UC San Diego researchers have developed T1GRS, a machine‑learning model that accurately predicts genetic risk for Type 1 ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Artificial intelligence and predictive analytics are advancing diabetes prevention, diagnosis, and management by integrating data from continuous glucose monitors, electronic health records, and other ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
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