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 ...

Researchers at at Massachusetts General Hospital have developed a blood test that examines over 200 proteins to assess an individual’s biological aging rate. According to the research, the test — ...

Combining wearable-derived daily step counts with polygenic risk scores improves the prediction of incident type 2 diabetes ...

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, ...

Diabetes has long been lumped into two categories—type 1, which often appears in childhood, or type 2, which is associated with obesity and typically develops later in life. But scientists have ...

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes, UVA Center for Diabetes Technology researchers have found. The research suggests doctors may ...

RICHMOND, Va. (WRIC) — A research study from the University of Virginia Center for Diabetes Technology suggests that data from continuous glucose monitors (CGMs) can predict the development of serious ...