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 ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Traditionally, nutrition professionals have relied on self-reported food logs, interviews, and recall surveys, methods prone ...

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 ...

Heyjun Park of the Johns Hopkins Bloomberg School of Public Health identifies biological and behavioral markers linked to heart disease, diabetes and pregnancy outcomes. She will speak Wednesday.

At 17, Amity International School student Anushka Manoj is using artificial intelligence not just to innovate but to ...

On October 3-4, 2025,The Federal Reserve Bank of Philadelphia and the Center for Applied AI at the University of Chicago Booth School of Business are co-hosting a conference on Frontiers in Machine ...