The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

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 ...

Standardized pediatric diabetes prevalence rose from 2.73 to 3.04 per 1,000 Medicaid/CHIP enrollees (2016–2021), reflecting an 11.4% relative increase with significant secular trend. Type 2 diabetes ...