A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

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 ...

I real-world data highlight that the use of digital technologies in diabetes management is associated with a reduction in HbA1c levels, an important marker of glycemic control. A study published in ...

IBM is teaming up with a new organization — the Juvenile Diabetes Research Fund — to tackle a disease: type 1 diabetes. New York City-based JDRF is a nonprofit organization dedicated to type 1 ...

Experts weigh in on the most promising AI applications, from diabetic retinopathy screening to smarter insulin delivery, and ...

Traditionally, nutrition professionals have relied on self-reported food logs, interviews, and recall surveys, methods prone ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Automated insulin delivery can be controlled by a neural ...

More than half of diabetes patients believe that popular weight loss drugs alone may improve their health, according to a new report. At the same time, 42% of patients reported a life-threatening ...

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. Cyft ...

For thousands of years traditional Chinese medicine (TCM) practitioners have checked patients’ tongues as part of a full ...