At our Center, we working to improve cardiovascular care with the Longitudinal Hemodynamic Mapping Framework—combining wearables + #HPC to simulate millions of heartbeats in real time. Watch the video or read the blog to see how digital twins are reshaping heart health. 🔗

As Research Paper Chair for ISC25—alongside my stellar Vice Chair, Hatem Ltaief proud to have helped shape a truly exceptional research program this year. Huge thanks to all contributors, reviewers, and track chairs for making #ISC25 one of the best yet. Under Torsten Hoefler 🇨🇭's

Computational & Digital Health Ideas Evolve Quickly! Our latest monthly research roundup is live — featuring: • High-speed 4D fluorescence light-field tomography of live organisms • Deep active learning strategies for accelerating drug discovery • AI-driven glioblastoma

You thought digital twins were only for rockets and turbines… but here’s one for single cells! 🚀🔬 In our new paper, Microfluidic Digital Twin for Enhanced Single-cell Analysis, we created a virtual replica of a mechano-node-pore sensing (mechano-NPS) device to predict &

🔔 New publication alert. Follow a single tumor cell’s adhesive dance on endothelium without the cost of fully resolved models! Our GPU-accelerated moving APR approach cuts computational costs for submicron precision in adhesive dynamics. comphealth.duke.edu/publications/a… #HPC #Cancer

📚 What should you be reading this week? #CompHealthCorner “Enhancing robustness in ML-accelerated molecular dynamics” presents a probabilistic SROM to capture uncertainties in MD—applied to sodium thiophosphate batteries. From Center member Johann Guilleminot. 👉

Learn about work being done at Duke's new Center for Computational and Digital Health Innovation using AI, XR, wearables, and HPC to improve how doctor's find, track, and treat human disease. Research highlighted from Center members: Dr. Maria Gorlatova Jessilyn Dunn Monical

🚀 Meet Dr. Monica Agrawal—Trailblazer at the Duke Center for Computational and Digital Health Innovation! We’re thrilled to welcome Monica to our Center family. With her unique blend of cutting-edge technical prowess and a relentless passion for translating research into

🎙️ It was so much fun joining Science in Parallel! We talked about how HPC-driven blood-flow simulations and wearable data can transform heart health monitoring. Listen now → duke.is/podcast25

Latest from CompHealth Corner: What should you be reading this weekend? As our Center is featuring Monica Agrawal this week (comphealth.duke.edu/featured-resea…), here’s a timely #ICML2025 position paper she co-authored: "Position: Retrieval-augmented systems can be dangerous medical

From smartwatches to digital biomarkers: Dr. Jessilyn Dunn turns wearable data + AI into early disease warnings. Explore her vision for scalable, proactive care in our latest Q&A. duke.is/r/cu5s #DigitalHealth #Wearables #AI

Exercise is a proven cardioprotective intervention, yet the precise hemodynamic shifts during sustained activity remain poorly understood. In our paper, “Hemodynamics comparison of an hour-long rest and activity state data in a human coronary digital twin,” we paired a

CompHealth Corner: Read Center member Jessilyn Dunn’s DBDP-autonomic paper—an open-source toolkit to process & analyze ANS signals from wearables. Data insights: pmc.ncbi.nlm.nih.gov/articles/PMC11… #DigitalHealth #WearableTech #OpenScience

CompHealth Corner: What Are We Reading? As populations age and the nursing workforce shrinks, how can we ensure equitable, high-quality care continues to reach those who need it? This week, we’re reading: “Physical Artificial Intelligence in Nursing: Robotics” 🧠 Published in

Oops—July’s #CompHealthCorner is a few days late (I was traveling)! Catch up on key papers in ML-driven MD, RAG in medicine, open-source ANS tools, and award-winning cancer simulations. Don’t miss these breakthroughs! 👉 comphealth.duke.edu/comphealth-cor… #DigitalHealth #AI #Bioengineering

How can AI in healthcare reduce bias instead of reinforcing it? This week’s #CompHealthCorner spotlights a new Nursing Outlook article by Ben Goldstein and colleagues on HUMAINE—a team‑developed curriculum to equip nurse scientists in AI, bias mitigation, and equity.

🏆Congratulations to Dr. Amanda Randles (Randles Lab), winner of the Sony Women in Technology Award from Sony Group - Global & nature for her groundbreaking “digital twin” tech integrating wearables + computational models to personalize cardiovascular care. 📅 Hear more at npj

Dr. John Hickey, PhD—our co-Associate Director of AI & Assistant Professor—is pioneering AI-empowered systems biology to advance spatial cell therapies. His award-winning work marries engineering, immunology & computation to shape the future of personalized medicine. Read more:

CompHealthCorner: HPC powers today’s AI, science, and innovation—but U.S. leadership is at risk. This Science article urges a bold, whole-nation roadmap to secure the future of high-performance computing. A must-read for anyone in tech policy. #CompHealthCorner #HPC #AI

CompHealth Corner: What Are We Reading? 📘 Efficient, Automated Escape Routing for High-Density Pad Grids 👨‍💻 Published in Journal of Neural Engineering As neural interfaces scale into the thousands of channels, designing compact, implantable devices becomes increasingly complex.