Diabetes mellitus is a major global health burden, and early identification of insulin dependency is important for timely intervention. This study developed an artificial intelligence-based diagnostic ...

AKI not only leads to increased medical costs and prolonged hospital stays but also results in higher risks of mortality and adverse renal events. The mortality for hospitalized patients with AKI is ...

Study of Over Three Million Patients for Risk of Type 2 Diabetes Demonstrates Potential for More Advanced Approach to Early Identification Over 60% of U.S. adults have risk factors for type 2 diabetes ...

Share on Pinterest Recent research is highlighting different approaches that may better predict diabetes risk than current methods. Image credit: Narumon Bowonkitwanchai/Getty Images About every 1 in ...

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 ...

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 ...