Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...

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

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

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

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

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

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 ...

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

Multiple sclerosis is an autoimmune disease in which immune cells attack and destroy the protective myelin sheaths that surround nerve fibres, leading to neurological disturbances. Lymph node-like ...

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 ...