Interested in how molecular size, topology, and interactions give rise to the unique properties of polymers? Join us tomorrow for the next Computational & Digital Health Seminar featuring Dr. Michael Rubinstein, Aleksandar S. Vesic Distinguished Professor of Chemistry, Physics,

At the Center for Computational and Digital Health Innovation, we’re advancing technology with purpose. Proud to spotlight our Associate Director of Education, Cameron Kim, who’s shaping the future of ethical digital health innovation and preparing the next generation of leaders.

So proud of the Randles Lab team for their fantastic presentations at #BMES2025—from cardiovascular digital twins and wearable-driven modeling to cellular biomechanics. Exciting to see their work pushing the boundaries of computational and digital health. #DukeBME #ProudPI

I didn’t get to post about this earlier, but I recently had the honor of giving the opening keynote at IWOMP 2025. I had such a great time talking with the MPI and OpenMP community about opportunities to bring HPC advances to health and scale vascular digital twins. #IWOMP #HPC

Exciting news! 🎉 Our work on accelerating cardiac digital twin simulations is featured in an AIP Scilight highlight. Led by Nusrat Sadia Khan, the team showed that coronary models can reach hemodynamic convergence in just 1–2 heartbeats which can dramatically reduce the cost

I had a fantastic time participating in the Duke Summit on AI for Health Innovation this week — an event that brought together incredible minds from across Duke and industry to explore how AI is transforming healthcare. I had the opportunity to lead a series of lightning talks

It’s #BMES2025! If you’re attending this year’s Biomedical Engineering Society Annual Meeting, be sure to check out the Randles Lab presentations. Our team is sharing exciting new research on: 💠 Developing and using digital twins to study heart failure 💠 Using HRV analysis

Thrilled to share that Randles Lab PhD student Aristotle Martin has been selected as an Honorable Mention for the ACM-IEEE CS George Michael Memorial HPC Fellowship! 🎉 Aristotle is developing a heterogeneous, performance-portable multiscale modeling framework that harnesses

Join us Wednesday, October 2 at 3:00 PM ET for the Virtual Seminar Series from the Center for Computational and Digital Health Innovation (CCDHI), co-hosted with the Duke Center for Quantitative Biodesign. Attendees internal or external to Duke are welcome to attend. We’re

Excited to share our new publication in the American Journal of Neuroradiology: “Photon-Counting Computed Tomography for Evaluation of Coiled Intracranial Aneurysms.” Intracranial aneurysms are commonly treated with endovascular coiling, but follow-up imaging has long relied on

Full circle: From my first HLF as a student in 2013 ➡️ to giving a talk on stage as a laureate this year. Grateful for the journey and the community that made it possible. #HLF2025

Yesterday our Center hosted the first Espresso Chat ☕ with Jeff Hammond! He shared his path from quantum chemistry to supercomputers and reminded students to lean into strengths, keep learning, and stay ahead of the curve. Favorite moment: a Valentine that read “Jeff the

We’re excited to welcome Leah Howell to the Randles Lab as a new graduate student in Biomedical Engineering! Looking forward to all the discoveries ahead—welcome to the team, Leah! #RandlesLab #bme #dukebme #dukeuniversity @dukeuniversity @DukeEngineering

A little late with the post (start of semester chaos!) but no less excited! On Aug 28, Wendy Wu officially advanced to PhD Candidacy in Biomedical Engineering! Her work on computational models of cellular mechanics is driving digital health innovation. So proud! #PhDCandidate

Excited to be speaking at the @WichitaState BME Seminar this Friday (Sept 5)! 📢 Talk: Developing and Applying Vascular Digital Twins 🕑 2:00–3:15 PM CT 🔗 Zoom: 917 2281 9947 | Pass: 438230 Exploring HPC + wearables for real-time cardiovascular health. #DigitalTwins #HPC #BME

CompHealth Corner: High-channel neural interfaces are here—but routing dense pad grids is a major hurdle. This new paper from Center for Computational and Digital Health Innovation member Jonathan Viventi introduces an efficient, automated algorithm to optimize trace paths and

Exciting news from Duke! The Duke Center for Computational and Digital Health Innovation is proud to launch the Computational and Digital Health (CDH) Certificate Program in Fall 2025. This interdisciplinary graduate certificate bridges computational modeling, AI, wearable

We’re excited to share our new publication in @npjDigitalMed : “Digital Twins for Noninvasively Measuring Predictive Markers of Right Heart Failure.” Heart failure remains one of the leading causes of mortality and hospitalization worldwide, yet current monitoring methods rely