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<p>Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.</p>
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing co
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing co
Polygenic scores -- estimates of an individual's predisposition for complex traits and diseases -- hold promise for identifying patients at risk of disease and guiding early, personalized treatments, but experts found the scores fail to account for the wide range of genetic diversity across individuals in all ancestries.