Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

A new study finds four factors that may make it more likely for some people to experience successful weight loss from using ...

A new NSF-backed AI tool predicts blood sugar levels accurately without collecting personal health data from users' devices.

The product-aligned operating model has gained traction over the past few years as organizations seek more agile and customer ...

Survival models using electronic health record data show promise in predicting progression to proliferative diabetic ...

Retail pharmacies could ramp up educational programs, rethink merchandising efforts and address product frustrations to make ...

A study conducted by researchers at Saint Louis University found that patients with depression were more likely to have ...

Emeli Chatterjee, Ph.D., of the Cardiovascular Research Center at Massachusetts General Hospital, is the lead author and ...

Diabetic retinopathy (DR), a severe microvascular complication of diabetes mellitus, poses a significant global health threat with its rising prevalence amidst the diabetes pandemic. As the leading ...

AI is enhancing last-mile delivery efforts by analyzing data to optimize truck routes, predict errors, and prevent package ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In this Diabetes in Real Life column, Susan Weiner, MS, RDN, CDN, CDCES, FADCES, talks with Sarah Hormachea, MS, RD, CDCES, ...