Over 60% of U.S. adults have risk factors for type 2 diabetes, far more than current diabetes prevention programs can realistically serve. Since diabetes often develops gradually ...

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes, University of Virginia Center for Diabetes Technology researchers have found. That suggests ...

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 new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering fresh insight into the ...

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic ...