Amanda Randles 🧪⚛️ 👩‍🔬

Excited to share a new Communications of the ACM article highlighting our work on vascular digital twins—using millions of simulated heartbeats and wearable data to help predict heart issues long before symptoms appear. 🔗https://duke.is/cacm25

Join us tomorrow for Dr. Michael Rubinstein’s virtual talk, “The Loops of Life.” Explore how molecular size, topology, and interactions shape polymers.

Register: duke.qualtrics.com/jfe/form/SV_...

@dukeengineering.bsky.social @dukeubme.bsky.social

At the Center for Computational and Digital Health Innovation, we’re advancing technology with purpose.
Proud to spotlight Cameron Kim, who’s shaping the future of ethical digital health innovation and preparing the next generation of leaders.
comphealth.duke.edu/featured-res...

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 a great time talking with the MPI and OpenMP community about opportunities to bring HPC advances to health and scale vascular digital twins. #HPC #OpenMP #MPI #DigitalTwins

Taking the pulse on less computationally intensive cardiac digital twins Highly detailed simulations of the coronary artery only need one to two heartbeats to calibrate, rather than the standard five-plus

Led by Nusrat Sadia Khan, our team showed that cardiac digital twins can reach hemodynamic convergence in just 1–2 heartbeats, cutting computational costs and enabling real-time, scalable cardiovascular modeling.

Scilight: www.aip.org/scilights/ta...

Paper: pubs.aip.org/aip/pof/arti...

Great to join the 2nd Annual Duke Summit on AI for Health Innovation, hosted by @dukeaihealth.bsky.social, the Center for Computational and Digital Health Innovation, and DCRI.

Exciting discussions on AI, digital twins, and the future of healthcare. #AIforHealth #DigitalHealth #HPC #Innovation

It’s #BMES2025! The Randles Lab is sharing new work on digital twins for heart failure, HRV-based model reduction, cellular heterogeneity, and APR modeling of RBC–cancer interactions. Stop by the Duke booth to learn about our Center for Computational and Digital Health Innovation! #DigitalHealth

Aristotle Martin Receives Honorable Mention for 2025 George Michael Memorial HPC Fellowship - Center for Computational and Digital Health Innovation Congratulations to Center member Aristotle Martin on receiving an honorable mention for the 2025 ACM-IEEE CS George Michael Memorial HPC Fellowships. The George Michael Memorial Fellowship honors exce...

Congrats to Randles Lab PhD student Aristotle Martin on being named an Honorable Mention for the ACM-IEEE CS George Michael Memorial HPC Fellowship! A well-deserved recognition of his innovative cancer cell modeling research—proud to see him celebrated.

comphealth.duke.edu/news/aristot...

Thanks for having me! Had such a great time discussing HPC in Health with this community.

Join us Wed, Oct 2 @ 3 PM ET for the Center for Computational and Digital Health Innovation + Duke Quantitative Biodesign Virtual Seminar! Fabian Theis (Helmholtz Munich/TUM) will speak on “Decoding cellular systems.” All welcome. Register: duke.qualtrics.com/jfe/form/SV_...

🧪Our new work in AJNR: Photon-counting CT + iMAR offers clear, non-invasive imaging of coiled intracranial aneurysms—showing promise as an alternative to invasive angiography.

Collab led by Brian Mac Grory with David Urick, Fides Schwartz, David Hasan & Evan Calabrese
🔗 www.ajnr.org/content/earl...

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 #HPC and reminded students to lean into strengths, keep learning, and stay ahead of the curve. Favorite moment: a Valentine that read “Jeff the Scientist.” #CareerJourney

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

🧪👩‍🔬Congrats to Wendy Wu on advancing to PhD Candidacy in Biomedical Engineering! Her work on computational models of cellular mechanics is pushing forward digital health innovation. Proud PI moment (yes, I was the one taking pics mid-exam). #WomenInSTEM #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

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 #CCDHI member Jonathan Viventi introduces an efficient, automated algorithm to optimize trace paths and layer count in thin-film devices. #Neuroengineering #HCI

Wow, thanks so much for the support and sharing! I’m really excited about the new initiative.

Launching Fall 2025: Duke’s Computational & Digital Health Certificate 🎓 Training future leaders at the intersection of AI, modeling, wearables & ethics. Learn more: duke.is/certificate #DigitalHealth #AI @dukeengineering.bsky.social

New in npj Digital Medicine: Our proof-of-concept digital twins predict pulmonary pressures noninvasively, offering a path to earlier detection & better care for right heart failure. duke.is/hf

Center Names Associate Directors  - Center for Computational and Digital Health Innovation The Duke Center for Computational and Digital Health Innovation welcomes our new Associate Directors to its leadership team. The Associate Directors will help expand and strengthen our research and ed...

“Great teams embrace the fact that the strength of the team is the team.”–Coach K
At the Duke Center for Computational and Digital Health Innovation, collaboration drives impact. We’re excited to welcome our new Associate Directors, who will strengthen our research and education missions.
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CompHealth Corner: What Are We Reading?
📘 Paper from Center researcher Jonathan Viventi in the Journal of Neural Engineering: a deepest-exit-first algorithm for routing dense pad grids in thin-film neural interfaces—solving a key bottleneck in scaling next-gen implants.
#Neurotech #AI 🧪

Fun new wall art from LLNL :) still figuring out where to put it but it’s pretty cool. (And yes those are part of my #SC jacket collection below. We all have SC clothes in our offices right?) #hpc #scivis #artofhpc

🧪 When doctors track heart disease, they need scans over time—but aligning them is tough, tedious, and subjective. We built an algorithm that automates alignment, saving time and effort.

Read more 👉 duke.is/align24

@dukeengineering.bsky.social #research #comphealth #CCDHI #cardiovascular

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 #SciencePolicy

Dr. John Hickey, our co-Associate Director of AI, 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: comphealth.duke.edu/featured-res...

Added some new personal touches to the office to kick off the new year :) as part of my sabbatical this year, we took the kids to Australia (yes I questioned the long flight too :)) and I thought I would add some pics to my office. Do you have family artwork or custom mousepads in your office?

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.

🧪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-c... #DigitalHealth #AI #Bioengineering