More information: Ahmed A. Metwally et al, Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning, Nature Biomedical Engineering (2024).

Stanford Medicine researchers are using artificial intelligence to help identify the underlying biology behind Type 2 diabetes.

Multi-organ CT scans may help doctors identify those who may have a heightened risk of developing type 2 diabetes, a new study suggests.

Novel technology holds the potential to transform day-to-day tasks for people with type 1 diabetes.

Analysis of CT scans in people who undergo imaging for health screening can identify individuals at risk of type 2 diabetes, according to a study published today in Radiology, a journal of the ...