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 ...

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

You've just been diagnosed with prediabetes: Wouldn't you want to know if you were in danger of actually getting diabetes? Wouldn't you want to know if the recommended intervention would actually ...

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 ...