Nature

Machine Learning Applications in Diabetes Prediction and Diagnosis

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 ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

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, ...
Devdiscourse

AI could close Africa’s deadly diagnosis gap for diabetes and sickle cell disease if deployed equitably

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.
Becker's Hospital Review

Children’s Mercy, Joslin Diabetes Center to use machine learning for diabetes management

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 ...