A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

A comprehensive genetic investigation led by Dr. Feng Liu at Tianjin Medical University General Hospital has uncovered ...

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

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 ...

:23 – Nope, not that one. Every one of Morton’s interceptions have been forced balls and there’s a dozen more close calls ...

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 ...

The Research Article in Genomic Psychiatry titled "Shared genetic architecture between schizophrenia and osteoporosis revealed by multilevel genomic analyses," is freely available via Open Access on 6 ...

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

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

Fergal Keane has met thousands of traumatised children while reporting on conflicts. Here, he researches the long-term effect ...

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

A Case Study on How Brand Equity and Service Quality Shape Revisit Intention in Luxury Hospitality The hospitality industry is rapidly evolving through digital transformation, giving rise to hybrid ...