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AI-Powered Nutritional Genomics: Tailoring Diets Based on Genetic Profiles

Year: 2025

Type: article

Abstract: AI-powered nutritional genomics represents a groundbreaking convergence of genetic science and artificial intelligence, aiming to create personalized dietary recommendations based on individual genetic profiles. By analyzing genetic variations, particularly single nucleotide polymorphisms (SNPs), and integrating data from wearable devices, microbiome analyses, and lifestyle trackers, AI can interpret complex biological patterns to optimize nutrition and health outcomes. This approach offers significant benefits, including enhanced disease prevention, improved diet adherence, and personalized health optimization. However, it also raises challenges such as data privacy, algorithmic bias, and accessibility. As the field advances, it holds the potential to revolutionize healthcare by shifting from generalized dietary guidelines to truly personalized nutrition strategies tailored to each person’s unique biology.

Source: International Journal of Scientific Research and Engineering Trends

DOI: 10.5281/zenodo.15598328

Author: Reddy, Ramya

Institution: Satavahana University

Language: English

Topic: Nutrition, Genetics, and Disease

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Zero hunger, Good health and well-being

Open Access status: hybrid

OpenAlex ID: W6931064020

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