The number of young people in the U.S. with type 2 diabetes could surge by about 700% over the next four decades, with a greater burden falling on minority groups, a new model predicts. If the recent ...

A new machine-learning tool can identify diabetes and prediabetes using ECG data, according to research recently published online in BMJ Innovations. “The motivation for the study was to search for ...

Analysis of the MarketScan database showed a strong association between flash continuous glucose monitoring (CGM) use and significant reductions in diabetes-related events and hospitalizations in a ...

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 ...

Please provide your email address to receive an email when new articles are posted on . The WHO Global Diabetes Compact identified five key diabetes metrics and established target goals. Better ...

A statistical model based entirely on claims data can accurately predict 30-day hospital readmission in Medicaid patients with diabetes. Objectives: Readmission is common and costly for hospitalized ...

Leo, a 22-year-old man who received a diagnosis of type 1 diabetes at 17 years of age, has struggled to meet glucose targets. As a young adult, he has many competing priorities, and diabetes is not ...