Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

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 ...

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 ...

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, ...

We all know how formidable the Yellow Jackets are rushing the football this season, and the ranks that they have them as a top unit in the country. They are also No. 18 in total offense, nearing 500 ...

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: Patients with type 2 diabetes mellitus (T2DM) have an increased susceptibility to urinary tract infections (UTIs), caused by uropathogenic Escherichia coli (UPEC). Asymptomatic bacteriuria ...