The emerging role of artificial intelligence in personalized nutrition

Authors

  • Jian Sabripour Department of Food Science and Human Nutrition https://orcid.org/0009-0005-6039-5352
  • Zhiyong Cheng Food Science and Human Nutrition Department
  • Karla P. Shellnutt Department of Family, Youth and Community Sciences

DOI:

https://doi.org/10.32473/ufjur.28.141692

Keywords:

Artificial Intelligence, Machine learning, Personalized nutrition, Disease prevention

Abstract

Ever since the concept that machines can “think” was coined in the 1950s, artificial intelligence (AI) has

evolved in various forms and with increasing capabilities, including the application of AI to public health

issues. Diets and nutrition play a key role in human health and disease. The growing epidemics of chronic

diseases and discovery of discordant disease risks among twins highlight the urgent need of developing

personalized nutrition (PN) over a one-size-for-all strategy to achieve effective interventions. Integration

of AI with individuals’ dietary information, genetics, and physiological data has opened a new window to

develop precision nutrition for disease prevention. In this article, we reviewed the evolution of AI and

PN, discussed the emerging application of AI in PN development, and prospected current challenges.

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Published

2026-09-21

Issue

Vol. 28 (2026): UF Journal of Undergraduate Research

Section

STEM & Medicine

License

Copyright (c) 2026 Jian Sabripour, Zhiyong Cheng, Karla P. Shellnutt

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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