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Weizmann Institute of Science, Tel Aviv University, Schneider Children's Medical Center of Israel, The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes
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LeDXA reveals that self-supervised learning can unlock critical health insights from DXA scans, outperforming traditional metrics in predicting disease risk with far fewer resources.
A generative model of human physiology not only beats existing clinical risk scores at predicting disease, but also accurately simulates the effects of clinical interventions, paving the way for personalized medicine.
