The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $147,695 Project Grant to Texas Tech University System, doing business as Texas Tech University, to develop advanced computational methods for creating high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The goal is to enable virtual clinical trials to evaluate the efficacy and safety of medical devices before real-world trials, in a safe, cost-effective, and precisely controlled manner. The project will deliver novel machine learning algorithms for accurate digital twin geometry reconstruction, an efficient inverse method to identify in vivo material properties, and a new machine learning-based fluid-structure interaction solver for biomechanics and hemodynamic analyses. These computational methods will be made publicly available through a software/cyberinfrastructure platform to serve as an educational resource and facilitate virtual clinical trials for advancing regulatory sciences. The award period is from December 1, 2024 to November 30, 2027.
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