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 ...

An AI-enabled smartphone app that uses real-time patient data and virtual coaching to provide individualized recommendations ...

The performance of different machine learning models in detecting hepatitis among people with diabetes.

An automated insulin delivery system controlled by an artificial intelligence machine learning model may perform just as well as a system using a traditional equation-based insulin dosing ...

A team of doctors and researchers has used artificial intelligence (AI) to develop what they claim could be a new way to more ...

Researchers at Karolinska Institutet, KTH Royal Institute of Technology and SciLifeLab have developed a new method for ...

diabetes and cancer, whose genetic risks don't actually fit into such neat, binary categories. "Our study shows that machine ...

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.

When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means. Now, researchers at the Icahn School of Medicine at Mount Sinai ...

Children's Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft.