The National Science Foundation (NSF) awarded a $997,770 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Johns Hopkins University. The funding supports a 3-year research project focused on improving cardiac digital twin models to better predict the risk of sudden cardiac death. The research aims to develop novel mathematical and machine learning tools to enhance the predictive capabilities of cardiac digital twin simulations, which can inform personalized clinical interventions for patients with cardiomyopathy. Beyond the scientific advancements, the project will also incorporate educational and outreach programs to attract underrepresented groups to biomedical engineering and applied mathematics. No subawards are planned under this grant.
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