Diabetes mellitus is a major global health burden, and early identification of insulin dependency is important for timely intervention. This study developed an artificial intelligence-based diagnostic ...

Machine learning has emerged as a pivotal tool for the early identification and risk stratification of diabetes, a disorder affecting hundreds of millions worldwide. By leveraging vast and often ...

To this point, determination of genetic risk for Type 1 diabetes mostly has been limited to people with well-known and well-documented risk profiles. But with a machine learning tool created by ...

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, ...