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.

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

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

Segar, M, Vaduganathan, M et al. Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score. Diabetes Care , 2019 DOI: 10. ...

The study was based on data from 3,100 people with diabetes who used Medtronic's Guardian Connect glucose monitoring hardware for at least five days. Written by Larry Dignan, Contributor June 11 ...

The Madras Diabetes Research Foundation (MDRF) will use artificial intelligence, data science, and machine learning to improve treatment modalities for diabetes. The Foundation has tied up with a ...