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

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 ...

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 ...

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, ...

Prediabetes is an extremely heterogeneous metabolic disorder. Scientists from several partner institutes of the German Center ...

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

Children’s Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft. Cyft ...

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of its clinical data study on identifying and stratifying prediabetic patients at high risk for ...

Google has been busy recently. Just in the past week it has closed down its Google Fit website, launched a new drug disposal tool and announced the first clinical use of Verily’s machine learning tool ...

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