Artificial Intelligence in Nutrigenomics: A Critical Review on Functional Food Insights and Personalized Nutrition Pathways
ABSTRACT Background This review critically evaluates the applications of artificial intelligence in nutrigenomics, focusing on its role in interpreting functional food-gene interactions, supporting personalized nutrition strategies, and enabling evidence-based dietary interventions for improved health outcomes. Methods A systematic literature search was conducted using PubMed, Scopus, Web of Science, and Google Scholar to identify studies published […]
