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

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 ...

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

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

Type 1 diabetes is more prevalent in Finland than anywhere else in the world, affecting approximately 50,000 people. New ...

Execution engine optimizers fuse GenAI’s reasoning with the capabilities of execution engines to take the most optimal ...

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, ...