Treat

At the Duke Center for Computational and Digital Health Innovation, we strive to transform treatments to achieve better patient outcomes.
Through the integration of extended reality and personalized digital twins with data, physics-based modeling, and AI, we simulate and refine treatment strategies within virtual environments before applying them to real-world scenarios.

Our approach helps ensure that interventions are both effective and tailored to the unique needs of each patient. The results range from optimizing treatment and intervention plans to designing better drugs and therapeutics to more precise placement of electrodes.

By uniting these advanced technologies, we are reimagining healthcare.

1-5 of 5 results
  • Example of Harvis visualization

    Harvis: Extended Reality Interface for Immersive Vascular Visualization

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  • Workflow for Programmable Proteome Editing

    Generative Language Models to Design Protein Therapeutics

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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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  • Fluorescence microscopy image of a blood vessel aneurysm in red and green.

    Coupled Digital Twins as Surrogates to Assess Treatment of Cerebral Aneurysms

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  • HarVI AI-enabled, Real-time Extended Reality-Based Treatment Planning

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