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 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 ...

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 ...

The study was based on data from 3,100 people with diabetes who used Medtronic's Guardian Connect glucose monitoring hardware for at least five days.