Research

Research at the Duke Center for Computational and Digital Health Innovation is designed to achieve our guiding principle: Find, Track, and 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.

Driving Tech
Guiding Principle
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  • Genomic simulation

    Three Dimensional Genome Organization Regulated by Active Loop Extrusion

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  • Example of Harvis visualization

    Harvis: Extended Reality Interface for Immersive Vascular Visualization

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  • Simulation of the mechanical response (stress) in the arterial wall; red regions indicate higher variability

    High-Fidelity Mechanistic-Probabilistic Models of Arterial Tissues

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  • Non-Invasive Diagnostics for Coronary Artery Disease

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  • Non-Invasive Techniques to Evaluate Previously Treated Brain Aneurysms

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  • Infographic describing the research

    Wearable Infection Detection (WID) [formerly known as CovIdentify]

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  • Graph showing tracking from wearable devices.

    Diabetes Watch: Tuning Into Your Body’s Sweet Signals

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  • Workflow for Programmable Proteome Editing

    Generative Language Models to Design Protein Therapeutics

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  • Diagram of a coronary artery bifurcation with guidewire placement illustration

    Digital Twins for Bifurcation Lesion Treatment

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