This National Science Foundation (NSF) Engineering (CFDA 47.041) grant award of $138,893 will support research to characterize the mechanical properties of blood clots through the integration of computational modeling and machine learning techniques. The objective is to develop a multiphysics model for predicting clot strength, toughness, and dynamic modulus based on the composition of clot components like red blood cells, platelets, fibrin networks, and plasma. The research aims to advance understanding of how the interplay between clot constituents contributes to the overall mechanical response, with the goal of enabling patient-specific clot modeling for improved personalized medicine. The award, granted to The Research Foundation for the State University of New York, runs from October 1, 2024 to August 31, 2025. No subawards are planned under this grant.
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