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

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 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 ...

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.

Researchers have found in a new study that an AI-based personalized lifestyle management system could help patients with type ...

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 ...

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning.