This $952,867 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support the development of a digital twin framework for virtual clinical trials. The primary objectives are to: 1) improve computational efficiency of organ-scale, biology-based mathematical models to enable high-throughput screening of novel interventional strategies; 2) develop techniques to generate a cohort of stochastic virtual patients with anatomical and physiological heterogeneity; and 3) perform virtual clinical trials to systematically test an array of practical therapeutic interventions on a virtual breast cancer patient population. This effort aims to dramatically improve the efficiency of in-person clinical trials or potentially eliminate them entirely by evaluating a wide range of interventions in silico on representative virtual patient cohorts. The award period runs from Dec 2024 to Nov 2027 and is being performed solely by the prime awardee, the University of Texas at Austin.
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