Latest AI and machine learning research in diet & nutrition for healthcare professionals.
PURPOSE: The purpose of this study was to validate the accuracy of an artificial intelligence (AI) p...
Inactive ingredients and generally recognized as safe compounds are regarded by the US Food and Drug...
Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely...
BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on...
Further investigations on phytochemical constituents of dichloromethane extract from roots of ( led...
Cardiovascular diseases (CVD) have become increasingly life-threatening during recent decades. Sever...
INTRODUCTION: Cutaneous warts caused by human papillomavirus are the most common dermatological dise...
BACKGROUND: Alpha-tocopheryl succinate, a major chain-splitting antioxidant, is the most effective f...
BACKGROUND: In recent years, accumulating evidence has linked vitamin D deficiency to cognitive dysf...
BACKGROUND: Vitamin D deficiency (VDD) and insufficiency (VDI) are public health problems in many co...
Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on antic...
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary laps...
Nano-systems for cancer co-therapy including vitamins or vitamin derivatives have showed adequate re...
The purpose of this study was to verify the usefulness of machine learning (ML) for selection of ris...
This study was conducted to investigate the influence of vitamin D (Vit D) administration on growth...
In this work, we present FREGEX a method for automatically extracting features from biomedical texts...
Certain patterns of eating behaviour during meal have been identified as risk factors for long-term ...
To support the viability of a wash-down approach to mitigating nuclear contamination, this study pre...
Cardiovascular calcification is a health disorder with increasing prevalence and high morbidity and ...
This paper outlines typical terminology for modeling and highlights key historical and forthcoming a...
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the...