More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

The Virginia Cavaliers return home for their week eleven matchup against Wake Forest this weekend after spending time on the road. Their latest matchup against California resulted in a final score of ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...