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.

Using machine learning methods, the researchers examined the association of patients’ baseline characteristics, clinical- and treatment-related factors and socio-economic status with glycemic control.

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

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

Over 2,250 samples from 184 participants yielded 376 regulated proteins identified using machine learning analyses to predict autoimmunity preceding type 1 diabetes.

A new study unveils a new, machine-learning derived model that can predict, with a high degree of accuracy, future heart failure among patients with diabetes.