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At the Duke Center for Computational and Digital Health Innovation, we are transforming the way diseases are detected and enabling clinicians to identify health challenges earlier. Early detection improves patient outcomes by providing opportunities for interventions before conditions become severe.
 
We focus on advancing methods for fast and precise diagnosis by blending cutting-edge technologies with innovative approaches. For example, by identifying novel biomarkers from sensor data, we can uncover early disease indicators that traditional methods may miss. Personalized and data-driven strategies — combining wearable sensors with high performance computing and digital twin simulations — not only enhance our ability to find diseases earlier but also improve diagnostic precision, enabling clinicians to act with confidence.
 
The Center’s interdisciplinary efforts unite engineering, computational science, and clinical expertise. Together, we are laying the foundation for a future where early and accurate detection reshapes healthcare.

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  • Diagram of a coronary artery bifurcation with guidewire placement illustration

    Digital Twins for Bifurcation Lesion Treatment

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  • Diagram illustrating parallel cell simulation with data exchange and ownership transfer.

    Scaling Fluid Simulations on Leadership Class Supercomputers

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