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 ...

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 ...

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, ...

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes researchers have found. That suggests doctors may be able to use data from the devices to help ...

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

An AI-assisted model based on 71 different blood proteins could help doctors better predict retinal degeneration in diabetic ...

Time-in-range computed from virtual CGM data predicts retinopathy, neuropathy similarly to glycated hemoglobin data. (HealthDay News) — Fourteen-day continuous glucose monitoring (CGM) traces added to ...