260409T134927Z
CREATED:20260409T134833Z
LAST-MODIFIED:20260409T134927Z
UID:10000039-1776342600-1776344400@comphealth.duke.edu
SUMMARY:Espresso Chat with Christopher Cheng\, Ph.D.
DESCRIPTION:WHERE: Wilkinson Auditorium\, 021 \nLimited to a small group — registration required. \nRegister \nAbout the Speaker\nChristopher Cheng\, Ph.D.\, is Executive Chairman\, Medres Group; President\, VIBE Solutions LLC; Adjunct Professor of Surgery\, Stanford University; and President\, Cardiovascular Implant Durability. \nAbout Espresso Chats\nEspresso Chats are informal\, 30-minute virtual conversations designed to connect students directly with alumni\, industry professionals\, and thought leaders in digital health. \nThere’s no formal presentation—just candid conversation about careers\, innovation\, and lessons learned. With small group sizes and a cap on attendance\, each session stays personal and interactive\, giving participants the chance to ask questions and gain insights you won’t find in a classroom or textbook. \nHow it works: \n\nSessions are held virtually for easy access from anywhere\nAttendance is capped to keep discussions intimate\nNo slides—just open\, honest dialogue\nTopics range from breaking into digital health careers to navigating innovation and leadership challenges\n\nRegistration is first-come\, first-served\, so keep an eye on emails and newsletters for upcoming sessions. These spots go quickly—sign up early to secure yours! \nWhether you’re exploring your career path or seeking real-world perspective from experts in the field\, Espresso Chats are your chance to grab a quick dose of insight and inspiration.
URL:https://comphealth.duke.edu/event/espresso-chat-with-christopher-cheng-ph-d/
CATEGORIES:Espresso Chats
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2026/04/christopher-cheng-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260416T113000
DTEND;TZID=UTC:20260416T123000
DTSTAMP:20260409T135005Z
CREATED:20260406T115400Z
LAST-MODIFIED:20260409T135005Z
UID:10000038-1776339000-1776342600@comphealth.duke.edu
SUMMARY:Special In-Person Event: Dr. Christopher Cheng “From Vascular Motion to Medical Device Innovation\, and a Few Tips for Entrepreneurs"
DESCRIPTION:Speaker: Dr. Christopher Cheng\nExecutive Chairman\, Medres Group; President\, VIBE Solutions LLC; Adjunct Professor of Surgery\, Stanford University; President\, Cardiovascular Implant Durability \nTalk Title: “From Vascular Motion to Medical Device Innovation\, and a Few Tips for Entrepreneurs” \nWhere: Wilkinson Auditorium\, 021 \nRegister \nAbstract\nThe human body is a dynamic environment\, yet we often study it in a static state.  For example\, nearly all medical imaging is done with patients lying immobile on their backs.  However\, blood vessels experience pulsatile forces from heart beats\, displacements from breathing\, and deformations from musculoskeletal motion.  This talk will focus on a few examples of blood vessels and how understanding their motions have led to improvements in medical device development and patient care.  In addition\, I’ll share some of the top lessons I’ve learned as an entrepreneur. \nSpeaker Bio\nDr. Christopher Cheng is an entrepreneur\, executive\, professor\, and author specializing in medical device development and cardiovascular biomechanics research.  Within medical devices\, his experience spans design\, manufacturing\, preclinical testing\, clinical trials\, and marketing\, including being co-founder and CEO of Kōli\, Inc.\, a company developing a catheter-based solution for gallstone disease.  He was also CEO of Global Science & Technology\, an aerospace government contractor focused on satellite remote sensing for earth science\, and sold it in Sep 2025.  Dr. Cheng is currently President of VIBE Solutions\, Adjunct Professor of Surgery at Stanford\, Director of the Vascular Intervention Biomechanics & Engineering Lab (Stanford VIBE Lab)\, Executive Chairman of Medres Group\, and President of CardioVascular Implant Durability (CVID)\, a non-profit leading the effort to improve durability of cardiovascular devices.  He has authored over 100 publications\, edited Handbook of Vascular Motion (PROSE Book Award Nominee)\, and is the preeminent expert in quantifying vascular motion.  Dr. Cheng is a board member of several commercial and non-profit organizations\, including the Duke University Pratt School of Engineering.
URL:https://comphealth.duke.edu/event/special-in-person-event-dr-christopher-cheng-from-vascular-motion-to-medical-device-innovation-and-a-few-tips-for-entrepreneurs/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2026/04/christopher-cheng-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260318T150000
DTEND;TZID=America/New_York:20260318T160000
DTSTAMP:20260305T200228Z
CREATED:20260113T151955Z
LAST-MODIFIED:20260305T200228Z
UID:10000034-1773846000-1773849600@comphealth.duke.edu
SUMMARY:Virtual Seminar with Dan Ma: "Quantitative MRI and Physics-informed Pan-Contrast Al"
DESCRIPTION:Register \nSeminar Abstract\nThis talk will present recent advances in quantitative MRI and physics-based image synthesis as a foundation for pan-contrast AI. I will describe how qMR parameter mapping enables reproducible tissue property characterization and how signal modeling and simulation can be used to synthesize clinically meaningful contrasts from a single\, short MR scan. These synthetic images can be used to train contrast-agnostic AI models that are more generalizable and robust for downstream tasks\, such as segmentation\, detection and treatment planning. \nSpeaker Bio\nDan Ma\, PhD\, is an Associate Professor of Neurosurgery and Biomedical Engineering at Duke University. Her research focuses on quantitative MRI across acquisition\, reconstruction\, and analysis\, with clinical applications in neurological diseases\, pediatric imaging\, cancer imaging. She is a Senior Member of the National Academy of Inventors\, a Junior Fellow of the International Society for Magnetic Resonance in Medicine (ISMRM)\, and a recipient of the ISMRM I. I. Rabi Young Investigator Award. \nAbout Virtual Seminars\nOur Virtual Seminar Series is a monthly event spotlighting the latest innovations in computational and digital health. Each session features engaging talks from world-class researchers—including both Duke-affiliated experts and invited speakers from across academia\, industry\, and healthcare.
URL:https://comphealth.duke.edu/event/virtual-seminar-dan-ma/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2026/01/1444297.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T150000
DTEND;TZID=America/New_York:20260226T153000
DTSTAMP:20260201T145147Z
CREATED:20260113T152826Z
LAST-MODIFIED:20260201T145147Z
UID:10000037-1772118000-1772119800@comphealth.duke.edu
SUMMARY:Espresso Chat: Ron Alfa
DESCRIPTION:Register \nSpeaker Biography: Ron Alfa is a physician-scientist at the forefront of leveraging technology to tackle unmet therapeutic needs in medicine. He is Co-Founder and CEO of NOETIK\, a next-generation precision oncology company using multimodal foundation models pre-trained on large-scale human tumor data to discover cancer therapeutics. Prior to founding Noetik\, Ron was Senior Vice President\, Head of Research\, and acting-CSO at Recursion\, where he led the company’s scientific organizations and portfolio strategy. At Recursion\, he led portfolio and platform builds across rare disease\, neuroscience\, oncology\, and immunology\, and was responsible for advancing multiple therapeutic programs from discovery to clinical development. Ron holds an MD and PhD from Stanford University School of Medicine\, where he completed his doctoral work in Neuroscience\, and has an MA in History of Medicine from UCL. \nAbout Espresso Chats\nEspresso Chats are informal\, 30-minute virtual conversations designed to connect students directly with alumni\, industry professionals\, and thought leaders in digital health. \nThere’s no formal presentation—just candid conversation about careers\, innovation\, and lessons learned. With small group sizes and a cap on attendance\, each session stays personal and interactive\, giving participants the chance to ask questions and gain insights you won’t find in a classroom or textbook. \nHow it works: \n\nSessions are held virtually for easy access from anywhere\nAttendance is capped to keep discussions intimate\nNo slides—just open\, honest dialogue\nTopics range from breaking into digital health careers to navigating innovation and leadership challenges\n\nRegistration is first-come\, first-served\, so keep an eye on emails and newsletters for upcoming sessions. These spots go quickly—sign up early to secure yours! \nWhether you’re exploring your career path or seeking real-world perspective from experts in the field\, Espresso Chats are your chance to grab a quick dose of insight and inspiration.
URL:https://comphealth.duke.edu/event/espresso-chat-ron-alfa/
CATEGORIES:Espresso Chats
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/08/pexels-tyler-nix-1259808-2396220.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260219T140000
DTEND;TZID=America/New_York:20260219T150000
DTSTAMP:20260212T142442Z
CREATED:20260113T151655Z
LAST-MODIFIED:20260212T142442Z
UID:10000033-1771509600-1771513200@comphealth.duke.edu
SUMMARY:Boyuan Chen Virtual Seminar: "Discovery Machines: From Pixels to Physics"
DESCRIPTION:  \nRegister (registration required) \nSeminar Abstract\nWhat if a machine could watch a video and write down the equations of motion? I’ll discuss our recent work toward this goal — systems that learn to discover the hidden state variables and governing dynamics directly from raw visual data. These discovered Neural State Variables and Neural State Vector Fields not only reproduce trajectories but also reveal the structure of these dynamical systems: equilibrium\, stability\, and chaos. The results suggest a path toward a self-driven AI scientist.\nSpeaker Bio\n\nDr. Boyuan Chen is the Dickinson Family Assistant Professor at Duke University\, where he directs the General Robotics Lab. He is affiliated with the Departments of Mechanical Engineering and Materials Science\, Electrical and Computer Engineering\, and Computer Science. He also serves as the Strategic Advisor for Robotics and Autonomy in the Dean’s Office at Duke’s Pratt School of Engineering. \nDr. Chen received his Ph.D. in Computer Science from Columbia University in 2022. Dr. Chen received his Ph.D. in Computer Science from Columbia University in 2022. His research focuses on building Discovery Machines — machines that learn\, act\, and collaborate by discovering how the world works. His lab develops the arc of Embodied Intelligence in which machines sense through multiple modalities\, adapt by discovering and designing their own bodies and capabilities\, and connect by understanding how humans and other machines think and act. By taking a full-stack approach that spans both the “body” and “brain” of intelligent systems\, his group advances robotics\, artificial intelligence\, human–AI teaming\, and AI for scientific discovery. Inspired by natural intelligence in humans and animals\, his work explores new frontiers in adaptive\, multimodal\, and interactive autonomy. \nDr. Chen was named to ASME’s Watch List in 2025. His work has received numerous media reports and has been featured in outlets such as the New York Times\, Forbes\, Fox\, Fortune\, Science\, and the National Science Foundation. His research has been published in top-tier venues including Science Robotics\, Nature Computational Science\, NeurIPS\, ICRA\, and CoRL. \n\nAbout Virtual Seminars\nOur Virtual Seminar Series is a monthly event spotlighting the latest innovations in computational and digital health. Each session features engaging talks from world-class researchers—including both Duke-affiliated experts and invited speakers from across academia\, industry\, and healthcare.
URL:https://comphealth.duke.edu/event/virtual-seminar-boyuan-chen/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/Boyuan-Chen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260129T150000
DTEND;TZID=America/New_York:20260129T153000
DTSTAMP:20260120T151551Z
CREATED:20260113T152557Z
LAST-MODIFIED:20260120T151551Z
UID:10000036-1769698800-1769700600@comphealth.duke.edu
SUMMARY:Espresso Chat: Gina Lee
DESCRIPTION:About Espresso Chats\nEspresso Chats are informal\, 30-minute virtual conversations designed to connect students directly with alumni\, industry professionals\, and thought leaders in digital health. \nThere’s no formal presentation—just candid conversation about careers\, innovation\, and lessons learned. With small group sizes and a cap on attendance\, each session stays personal and interactive\, giving participants the chance to ask questions and gain insights you won’t find in a classroom or textbook. \nHow it works: \n\nSessions are held virtually for easy access from anywhere\nAttendance is capped to keep discussions intimate\nNo slides—just open\, honest dialogue\nTopics range from breaking into digital health careers to navigating innovation and leadership challenges\n\nRegistration is first-come\, first-served\, so keep an eye on emails and newsletters for upcoming sessions. These spots go quickly—sign up early to secure yours! \nWhether you’re exploring your career path or seeking real-world perspective from experts in the field\, Espresso Chats are your chance to grab a quick dose of insight and inspiration.
URL:https://comphealth.duke.edu/event/espresso-chat-gina-lee-2/
CATEGORIES:Espresso Chats
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/08/pexels-tyler-nix-1259808-2396220.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260121T150000
DTEND;TZID=America/New_York:20260121T160000
DTSTAMP:20260120T151510Z
CREATED:20260113T151122Z
LAST-MODIFIED:20260120T151510Z
UID:10000032-1769007600-1769011200@comphealth.duke.edu
SUMMARY:Responsible Use of Large Language Models in Healthcare
DESCRIPTION:Speaker: Monica Agrawal \nREGISTER: https://duke.qualtrics.com/jfe/form/SV_0OinoHO2fuBaSA6 \nSpeaker Bio and Abstract\nSpeaker Biography: Dr. Monica Agrawal is an assistant professor at Duke University\, jointly appointed between the Department of Biostatistics and Bioinformatics and the Department of Computer Science. Her research tackles diverse challenges including real-world evaluation of large language models in medicine\, smarter electronic health records\, and human-AI interaction. She has been named a Duke Whitehead Scholar\, a Rising Star in EECS\, and a finalist for the AMIA Doctoral Dissertation award. Dr. Agrawal earned her PhD in Computer Science at MIT in 2023 and is also a co-founder of Layer Health. \nAbstract: Language is embedded across medicine\, from clinical notes to medical literature to patient communication. Natural language processing\, and particularly large language models\, can help us to reimagine how we process and communicate this clinical text\, which could have transformative effects for the practice of medicine. This talk will discuss open challenges\, opportunities and solutions for NLP to accelerate clinical discovery for researchers\, streamline workflows at the point-of-care for physicians\, and improve the accessibility of health information for patients. First\, I will discuss scalable techniques for clinical information extraction that leverage large language models. Next\, I will describe a paradigm for smarter electronic health records that decreases documentation burden\, incentivizes the creation of high-quality data at the point-of-care\, and aids in proactive information retrieval. This will include a discussion of the difficulties of evaluating generative AI deployments in medicine. Finally\, I will discuss our work studying how patients may be using large language models to access health information and advice\, and the opportunities and pitfalls of doing so.
URL:https://comphealth.duke.edu/event/virtual-seminar-monica-agrawal/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/monica-agrawal.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260120T120000
DTEND;TZID=America/New_York:20260120T130000
DTSTAMP:20260120T151337Z
CREATED:20260109T190949Z
LAST-MODIFIED:20260120T151337Z
UID:10000031-1768910400-1768914000@comphealth.duke.edu
SUMMARY:CoP #4: DHI Certificate Kickoff & Chats
DESCRIPTION:Location: Bseisu Cafe \nAbout Communities of Practice\nCommunities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees\, clinicians\, and faculty\, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants\, from students to industry partners\, to explore emerging technologies\, share perspectives\, and consider the ethical and societal dimensions of the field. \nThrough interactive activities like short research talks\, written reflections\, and public engagement projects\, participants not only build technical and communication skills but also expand their professional networks. CoPs meet several times each year\, offering opportunities to dive into timely topics such as algorithmic bias\, wearable technologies\, and secure data use\, while fostering the collaborative and ethical capacities essential for leadership in digital health.
URL:https://comphealth.duke.edu/event/cop-4-dhi-certificate-kickoff-chats/
CATEGORIES:Communities of Practice
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/09/pexels-fauxels-3182768-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251212T113000
DTEND;TZID=UTC:20251212T133000
DTSTAMP:20251114T135036Z
CREATED:20251114T135036Z
LAST-MODIFIED:20251114T135036Z
UID:10000030-1765539000-1765546200@comphealth.duke.edu
SUMMARY:Health Data Science Poster Showcase
DESCRIPTION:Duke AI Health\, in partnership with Duke Health and the Pratt School of Engineering\, will be hosting the Health Data Science Poster Showcase on Friday\, December 12\, from 11:30 AM to 1:30 PM at Duke’s Fitzpatrick Center for Interdisciplinary Engineering\, Medicine and Applied Sciences (FCIEMAS) Atrium\, Ground Level. No registration is needed for this event\, which is free and open to the public. We encourage everyone to come by and catch a glimpse of some of the innovative ideas in health data science percolating at Duke!
URL:https://comphealth.duke.edu/event/health-data-science-poster-showcase/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251204T090000
DTEND;TZID=UTC:20251204T100000
DTSTAMP:20251215T135401Z
CREATED:20250808T144842Z
LAST-MODIFIED:20251215T135401Z
UID:10000017-1764838800-1764842400@comphealth.duke.edu
SUMMARY:Fast and Efficient AI
DESCRIPTION:Speaker: Dr. Yang You \nRegister \nSpeaker Bio\nYang You\, Ph.D. \nYang You is a Presidential Young Professor at the National University of Singapore. He is on an early career track at NUS for exceptional young academic talents with great potential to excel. He received his PhD in Computer Science from UC Berkeley. His advisor is Prof. James Demmel\, who was the former chair of the Computer Science Division and EECS Department. Yang You’s research interests include Parallel/Distributed Algorithms\, High Performance Computing\, and Machine Learning. The focus of his current research is scaling up deep neural networks training on distributed systems or supercomputers. In 2017\, his team broke the world record of ImageNet training speed. In 2019\, his team broke the world record of BERT training speed. The BERT training techniques have been used by many tech giants like Google\, Microsoft\, and NVIDIA. Yang You’s LARS and LAMB optimizers are available in industry benchmark MLPerf. He is a winner of IPDPS 2015 Best Paper Award (0.8%)\, ICPP 2018 Best Paper Award (0.3%)\, AAAI 2023 Distinguished Paper Award (0.14%)\, ACL 2023 Outstanding Paper Award (0.8%)\, and ACM/IEEE George Michael HPC Fellowship. Yang You is a Siebel Scholar and a winner of Lotfi A. Zadeh Prize. Yang You was nominated by UC Berkeley for ACM Doctoral Dissertation Award (2 out of 81 Berkeley EECS PhD students graduated in 2020). He made Forbes 30 Under 30 Asia list (2021) and Forbes 100 Most Influential Chinese (2023). He also won IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing. For more information\, please check his lab’s homepage at https://ai.comp.nus.edu.sg/
URL:https://comphealth.duke.edu/event/fast-and-efficient-ai/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2025/08/youy.png
LOCATION:https://comphealth.duke.edu/event/fast-and-efficient-ai/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251203T150000
DTEND;TZID=UTC:20251203T153000
DTSTAMP:20250813T113319Z
CREATED:20250813T113319Z
LAST-MODIFIED:20250813T113319Z
UID:10000022-1764774000-1764775800@comphealth.duke.edu
SUMMARY:Espresso Chat: Gina Lee
DESCRIPTION:Espresso Chats are informal\, 30-minute virtual conversations designed to connect students directly with alumni\, industry professionals\, and thought leaders in digital health. \nThere’s no formal presentation—just candid conversation about careers\, innovation\, and lessons learned. With small group sizes and a cap on attendance\, each session stays personal and interactive\, giving participants the chance to ask questions and gain insights you won’t find in a classroom or textbook. \nHow it works: \n\nSessions are held virtually for easy access from anywhere\nAttendance is capped to keep discussions intimate\nNo slides—just open\, honest dialogue\nTopics range from breaking into digital health careers to navigating innovation and leadership challenges\n\nRegistration is first-come\, first-served\, so keep an eye on emails and newsletters for upcoming sessions. These spots go quickly—sign up early to secure yours! \nWhether you’re exploring your career path or seeking real-world perspective from experts in the field\, Espresso Chats are your chance to grab a quick dose of insight and inspiration.
URL:https://comphealth.duke.edu/event/espresso-chat-gina-lee/
CATEGORIES:Espresso Chats
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/08/pexels-tyler-nix-1259808-2396220.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251202T120000
DTEND;TZID=UTC:20251202T130000
DTSTAMP:20250917T191444Z
CREATED:20250917T191444Z
LAST-MODIFIED:20250917T191444Z
UID:10000029-1764676800-1764680400@comphealth.duke.edu
SUMMARY:CoP #3: What Tools Do I Use for CDH Research? (and What Tools Should I Really Be Using?)
DESCRIPTION:Location to be announced. \nAbout Communities of Practice\nCommunities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees\, clinicians\, and faculty\, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants\, from students to industry partners\, to explore emerging technologies\, share perspectives\, and consider the ethical and societal dimensions of the field. \nThrough interactive activities like short research talks\, written reflections\, and public engagement projects\, participants not only build technical and communication skills but also expand their professional networks. CoPs meet several times each year\, offering opportunities to dive into timely topics such as algorithmic bias\, wearable technologies\, and secure data use\, while fostering the collaborative and ethical capacities essential for leadership in digital health.
URL:https://comphealth.duke.edu/event/cop-3-what-tools-do-i-use-for-cdh-research-and-what-tools-should-i-really-be-using/
CATEGORIES:Communities of Practice
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/09/pexels-fauxels-3182768-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251106T150000
DTEND;TZID=UTC:20251106T160000
DTSTAMP:20251215T140343Z
CREATED:20250808T145651Z
LAST-MODIFIED:20251215T140343Z
UID:10000019-1762441200-1762444800@comphealth.duke.edu
SUMMARY:The Loops of Life
DESCRIPTION:Speaker: Dr. Michael Rubinstein \nRegister \nSpeaker Bio\nMichael Rubinstein received a B.S. from Caltech in 1979 and a Ph.D. in physics from Harvard University in 1983. After two years as a post-doc at AT&T Bell Laboratories\, he joined the Research Laboratories of Eastman Kodak Company\, where he worked for 10 years. In 1995\, Michael Rubinstein started his academic career at the University of North Carolina at Chapel Hill\, and in 2018\, he moved to Duke University\, where he is currently Aleksander S. Vesic Distinguished Professor of Departments of Mechanical Engineering and Materials Science\, Biomedical Engineering\, Physics\, and Chemistry.  In 2016\, Rubinstein became a Distinguished Professor at Hokkaido University. In 2003\, he published a textbook\, “Polymer Physics\,” with R. H. Colby. In 2010\, he received the Polymer Physics Prize of the American Physical Society. In 2018\, he received the Bingham Medal of the Society of Rheology\, and in 2019\, the Soft Matter and Biophysical Chemistry Award of the Royal Society of Chemistry. In 2025\, he received the ACS Award in Polymer Chemistry. Rubinstein is currently serving as the Chair of the IUPAP Working Group on Soft Matter and the Soft Matter Association of the Americas. He is a fellow of the American Physical Society\, American Chemical Society\, Society of Rheology\, and the Royal Society of Chemistry.
URL:https://comphealth.duke.edu/event/the-loops-of-life/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/MR_2015_large-Michael-Rubinstein.jpeg
LOCATION:https://comphealth.duke.edu/event/the-loops-of-life/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251104T120000
DTEND;TZID=UTC:20251104T130000
DTSTAMP:20250917T191306Z
CREATED:20250917T191306Z
LAST-MODIFIED:20250917T191306Z
UID:10000028-1762257600-1762261200@comphealth.duke.edu
SUMMARY:CoP #2: What Do We Do When Technology Fails or Lies to Us?
DESCRIPTION:Location to be announced. \nAbout Communities of Practice\nCommunities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees\, clinicians\, and faculty\, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants\, from students to industry partners\, to explore emerging technologies\, share perspectives\, and consider the ethical and societal dimensions of the field. \nThrough interactive activities like short research talks\, written reflections\, and public engagement projects\, participants not only build technical and communication skills but also expand their professional networks. CoPs meet several times each year\, offering opportunities to dive into timely topics such as algorithmic bias\, wearable technologies\, and secure data use\, while fostering the collaborative and ethical capacities essential for leadership in digital health.
URL:https://comphealth.duke.edu/event/cop-2-what-do-we-do-when-technology-fails-or-lies-to-us/
CATEGORIES:Communities of Practice
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/09/pexels-fauxels-3182768-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251009T150000
DTEND;TZID=UTC:20251009T153000
DTSTAMP:20250813T113151Z
CREATED:20250813T113151Z
LAST-MODIFIED:20250813T113151Z
UID:10000021-1760022000-1760023800@comphealth.duke.edu
SUMMARY:Espresso Chat: Ankit Gupta
DESCRIPTION:Espresso Chats are informal\, 30-minute virtual conversations designed to connect students directly with alumni\, industry professionals\, and thought leaders in digital health. \nThere’s no formal presentation—just candid conversation about careers\, innovation\, and lessons learned. With small group sizes and a cap on attendance\, each session stays personal and interactive\, giving participants the chance to ask questions and gain insights you won’t find in a classroom or textbook. \nHow it works: \n\nSessions are held virtually for easy access from anywhere\nAttendance is capped to keep discussions intimate\nNo slides—just open\, honest dialogue\nTopics range from breaking into digital health careers to navigating innovation and leadership challenges\n\nRegistration is first-come\, first-served\, so keep an eye on emails and newsletters for upcoming sessions. These spots go quickly—sign up early to secure yours! \nWhether you’re exploring your career path or seeking real-world perspective from experts in the field\, Espresso Chats are your chance to grab a quick dose of insight and inspiration.
URL:https://comphealth.duke.edu/event/espresso-chat-ankit-gupta/
CATEGORIES:Espresso Chats
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/08/pexels-tyler-nix-1259808-2396220.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251008
DTEND;VALUE=DATE:20251010
DTSTAMP:20250914T122517Z
CREATED:20250914T122407Z
LAST-MODIFIED:20250914T122517Z
UID:10000025-1759881600-1760054399@comphealth.duke.edu
SUMMARY:Second Annual Duke Summit on AI for Health Innovation
DESCRIPTION:The Duke Summit on AI for Health Innovation is open to healthcare professionals\, industry leaders\, and business professionals\, including faculty\, students\, and staff from Duke and other academic institutions. The Duke Center for Computational and Digital Health Innovation is a sponsor of the event. Please join us! \nEvent Highlights\n\nCross-Disciplinary Collaboration: Engage with a diverse community\, including students\, industry\, academia\, and government.\nNetworking Opportunities: Connect with industry partners\, venture capitalists\, and startups to discuss the future of AI in healthcare.\nReal-World AI Applications: Discover how AI is shaping research\, innovation\, and commercialization in health tech.\nStructured Breakout Tables: Engage in meaningful discussions and tangible takeaways by joining breakout sessions centered around key research challenges.\nBuilding on 2024’s Success: This year’s event builds on the momentum of last year’s sold-out Summit. Explore highlights from the 2024 event— explore the 2024 Summit Impact Report which offers detailed feedback from over a quarter of the event’s nearly 100 participants.\n\nLearn more and register.
URL:https://comphealth.duke.edu/event/second-annual-duke-summit-on-ai-for-health-innovation/
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/09/pic-DukeAISummit-horz-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251002T150000
DTEND;TZID=UTC:20251002T160000
DTSTAMP:20250926T195314Z
CREATED:20250916T172944Z
LAST-MODIFIED:20250926T195314Z
UID:10000026-1759417200-1759420800@comphealth.duke.edu
SUMMARY:Decoding Cellular Systems: From Observational Atlases to Generative Interventions
DESCRIPTION:Speaker: Dr. Fabian Theis \nRegister \nSpeaker Bio\nFabian Theis is a pioneer in biomedical artificial intelligence and machine learning\, advancing in particular the field of single-cell and spatial omics. His work focuses on developing scalable inference methods and foundation models to integrate multimodal data across biological scales\, enabling deeper insights into cellular decision-making and tissue organization. As a key contributor to the Human Cell Atlas\, he drives innovations in AI-powered cell state modeling\, unraveling cellular heterogeneity in health and disease. His lab develops widely used computational tools that set new standards in the field\, shaping the future of data-driven precision medicine.
URL:https://comphealth.duke.edu/event/dr-fabian-theis/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2025/09/Fabian-Theis-copy.png
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250930T120000
DTEND;TZID=UTC:20250930T130000
DTSTAMP:20250930T140313Z
CREATED:20250917T190411Z
LAST-MODIFIED:20250930T140313Z
UID:10000027-1759233600-1759237200@comphealth.duke.edu
SUMMARY:POSTPONED: CoP #1: What Does Computational and Digital Health Innovation Research Mean to You?
DESCRIPTION:Rescheduling details to come. \nAbout Communities of Practice\nCommunities of Practice (CoPs) are at the heart of the Computational and Digital Health Innovation Certificate. Open to trainees\, clinicians\, and faculty\, CoPs provide a space for conversation and reflection on the present and future of computational and digital health innovation. These gatherings bring together diverse participants\, from students to industry partners\, to explore emerging technologies\, share perspectives\, and consider the ethical and societal dimensions of the field. \nThrough interactive activities like short research talks\, written reflections\, and public engagement projects\, participants not only build technical and communication skills but also expand their professional networks. CoPs meet several times each year\, offering opportunities to dive into timely topics such as algorithmic bias\, wearable technologies\, and secure data use\, while fostering the collaborative and ethical capacities essential for leadership in digital health.
URL:https://comphealth.duke.edu/event/what-does-computational-and-digital-health-innovation-research-mean-to-you/
CATEGORIES:Communities of Practice
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/09/pexels-fauxels-3182768-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250925T130000
DTEND;TZID=UTC:20250925T160000
DTSTAMP:20250914T121917Z
CREATED:20250914T121618Z
LAST-MODIFIED:20250914T121917Z
UID:10000024-1758805200-1758816000@comphealth.duke.edu
SUMMARY:13T Lab Open Lab Day
DESCRIPTION:Visit the IT lab and see the latest in Extended Reality (XR) research and technology. Experience seven XR demonstrations\, including a fetch game with a robot dog\, loT-powered rehabilitation\, Al-driven obstruction prevention for XR\, and more-all while learning about XR’s effects on perception and attention. Snacks will be provided\, and researchers will be present for discussion. \nThursday Sept. 25th • 1-4 pm • Wilkinson Building 443 \nDuke Intelligent Interactive Internet of Things (I3T) Lab is dedicated to creating human-facing pervasive mobile computing platforms that enable fundamentally novel transformative applications. \nOur key research areas are: \n\nEdge- and loT-enabled intelligent AR platforms\nIntelligent MR in healthcare applications\nMulti-agent and human-robot AR\nHuman-centered AR evaluation\n\nContact information: Maria Gorlatova\, maria.gorlatova@duke.edu \nWebsite: https://gorlatova.pratt.duke.edu
URL:https://comphealth.duke.edu/event/13t-lab-open-lab-day/
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2025/09/Screenshot-2025-09-14-at-8.14.50-AM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250911T090000
DTEND;TZID=UTC:20250911T093000
DTSTAMP:20250826T150754Z
CREATED:20250826T150754Z
LAST-MODIFIED:20250826T150754Z
UID:10000023-1757581200-1757583000@comphealth.duke.edu
SUMMARY:Espresso Chat: Jeff Hammond from NVIDIA
DESCRIPTION:About the Speaker\nJeff Hammond is a principal software engineer at NVIDIA. \nAbout Espresso Chats\nEspresso Chats are informal\, 30-minute virtual conversations designed to connect students directly with alumni\, industry professionals\, and thought leaders in digital health. \nThere’s no formal presentation—just candid conversation about careers\, innovation\, and lessons learned. With small group sizes and a cap on attendance\, each session stays personal and interactive\, giving participants the chance to ask questions and gain insights you won’t find in a classroom or textbook. \nHow it works: \n\nSessions are held virtually for easy access from anywhere\nAttendance is capped to keep discussions intimate\nNo slides—just open\, honest dialogue\nTopics range from breaking into digital health careers to navigating innovation and leadership challenges\n\nRegistration is first-come\, first-served\, so keep an eye on emails and newsletters for upcoming sessions. These spots go quickly—sign up early to secure yours! \nWhether you’re exploring your career path or seeking real-world perspective from experts in the field\, Espresso Chats are your chance to grab a quick dose of insight and inspiration.
URL:https://comphealth.duke.edu/event/espresso-chat-jeff-hammond-from-nvidia/
CATEGORIES:Espresso Chats
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/08/pexels-tyler-nix-1259808-2396220.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250904T150000
DTEND;TZID=UTC:20250904T160000
DTSTAMP:20251113T132049Z
CREATED:20250808T145351Z
LAST-MODIFIED:20251113T132049Z
UID:10000018-1756998000-1757001600@comphealth.duke.edu
SUMMARY:From Code to Cell: Bridging Spatial Omics\, Machine Learning\,   and Cell Engineering
DESCRIPTION:Speaker: Dr. John Hickey \nAbstract: Advancements in single-cell multiplexed imaging coupled with sophisticated computational algorithms have greatly augmented our views into complex tissue microenvironments. In this seminar\, I will present the approaches we have developed to deconstruct intricate tissue datasets and connect them across scales from molecular to multicell modules. Particularly\, I will share a story how we analyzed melanomas treated with effective and ineffective T cell therapies. \nSpeaker Biography: John is an Assistant Professor of Biomedical Engineering at Duke University with secondary appointments in the Cell Biology and Biostatistics & Bioinformatics Departments of the School of Medicine. His lab is composed of a diverse set of engineers and scientists solving health problems by using and developing systems biology tools and technologies to describe and control spatial relationships between cells in tissues. John has been recognized by a number of organizations for his work including receiving: Human Science Frontiers Award\, NSF CAREER\, American Cancer Society Postdoctoral Fellowship\, NCI Postdoctoral Fellowship\, ARCS Scholar\, Siebel Scholar\, and NSF Graduate Research Fellowship. 
URL:https://comphealth.duke.edu/event/from-code-to-cell-bridging-spatial-omics-machine-learning-and-cell-engineering/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/John-Hickey.jpg
LOCATION:https://comphealth.duke.edu/event/from-code-to-cell-bridging-spatial-omics-machine-learning-and-cell-engineering/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250416T140000
DTEND;TZID=UTC:20250416T150000
DTSTAMP:20251113T131711Z
CREATED:20250211T184356Z
LAST-MODIFIED:20251113T131711Z
UID:10000015-1744812000-1744815600@comphealth.duke.edu
SUMMARY:A Machine Learning Framework for Arterial Health Classification using Ultrasound Vibrometry Data
DESCRIPTION:Speaker: Wilkins Aquino
URL:https://comphealth.duke.edu/event/a-machine-learning-framework-for-arterial-health-classification-using-ultrasound-vibrometry-data/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/Wilkins-Aquino.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250326T140000
DTEND;TZID=UTC:20250326T150000
DTSTAMP:20251113T131835Z
CREATED:20250211T184246Z
LAST-MODIFIED:20251113T131835Z
UID:10000014-1742997600-1743001200@comphealth.duke.edu
SUMMARY:Integrating Digital Health Technologies into Telehealth and Emerging Patient Care Models
DESCRIPTION:Speaker: Ryan Shaw
URL:https://comphealth.duke.edu/event/integrating-digital-health-technologies-into-telehealth-and-emerging-patient-care-models/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/Ryan-Headshot-2024.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250219T140000
DTEND;TZID=UTC:20250219T150000
DTSTAMP:20251113T131936Z
CREATED:20250211T184002Z
LAST-MODIFIED:20251113T131936Z
UID:10000013-1739973600-1739977200@comphealth.duke.edu
SUMMARY:Systems Biomedicine & Pharmaceutics Multiscale Modeling of Tissue Remodeling\, Damage\, and Treatments
DESCRIPTION:Speaker: Ashlee N. Ford Versypt\, Ph.D. \nDr. Ford Versypt earned a B.S. from the University of Oklahoma and an M.S. and a Ph.D. from the University of Illinois\, all in Chemical Engineering. She did her postdoc at MIT. She started her academic career at Oklahoma State University before joining the University at Buffalo as a tenured associate professor in January 2021. Dr. Ford Versypt leads the Systems Biomedicine and Pharmaceutics Laboratory. She has received a number of awards for her research\, teaching\, and service including the NSF CAREER Award\, ASEE Chemical Engineering Division Fahien Award\, and AIChE CAST Division Himmelblau Award for Innovations in Computer-Based Chemical Engineering Education. Her research program is funded by the NSF\, NIH R35 MIRA\, and others.
URL:https://comphealth.duke.edu/event/systems-biomedicine-pharmaceutics-multiscale-modeling-of-tissue-remodeling-damage-and-treatments/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2025/02/ford-versypt.png
LOCATION:https://duke.zoom.us/j/96330901918#success
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250115T140000
DTEND;TZID=UTC:20250115T150000
DTSTAMP:20250131T183555Z
CREATED:20250119T153734Z
LAST-MODIFIED:20250131T183555Z
UID:10000006-1736949600-1736953200@comphealth.duke.edu
SUMMARY:Digital Twins in Healthcare: Using Advanced Modeling to Shift from Reactive to Proactive Care
DESCRIPTION:In healthcare\, the emergence of digital twin technology marks a transformative step towards proactive medical care. Digital twins\, which are detailed virtual models of individual human physiological systems\, are reshaping how medical professionals predict\, diagnose\, and treat various health conditions. In her talk\, Amanda Randles discusses how the specific application of these models can create personalized simulations of the vascular system. These simulations allow for the precise analysis of blood flow and the noninvasive assessment of vascular diseases such as stenosis\, offering a significant leap in both diagnostics and pre-surgical planning.
URL:https://comphealth.duke.edu/event/digital-twins-in-healthcare-using-advanced-modeling-to-shift-from-reactive-to-proactive-care/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/png:https://comphealth.duke.edu/wp-content/uploads/2025/01/circle_randles-400x400-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241120T140000
DTEND;TZID=UTC:20241120T150000
DTSTAMP:20250131T183402Z
CREATED:20250120T140021Z
LAST-MODIFIED:20250131T183402Z
UID:10000007-1732111200-1732114800@comphealth.duke.edu
SUMMARY:The Digital Physiome: Wearables for Disease Detection and Monitoring
DESCRIPTION:Dr. Jessilyn Dunn is Assistant Professor of Biomedical Engineering and Biostatistics & Bioinformatics at Duke University\, and Director of the BIG IDEAs Laboratory whose goal is to detect\, treat\, and prevent chronic and acute diseases through digital health innovation. She is currently PI of the BARDA-funded CovIdentify study to detect and monitor respiratory infections like COVID-19 using mobile health technologies\, and an NIH-funded study to develop digital biomarkers of pre- and type 2 diabetes. She also leads the DBDP\, an open-source software platform for digital biomarker development. Dr. Dunn was an NIH Big Data to Knowledge (BD2K) Postdoctoral Fellow at Stanford and an NSF Graduate Research Fellow at Georgia Tech and Emory\, as well as a visiting scholar at the US Centers for Disease Control and Prevention and the National Cardiovascular Research Institute in Madrid\, Spain. Her work has been internationally recognized with media coverage from the NIH Director’s Blog to Wired\, Time\, and US News and World Report. \n\n 
URL:https://comphealth.duke.edu/event/the-digital-physiome-wearables-for-disease-detection-and-monitoring/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/jessilyn-dunn-400x400-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240926T100000
DTEND;TZID=UTC:20240926T110000
DTSTAMP:20250122T153956Z
CREATED:20250120T140625Z
LAST-MODIFIED:20250122T153956Z
UID:10000008-1727344800-1727348400@comphealth.duke.edu
SUMMARY:Edge an IoT-supported Intelligent and Augmented Reality: Promise\, Challenges\, and Solutions
DESCRIPTION:Professor Maria Gorlatova discusses mobile augmented reality (AR)\, which integrates virtual objects with 3D real environments in real time. AR is broadly expected to redefine how we interact with technology and the world around us. Yet current AR falls short of many of the expectations. Gorlatova presents a vision of multi-device\, edge computing-supported and Internet-of-Things (IoT)-integrated platforms for next-generation intelligent context-aware AR.
URL:https://comphealth.duke.edu/event/edge-an-iot-supported-intelligent-and-augmented-reality-promise-challenges-and-solutions/
CATEGORIES:Virtual Seminars
ATTACH;FMTTYPE=image/jpeg:https://comphealth.duke.edu/wp-content/uploads/2025/01/Maria-Gorlatova-400x400-1.jpg
END:VEVENT
END:VCALENDAR