India's poorest students are closing the STEM gap, but a strong gender bias and the high cost of private colleges continue to ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

New research analyzing medical records from a psychiatric treatment program suggests that the content of psychotic delusions ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

Objective Lupus nephritis (LN) is a prevalent renal manifestation in patients with SLE, with kidney biopsy remaining the gold ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Background Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency with evolving demographics and ...

The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic dissection who returned to work. Multiple validated instruments with good ...

Objectives Curable sexually transmitted infections (STIs) heavily rely on laboratory testing methods. Unfortunately, these diagnostic tools are infrequently used in certain regions of the country, ...

Methods We analysed data on family material assets and self-reported symptoms of problematic gaming from 58 881 participants in the 2021/2022 Italian Health Behaviour in school-aged children study.