The National Institute on Aging (NIA) awarded Yale University a $813,824 Project Grant under CFDA 93.866: Aging Research to develop an innovative screening strategy for advanced aortic stenosis (AS) and establish a digital biomarker for AS progression. The project aims to evaluate a 2-stage screening approach using AI-enhanced electrocardiograms and point-of-care ultrasounds to efficiently identify moderate-to-severe AS. Additionally, the project will conduct a multicenter study to assess a deep learning tool for predicting AS progression risk among older adults with early-stage aortic valve disease. This research seeks to transform cardiovascular care by leveraging artificial intelligence and data science to improve AS diagnosis, monitoring, and precision follow-up.
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