Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

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 ...

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...

The AI in Diabetes Management Market is poised for growth driven by increasing diabetes prevalence, demand for personalized ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...