Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic ...

New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

Background South Korea is the only country to mandate graphic health warnings on both cigarettes and heated tobacco products ...

A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients with acute kidney injury (AKI) after lung transplantation. By integrating ...

Hypoglycemia is common after pheochromocytoma resection and is linked to poorer outcomes. A nomogram incorporating age, high ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

A cross-sectional study of 232 young adults in Bangkok found that e-cigarette users were more likely than non-smokers to ...

Centrilobular emphysema (CLE) is independently associated with the progression of coronary artery calcification (CAC) over time.

Background The World Health Organization Surgical Safety Checklist (WHO-SSC) is a global tool designed to enhance teamwork ...

Suicidal ideation is prevalent among patients with iRMDs and is associated with shorter disease duration, urgent/impulsive behavior, and neuroticism.

Objectives To examine if early adoption into a family with favourable home environment conditions reduces long term ...