The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

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

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Google's December Pixel update introduced a flickering always-on display bug affecting Pixel 10 devices. The issue emerged ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Background Peripheral venous catheters (PVCs) are ubiquitous in hospitals, yet phlebitis remains common despite ...