This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $299,604 to Case Western Reserve University to develop and validate a novel "transfer volume regression" machine learning model for predicting major cardiovascular events, including stroke, heart attack, heart failure, and death. The project aims to create a standardized, fairness-aware, and user-friendly risk prediction tool that leverages commonly used, low-cost screening programs. This work represents a significant advancement in smart health and biomedical research by applying innovative computer science, data science, and biomedical engineering techniques to address the critical challenge of lacking a standardized clinical risk prediction for major cardiovascular events. The efficacy and robustness of the model will be validated using four large, diverse datasets over the 4-year project period from Sep 1, 2024 to Aug 31, 2028.
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