Results presented at the 85th Scientific Sessions of the American Diabetes Association in Chicago highlight the potential for ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

For patients with type 2 diabetes or the APOL1-HR genotype, a machine learning test integrating biomarkers and electronic health record data demonstrated improved prediction of kidney failure ...

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. ...

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.