Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Objective Findings of previous studies on associations between dairy consumption and metabolic health status were inconsistent. This study aimed to assess the link between consumption of dairy foods ...

A new risk prediction model shows good predictive value in identifying risk for neurogenic bladder (NB) after spinal cord injury (SCI) and guiding clinical interventions, according to a study ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Results in a population of 278 patients affirm statistically significant mortality reductionsBenefits observed across severity groups and in ...

The third British Paediatric Surveillance Unit (BPSU) survey of herpes simplex virus (HSV) infection in infants presenting before 90 days of age, reported in this edition of Archives, informs us that ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

Introduction The American Academy of Pediatrics and an editorial in The Lancet encouraged further comprehensive research on digital media’s impact on adolescent health. Given the lack of previous ...

Patient-reported outcome measures and clinical scales were ineffective in predicting responses to full-agonist opioids for chronic pain.

Tempus HRD-RNA is an AI-driven, 1,660-gene logistic regression model designed to identify patients likely to respond to ...

Objectives Since 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%–15% at the national level. The literature has reported that overused CS ...