Artificial Intelligence in Nutrition and Dietetics
It highlights novel AI-driven approaches for biomarker discovery, genotype-based dietary personalization, and sustainable nutrition design, extending beyond existing literature in nutrigenomics and functional food research.
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A Scoping Review of Artificial Intelligence for Precision Nutrition
This scoping review examines: 1) the current landscape, including publication venues, targeted diseases, AI applications, methods, evaluation metrics, and considerations of minority and cultural factors; 2) common patterns in AI-driven precision nutrition studies; and 3) gaps, challenges, and future research directions.
The convergence of big data analytics and artificial intelligence ( AI ) is revolutionizing the field of nutrigenomics , a branch of nutritional science focused on the interaction between nutrients and genes. With the increasing availability of genomic, transcriptomic, metabolomic, and dietary data, there is a growing need for advanced computational tools to interpret complex biological patterns ...
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