Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Accurate elemental analysis is a critical requirement for mineral exploration, particularly in regio...
Current research on the association between demographic variables and dietary patterns with atherosc...
Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian ...
OBJECTIVES: Sarcopenic obesity (SO), characterized by the coexistence of obesity and sarcopenia, is ...
With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping re...
AIMS: This study investigated the role of plasma proteins in obesity to identify predictive biomarke...
Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. ...
: The increasing use of social media for sharing health and diet experiences presents new opportunit...
BACKGROUND: Low birth weight (LBW) is a health condition that affects over 20 million gestational ou...
This pilot study explored the use of a novel behavioural artificial intelligence (AI) tool to examin...
INTRODUCTION: Osteoporosis is a disease characterized by low bone mineral density and an increased r...
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for h...
Exposure to three primary xenoestrogens (XEs), including phthalates, parabens, and phenols, has been...
BACKGROUND: The accuracy of current tools for predicting adverse events in older inpatients with pos...
Greater than 650 million individuals worldwide are categorized as obese, which is associated with si...
Nondestructive, rapid, and accurate detection of nutritional compositions in sorghum is crucial for ...
A complex biological process involves physical changes and hormonal fluctuation in the menstrual cyc...
Binge eating disorder (BED) carries a 6 times higher risk for obesity and accounts for roughly 30% o...
Suboptimal nutrition in organic waste limits the growth of black soldier fly (BSF) larvae, thereby r...
This study aims to create predictive models for PA guidelines by using ML and examine the critical d...
Hundreds of loci have been robustly associated with obesity-related traits, but functional character...