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 ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

The researchers published their findings in the journal Nature Communications.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.

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 — ...

Insulin resistance—when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels—is ...

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, ...