Objectives To estimate the rate of hospitalisation, identify associated factors and assess out-of-pocket expenditure (OOPE) among adults with multimorbidity in Kerala, India. Design Community-based ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Incorporating marble dust and polypropylene fibers in concrete boosts strength and durability, highlighting the role of machine learning in mix optimization.

Introduction: Diabetes mellitus is a non-communicable disease whose prevalence is increasing in sub-Saharan Africa, particularly in Benin, where it represents a major pu ...

A recent study conducted at The University of Osaka (Japan), based on the research team’s hypothesis that a non-destructive model for predicting fruit ripeness could be developed using volatile ...

Running a nuclear power plant isn’t an easy task, even with the level of automation available to a 1980s Soviet RBMK reactor.

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

BACKGROUND: There is limited evidence of the relationship between aortic and iliac calcification and aortic events (aortic dissection or aneurysm rupture) and major adverse limb events (MALEs; ...

Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk ...

Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...

BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.