Amanda Randles Elected to AIMBE College of Fellows
Membership in the AIMBE College of Fellows represents the selective top 2% of medical and biological engineers.
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The importance of continuous physiological monitoring
In the first of a two-part interview, Amanda Randles, director of the Duke Center for Computational and Digital Health Innovation, explains why duration matters.
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Q&A: Duke’s Amanda Randles, Ph.D., on the Future of Digital Twin Innovation
Randles’ lab is focused on creating large-scale digital twins to aid in early diagnostics of disease.
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Visit Duke CompHealth at Discover Engineering @ Duke
Join us on Saturday, April 11, from 1:00 – 4:00 p.m. at the inaugural “Discover Engineering @ Duke – Imagine. Build. Belong.”
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HLF Laureate Portraits: Amanda Randles
The Heidelberg Laureate Forum Foundation presents the HLF Laureate Portraits: Amanda Randles, ACM Prize in Computing 2023.
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Inside the Sony Women in Technology Award with Nature: A Conversation with Recipient-Turned-Judge, Dr. Amanda Randles
Amanda Randles reflects on her research, her experience with the award, and what it will take to move ideas from simulation into everyday clinical care.
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How digital twins are pioneering a new era of personalized, longitudinal healthcare
Center Director Amanda Randles explains how they are developing digital twins to move medicine beyond static snapshots to dynamic, personalized care.
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Dr. Islam Receives the 2026 Postdoctoral Professional Development Award
Dr. Shekh Md Mahmudul Islam, Ph.D., from BIG IDEAs Lab has been selected to receive the 2026 Postdoctoral Professional Development Award in support of his proposal to the IEEE International MTT Symposia (IMS) 2026, which will be held in Boston this June.
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Amanda Randles on HPC and the Future of Vascular Digital Twins
HPCwire recently sat down with Center Director Amanda Randles to learn what she has been building behind the scenes, from the data and software infrastructure needed to combine wearable health data, medical imaging, and simulation to the practical challenges of running and analyzing vascular digital twins at scale. Read the article
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Randles Lab at Duke University Announces HARVEY, a High-Fidelity Cardiovascular Digital Twin Engine Built for Extreme-Scale Simulation
HARVEY enables image-based, physics-driven modeling of blood flow from large arteries down to microcirculation, at computational scales previously unattainable for biomedical simulation.
