This $735,346 federal Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), supports the development of an AI-powered "AI2EQUITY" model to predict cardiovascular disease (CVD) risk. The project aims to integrate clinical factors and multi-domain social determinants of health (SDOH) data into an advanced deep learning architecture to improve health equity in CVD risk prediction. Key objectives include enhancing the model's fairness and interpretability, and assessing its generalizability across healthcare systems. The University of Massachusetts Medical School is the prime awardee, with a sub-award to OCHIN, Inc. to provide project leadership, data management, and other support at the OCHIN research sites. The award period runs from April 2024 to March 2028.