HOUSTON — Machine learning has immense potential for improving diabetes care, particularly when used by diabetes care and education specialists, according to two presenters at the American Association ...

Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among pregnant women during their first trimester. GDM affects up to 15% ...

Researchers created a machine-learning–based model to help predict which patients will develop diabetes, according to an abstract to be published in the Journal of the Endocrine Society. “Currently, ...

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 ...

This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...

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 same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range. The same type ...

A recent Scientific Reports study evaluated the performance of different machine learning models in detecting hepatitis among people with diabetes. Diabetes mellitus (DM) has been deemed to be one of ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Automated insulin delivery can be controlled by a neural ...