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

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 ...

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

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

Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among pregnant women during their first trimester.

One of the biggest health care innovations that could dramatically cut costs and improve outcomes is predictive analytics technology. In this piece, the author describes recent research which ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...