Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

Patients with primary hyperparathyroidism are at risk for long-term cardiometabolic complications, which may be partially mitigated by parathyroidectomy.

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Reliable reporting and publication practices are essential for trustworthy evidence synthesis and clinical decision-making. This analysis aimed to identify latent classes of randomized controlled ...

Objectives To examine associations between The Daily Mile, a school-based active mile intervention, and pupils’ physical ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...