Duke Center for Computational and Digital Health Innovation

Revolutionizing healthcare by advancing the frontiers of technology

Who We Are

Our research seeks to find health challenges, track disease progression, and develop treatments.

Find
Track
Treat

We apply our enabling technologies across a broad spectrum of disease areas—from cardiology to neurology and peripheral arterial disease—to improve diagnosis, monitoring, and therapeutic outcomes.

Upcoming Events

Upcoming Events

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Latest News

Podcast: The Future of Medicine: How Digital Twins Can Predict Your Health

In this season 3 episode 9 of Katy Hansell: The Impact Whisperer® podcast, Creator/ Host Katy Hansell sits down with Professor Amanda Randles, Director of the Duke Center for Computational and Digital Health Innovation and Professor of Biomedical Engineering at Duke University, to explore how supercomputing, AI, and digital twins are transforming healthcare from reactive…
Read More Podcast: The Future of Medicine: How Digital Twins Can Predict Your Health
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Letter from the Director

Welcome to the Duke Center for Computational and Digital Health Innovation. Our Center is an exciting new home for interdisciplinary research, education, and innovation at the intersection of technology and healthcare.

At the heart of our mission is the principle of “Find, Track, Treat.” We are committed to discovering new ways to detect health issues early, continuously track disease progression, and develop personalized, impactful treatments that improve patient outcomes. Through our comprehensive scope, we are uniquely positioned to solve pressing health challenges.

Read the Letter
Mission Statement
Our Team

Amanda Randles, Ph.D.

Director

Find

Detect emerging health issues through wearable technology and advanced analytics for earlier and more precise diagnosis.

Our latest “Find” projects

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Track

Develop better monitoring through AI, digital twins, and advanced sensors for more personalized care.

Our latest “Track” projects

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Development of a Pipeline for Transitioning Wearable and Non-Wearable Data to a Centralized Storage, Analysis and Downstream Applied Research Platform

The Luck Lab developed an integrated data framework that links youth athletes’ reported activity and exposure with wearable head-impact kinematics to improve the ability to find, track, and treat mild traumatic brain injury.
Read More Development of a Pipeline for Transitioning Wearable and Non-Wearable Data to a Centralized Storage, Analysis and Downstream Applied Research Platform

Treat

Improve treatment by integrating extended reality and digital twins with physics-based modeling and AI for better outcomes.

Our latest “Treat” projects

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