A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...

Identifying biomarkers that simultaneously reflect inflammation and coagulation status is crucial for early prediction and prevention of VTE in high-risk populations.

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...

Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.

Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs ...

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...

The presence of long COVID symptoms after infection with SARS-CoV-2 is strongly associated with the development of ...

A new study finds that older adults with gum disease are more likely to show signs of white matter damage in the brain — a ...

Near-death experiences can bring peace and heartbreak. A UVA study shows how NDEs reshape lives, strain families, and what ...

SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in ...