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.

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, ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

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

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...