GLIMPRINT Seminar: Chase Cockrell, University of Vermont. The Wound Environment Agent-Based Model: A Digital Twin for Wound Healing.

Thursday, March 6, 2025 - Friday, March 7, 2025
 | 
3:00 PM US Eastern
via Zoom

IMAG/MSM WG Multiscale Modeling and Viral Pandemics Zoom @everyone

March 6, 2025 at 3PM (EST)

Chase Cockrell, University of Vermont. 
The Wound Environment Agent-Based Model: A Digital Twin for Wound Healing.

The Wound Environment Agent-Based Model is a digital twin representation of volumetric muscle loss injury and its subsequent healing. The model is informed by a range of clinical data, including CT scans, quantitative histology, proteomics, and genomics.  To capture the heterogeneity of the clinical population, we employed machine-learning techniques to discover a set of model parameterizations that could not be invalidated by experimental data.  We then use deep reinforcement learning on the digital twin, instantiated with a range of parametrizations to determine both the most generalizable therapies to speed healing and reduce scar formation, and individually, to optimize dose strengths and timings for individuals.

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