🧪📚 Can virtual reality help patients recover in the ICU? New research from CCDHI Associate Director of XR Maria Gorlatova’s lab explores a VR exergame for engaging, measurable, patient-centered rehabilitation in critical care. Read more: duke.is/VRgame #VirtualReality #DigitalHealth #XR

How do you simulate cellular interactions at physiologically relevant scales? R&D World highlights our research on Adaptive Physics Refinement, a framework that preserves cellular detail where it matters most while enabling larger vascular simulations. duke.is/rdworld #HPC #CancerResearch

How a Duke-led HPC method improved cell-scale cancer simulation

Researchers at Duke University created a physics-based technique that can capture a how a cancer cell moves through a blood vessel.

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For decades, computational models have helped explain experimental observations. My latest guest column in Drug Discovery Online explores how computational mechanics is changing drug discovery: duke.is/ddo #DrugDiscovery #HPC

The Changing Role Of Computational Mechanics In Drug Discovery

Computational models will never replace experimental biology, but their emerging role is different.

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Our inaugural CCDHI Code+ team wrapped up an incredible summer! Together with Duke OIT, they helped build PULSE, our new wearable research platform. Coming soon: fitness tracking, Duke Rec integration, PulsePets, and more. Huge thanks to Alexis, Steven, and an amazing student team!

🧪📚 CCDHI CompHealth Corner: Can we better predict stroke risk in atrial fibrillation? A new study from researchers including CCDHI's Schuyler Jones and Manesh Patel shows that adding routine clinical data to standard risk scores significantly improves prediction of stroke and major bleeding.

Excited for #PEARC2026 in Minneapolis! I'll be giving Tuesday's keynote on how HPC is enabling trajectory-based science and digital twins for personalized healthcare. I'm also looking forward to meeting students interested in HPC, AI, and biomedical engineering!

🧪Making cardiovascular digital twins more accessible starts with reducing reliance on invasive pressure measurements. Randles Lab BME PhD student Guinevere Ferreira will present her latest work on pressure scaling for cardiovascular digital twins at #EMBC2026 on Wednesday. Join us!

From K-ville to Full Professor. I came to Duke as an undergraduate, left for a few years, and was fortunate to return as faculty. Grateful to the mentors, trainees, colleagues, collaborators, and family who have supported me throughout this journey.

This week's CompHealth Corner highlights our latest work on APR-AD. Proud of this collaboration with Aristotle Martin, William Ladd, and Runxin Wu, advancing tissue-scale simulations of circulating tumor cells and cancer transport. Paper: comphealth.duke.edu/publications...

Excited to share our new perspective in IEEE Computing in Science & Engineering! Co-authored with Ewa Deelman, Jack Dongarra, Bruce Hendrickson, Daniel Reed, Edward Seidel, and Katherine Yelick, we revisit the Lax Report and the future of HPC. www.computer.org/csdl/magazin...

🧪 Pleased to have authored the accompanying editorial in the New England Journal of Medicine discussing the scientific foundations behind two clinical trials evaluating computationally enabled physiological assessment for coronary artery disease. duke.is/nejm

Physiological Assessment of Coronary Artery Disease | NEJM

The author describes the scientific foundations of two trials comparing how noninvasive and invasive assessments of fractional flow reserve affect clinical outcomes.

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Busy week for the Randles Lab! After presenting at ICCS 2026, Ayman Yousef is heading to PASC 2026 to present our paper, GPU Halo Replay, by Ayman Yousef, Aristotle Martin, and Amanda Randles. If you're at PASC, stop by and say hello! #PASC2026 #HPC #RandlesLab

The Randles Lab is heading to Hamburg for ICCS 2026! We'll be presenting research on longitudinal cardiovascular digital twins, AI-enabled HPC simulation workflows, and multiscale cancer modeling. Looking forward to great discussions—come say hello if you're attending! #ICCS2026 #HPC #DigitalTwins

One of my favorite sessions at #ISC2026 was on AI and the HPC-edge continuum in digital twin workflows with Peter Coveney and Anuj Kapadia. Digital twins aren't just simulation problems. They're workflow problems requiring VVUQ, data management, orchestration, provenance, automation, and physics.

Excited to speak today at #ISC2026's A2SD Workshop! I'll be presenting "Chronophysiomics: Autonomous Discovery Through Longitudinal Digital Twins," exploring how AI, HPC, wearable data, and physics-based simulation can enable trustworthy autonomous scientific discovery and predictive healthcare.

Weather forecasting transformed how we respond to storms. What if we could do the same for human health? Looking forward to my #ISC26 keynote on HPC for vascular digital twins, chronophysiomics, and the path toward forecasting disease before symptoms appear.

Loved discussing how HPC and AI are helping make healthcare digital twins a reality. From modeling blood flow in patient-specific vascular networks to studying physiology across millions of heartbeats, we're working toward proactive healthcare. www.scientific-computing.com/article/scw7...

Wentao Ma and I (Duke U), with Xuning Zhao and Mauro Rodriguez Jr. (Brown U), are co-organizing the mini-symposium “Computational Hemodynamics and Cardiovascular Mechanics” at the USNC-TAM26. Dr. Ma will present new work on scalable cardiovascular flow simulation in compliant vessels.

Congratulations to Randles Lab Ph.D. student Nusrat Sadia Khan on receiving Duke University's Outstanding Teaching Assistant Award! 🎉 Recognized for her exceptional teaching, mentorship, and dedication to student success in BME 307: Transport Phenomena in Biological Systems. #DukeBME

📚 CompHealth Corner A new Lancet Digital Health Viewpoint co-authored by CCDHI Associate Director of Wearables Jessilyn Dunn explores health data commercialization, transparency, privacy, and patient trust. An important read for responsible digital health. comphealth.duke.edu/publications...

📚 CCDHI CompHealth Corner How small are epilepsy-related brain signals? Researchers, including CCDHI members Jonathan Viventi and Gregory B. Cogan, found high-density microelectrodes detected 14× more HFOs, with 93% missed by standard electrodes. comphealth.duke.edu/publications...

Honored to be recognized as part of the inaugural SCW75 by Scientific Computing World — celebrating leaders shaping the future of scientific computing across HPC, AI, simulation and research infrastructure. #SCW75 #ScientificComputing #HPC #AI #ResearchComputing #Simulation

📚 CCDHI CompHealth Corner: A new study from Jessilyn Dunn’s lab, published in Nature Health, used Fitbit + All of Us data to study daylight saving time. The work highlighted how wearable data can reveal impacts of public policy on behavior. → Read more: comphealth.duke.edu/publications...

📚 CCDHI CompHealth Corner this week features our review on circulatory digital twins in Nature Reviews Bioengineering. Read more: comphealth.duke.edu/publications...

CCDHI Graduate Highlight 🎓 Celebrating Sarah Eom and her work in AR, IoT, and healthcare innovation from Duke to Exponent. 💙

Celebrating Perisa Ashar from the Duke Center for Computational and Digital Health Innovation and @drjessilyn.bsky.social ’s BIG IDEAs Lab. NSF GRFP → Georgia Tech 🎓💙

Behind the scenes at Duke Chapel before the hooding ceremony begins 🎓 A few Duke BME faculty members waiting together for the graduates to arrive. Always one of the most rewarding days of the year celebrating the hard work, perseverance, and accomplishments of our students.

Celebrating Dr. Cyrus Tanade and Dr. Aristotle Martin and their lasting impact on the Randles Lab. Wishing them continued success! 🎓

🧪We’re moving from describing physiology to predicting it. Our new Nature Reviews Bioengineering article explores circulatory digital twins and how they can help anticipate disease and tailor care to each patient. Led by Wendy Wu and an incredible team. Read more: doi.org/10.1038/s442...

Digital twins and digital models of the human circulatory system - Nature Reviews Bioengineering

Digital twins of the human circulatory system aim to integrate real-time physiological data with computational models to understand, monitor and treat cardiovascular and haematological diseases. This ...

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🧪Join us for a virtual seminar with Pengfei Song, Associate Professor at Duke University. Discover how super-resolution ultrasound is transforming microvascular imaging and advancing disease understanding. April 30 | 3–4 PM | Virtual Register via QR code