Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

The Notre Dame Fighting Irish and Stanford Cardinal swing into ACC play with a Friday 9 p.m. ET game in Stanford, California.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Background Although multiple studies have offered self-collection for human papillomavirus (HPV)-based cervical screening in ...

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

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