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 ...
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 highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
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 ...
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Blood metabolite profiling outperforms BMI in predicting pregnancy complications
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 ...
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