Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Overweight/obesity has become a critical global health issue, as these conditions are strongly associated with elevated risk of diabetes, stroke, cardiovascular disorders, and certain types of cancer. In recent decades, Bangladesh has faced a notable rise in overweight/obesity prevalence-women are more prone to obesity than men. This study presents a comprehensive strategy for identifying risk fac...
BACKGROUND: Malnourished patients hospitalized with inflammatory bowel disease (IBD) have a high risk of morbidity and mortality. Risk stratification can help identify patients who are most in need of medical and nutritional intervention. GOAL: This study aimed to develop a machine-learning model that accurately predicts mortality in hospitalized IBD patients with protein-calorie malnutrition (PCM...
BACKGROUND: Acupuncture, a key modality in traditional Chinese medicine, is gaining global recognition as a complementary therapy and a subject of inc...
BACKGROUND: This review critically evaluates the applications of artificial intelligence in nutrigenomics, focusing on its role in interpreting functi...
Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnose...
BACKGROUND: Psychological resilience significantly influences immune function and health outcomes in high-stress populations, yet mechanisms underlyin...
BACKGROUND: In patients with alcohol-associated liver disease (ALD), heavy and prolonged alcohol consumption can trigger acute-on-chronic liver failur...
Edible seaweed subcategorized into Chlorophyta (green algae), Phaeophyceae (brown algae) and Rhodophyta (red algae) are considered sustainable functio...
BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of severe mental illness (SMI) in a substantial subset o...
Industrial solid wastes are increasingly used as alternative feedstocks for synthesising sulfoaluminate cement (SAC). However, their complexity in com...
UNLABELLED: Depression and obesity are highly comorbid and likely involve common risk factors and pathophysiological mechanisms, which could crosslink...
People's eating habits are influenced by psychological, social, cultural, and behavioral factors. Research shows that certain personality types expose...
OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...
Femur segmentation is a precursor to image analysis pipelines that evaluate hip bone measures with subject-specific finite element models, but histori...
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...
Mushrooms are rich in structurally diverse bioactive compounds that exert potent immunomodulatory effects, making them promising candidates for next-g...
OBJECTIVE: To develop and validate a machine learning model for predicting major depressive disorder (MDD) with suicidal ideation (SI) by incorporatin...
BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infant health. Inflammation is a potential factor for ...
The field of personalised nutrition is growing and is based on the concept that delivering personalised dietary advice will be more effective than gen...
School meals play a critical role in the daily nutrition of children and the development of lifelong eating habits. The objective of this study was to...