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Researchers at the University of Michigan have received a two-year, $500,000 grant from the American Heart Association (AHA) to develop and test a machine learning (ML) model capable of detecting hypertrophic cardiomyopathy (HCM), a dangerous yet often underdiagnosed cardiac condition.

Dr. Sardar Ansari, a Research Assistant Professor of Emergency Medicine and Director of Data Science at the university’s Max Harry Weil Institute for Critical Care Research and Innovation, will serve as the project lead alongside co-investigators from Precision Health at U-M and the Departments of Internal Medicine and Learning Health Sciences. The grant will be conducted as an ongoing collaboration between the Weil Institute and Precision Health. Training and validation of the prospective model will also involve partner sites at Johns Hopkins University, UT Southwestern and Stanford University.

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