The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds. The most important factors ...

The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study finds. The most important factors predicting ...

A new federally funded study will use machine learning to predict how an individual responds to a given diet, allowing physicians to offer patients personalized nutrition prescriptions to improve ...

Medtronic and IBM have data showing that the combination of a continuous glucose monitoring system and Suger.IQ app enables diabetics to stay their time in optimal glycemic range for an extra hour a ...

While debate drags on about legislation, regulations, and other measures to improve the U.S. health care system, a new wave of analytics and technology could help dramatically cut costly and ...