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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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 — ...

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 study finds protein markers in umbilical cord blood that are linked to later development of type 1 diabetes. The results ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the umbilical cords of children who were later diagnosed with the disease. In ...