Track

Research at the Duke Center for Computational and Digital Health Innovation empowers clinicians to more precisely track the progression of diseases. Our projects enhance the ability to monitor health remotely and in real-time, uniting high performance computing and cutting-edge technologies to provide more accurate, efficient, and actionable insights into patient conditions.
 
With improved remote monitoring, we enable clinicians to stay connected to patient health, reducing delays and challenges. The Center’s projects leverage innovative approaches such as digital twins and new sensors to identify and track emerging biomarkers.
 
Together, these initiatives aim to revolutionize how diseases are monitored, providing clinicians with the tools to dynamically adjust treatment strategies and improve outcomes for patients.
 

1-5 of 5 results
  • Genomic simulation

    Three Dimensional Genome Organization Regulated by Active Loop Extrusion

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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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  • Use of the Adaptive Physics Refinement (APR) model within an upper body vasculature enables up to 4 orders of magnitude increase in total simulated fluid volume accessible to cellular resolution.

    Adaptive Physics Refinement

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