An Osaka Metropolitan University researcher examined whether abdominal obesity predicts frailty progression in 2,962 ...

Find out how combined chemical exposures and genetics may raise multiple sclerosis risk in new population research.

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

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Background In May 2020, England banned menthol as a characterising flavour in cigarettes. However, the sale of menthol accessories (eg, filters, flavour cards) remains permitted. This study assessed ...

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

Aim To understand whether the risk of complications following paediatric cardiac surgery differs according to a child’s ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

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 ...

Objective This study aims to assess the prevalence of cancer risk factors in China’s working population and provide evidence for formulating more targeted workplace cancer prevention strategies.