A research team led by professor Nan-Hee Kim from Korea University's College of Medicine (Nan-Hee Kim and So-Young Park of Department of Endocrinology and Metabolism; Min-Hee Kim and Jae-Young Kim of ...

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

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

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, ...

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