HIV and tuberculosis (TB) treatment programs have always relied on clinical trials to understand whether treatment ...

Pre-workout supplement use may be linked to shorter sleep, raising concerns about mood, recovery, and daily functioning.

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

Teenagers and young adults who use pre-workout dietary supplements to boost exercise performance and energy are likely to get ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Software engineering does not disappear. But the path in changes: junior roles require stronger fundamentals, better ...

Introduction Selling sex has been associated with negative social and health outcomes, but most studies have been limited ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...