HOUSTON — Machine learning has immense potential for improving diabetes care ... this pool of readings and use algorithms to provide personalized blood glucose predictions by incorporating ...

Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who is most at risk remains challenging due to the non-linear relationships between hypoglycemia and ...

A new study unveils a new, machine-learning derived ... patients with diabetes. Importantly, the WATCH-DM risk score is now available as an online tool for clinicians to use.

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.

That’s good, but is that the most effective approach as diabetes rates continue to soar? Drawing on machine learning for her research ... When Rosella took the risk-prediction algorithm that she and ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately ... With that data, “we can make any kind of prediction,” said Sune Lehmann, the study’s lead ...