This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...

Researchers at at Massachusetts General Hospital have developed a blood test that examines over 200 proteins to assess an individual’s biological aging rate. According to the research, the test — ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

RICHMOND, Va. (WRIC) — A research study from the University of Virginia Center for Diabetes Technology suggests that data from continuous glucose monitors (CGMs) can predict the development of serious ...

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, ...

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...