Posts by Seyedeh Maryam Zekavat, BS
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AI Identifies Links Between Retinal Vascular Patterns and Risk of Cardiometabolic, Ocular Diseases
Measurements of retinal vascular density and branching, obtained from fundus photographs by convolutional neural networks at Massachusetts General Hospital, may be clinically useful as biomarkers of cardiometabolic disease severity and for predicting future risk of ocular diseases.
Biography
Seyedeh Maryam Zekavat, BS, is an MD-PhD student at Yale School of Medicine, the Broad Institute of MIT and Massachusetts General Hospital.