In a recent study published in eClinicalMedicine, researchers developed questionnaire-based models for predicting diabetes mellitus type 2 (T2D) incidence and prevalence across differing ethnicities.

A global organization focused on diabetes research is using machine learning to analyze years of data among pediatric patients, while new studies out of MIT indicate machine learning could be a ...

Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores.

A look at the role artificial intelligence and machine learning can play in improving diabetes management.

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 ...

Machine learning has immense potential for improving diabetes care, particularly when used by diabetes care and education specialists.