Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

UCSF researchers have discovered a way to identify deadly lung infections with improved accuracy by pairing AI with a unique ...

If you want to make a good income, particularly from a low-cost-of-living area, these jobs offer ample opportunity to earn ...

Objectives to describe the evolution of anxiety during the COVID-19 pandemic in France and to assess whether it differed according to pre-existing alcohol misuse. Design A prospective longitudinal ...

The Covenant Health organization has revised to nearly 500,000 the number of individuals affected by a data breach discovered ...

Both H1N1 and COVID-19 spread across the U.S. faster and more unpredictably than early detection systems could keep up.

Public health researchers at Columbia University Mailman School of Public Health used computer modeling to reconstruct how ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

This is a summary of: Liu. H. et al. Viral RNA blocks circularization to evade host codon usage control. Nature https://doi.org/10.1038/s41586-025-09809-y (2025).