Latest AI and machine learning research in diet & nutrition for healthcare professionals.
BACKGROUND: This is the initial investigation assessing the association between caffeine consumption...
Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study in...
BACKGROUND: Early detection of anxiety symptoms can support early intervention and may help reduce t...
Randomised controlled trials are the 'gold standard' approach in nutrition research to show a causal...
Machine learning is increasingly being utilised across various domains of nutrition research due to ...
Organic acids reflect the course of all important metabolic processes and the effects of diet, nutri...
The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the lea...
This study aimed to develop and validate a machine learning (ML)-based model for predicting liposuct...
The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance ...
BACKGROUND: The intake of dietary antioxidants and glycolipid metabolism are closely related to chro...
The intersection of artificial intelligence (AI) and public health nutrition is rapidly evolving, of...
Obesity is a chronic disease correlated with numerous risk factors that not only negatively affect a...
This research study investigates and predicts the obesity prevalence in Missouri, utilizing deep neu...
PURPOSE: Fragility fractures associated with osteoporosis and osteopenia are a common cause of morbi...
The rising prevalence of obesity presents significant health, economic, and social challenges, neces...
INTRODUCTION: The problem of population aging is intensifying worldwide. Osteoporosis has become an ...
Erectile Dysfunction (ED) is a form of sexual dysfunction in males that imposes significant health a...
BACKGROUND: As artificial intelligence AI-supported applications become integral to web-based inform...
BACKGROUND: Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-wat...
PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untrea...