According to a new study, elevated levels of growth differentiation factor-15 (GDF-15), a marker of oxidative stress and ...

Artificial intelligence can help predict which children in the emergency department will develop sepsis within 48 hours.

Objective Assess sociodemographic disparities in attention-deficit hyperactivity disorder (ADHD) diagnoses and determine ...

Objectives Contact breast injury (CBI) and exercise-induced breast pain (EIBP) are common in adult female contact sports; ...

Familial clustering was identified in primary hyperparathyroidism, as first-degree relatives were at higher risk than control patients.

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...

A Swedish-led study validated a self-administered digital cognitive test (BioCog) in primary care, showing it can accurately ...

Objectives This study aimed to identify the determinants of severe acute malnutrition (SAM) relapse among children aged 6–59 months. Design Case-control study. Setting Selected public health ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

ROURKELA: A research team of the National Institute of Technology - Rourkela (NIT-R) has secured patent for an AI-enabled future-ready innovative model that optimises the VANETs system to effectively ...