A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

A statewide evaluation found that California schools receiving TUPE funding delivered more antitobacco education and ...

Less than 30% of pediatric patients who survived ICU hospitalization followed up with their primary care provider within 1 ...

Adults who reported 2 to less than 3 hours of weekend catch-up sleep had a significantly lower prevalence of CKD compared with those reporting less than 1 hour of WCS (AOR, 0.44; 95% CI, 0.21-0.88).

A prospective study found that diabetes mellitus and anuria are significant predictors of high post-void residual following ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Cancer survivors living in rural areas are more likely to experience chronic pain than urban cancer survivors.

Women who developed severe intrahepatic cholestasis of pregnancy (ICP) after 28 weeks faced over a threefold higher risk of ...

A decade-long study links breastfeeding to lower anxiety and depression in mothers, suggesting long-term mental health ...