Precision nutrition tailors dietary guidance to individual biological, genetic, metabolic, and behavioral characteristics. Artificial intelligence (AI), machine learning (ML), wearables, sensors, mobile apps, and multi-omics tools increasingly support this approach, but evidence on their effectiveness, feasibility, imp...
Janet Antwi, O. Harrison, Niki Hayatbini· Journal of NutriLife· 0 citations
The approaches developed by the first four institutional awardees of the T32 AIPrN training grant are described and applied strategies for interdisciplinary training, data integration, and methodological innovation are highlighted as the research community prepares to analyze and interpret data generated by major initi...
Saurabh Mehta, S. Huey, Paraskevi Massara et al.· Journal of NutriLife· 0 citations
The growing global challenges of food insecurity posed by climate change, and micronutrient deficiencies have intensified interest in climate resilient, nutrient-dense functional foods. Purslane (Portulaca oleracea L.) is a promising candidate owing to its exceptional nutritional profile and adaptability to harsh agroe...
Peter A. Y. Ampim, Eniola A. Faluyi, M. Salisu et al.· Frontiers in Plant Science· 0 citations
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