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 ...

Combining wearable-derived daily step counts with polygenic risk scores improves the prediction of incident type 2 diabetes ...

A test using genetics to predict who is at the highest risk of developing type 1 diabetes could one day be applied to large-scale health studies, to identify adults who could benefit from new drugs, ...

This article is part of “Innovations In: Type 1 Diabetes,” an editorially independent special report that was produced with financial support from Vertex. In 2024 Stephen Rich and his colleagues ...