UCSF researchers have discovered a way to identify deadly lung infections with improved accuracy by pairing AI with a unique ...

It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...

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

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

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 ...

Background Nutrition is a critical determinant of tuberculosis (TB), providing a protective effect at high body mass index ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Objective This study aims to assess the prevalence of cancer risk factors in China’s working population and provide evidence for formulating more targeted workplace cancer prevention strategies.

Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with geographic, temporal, and behavioral factors. Awareness measures, better ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.