January 28, 2026

Nutrition Gets Personal

In this column, the authors explore how genetics, multi-omics tools, wearables, and AI are advancing precision nutrition and predicting individual dietary responses.

Prescription for good health overhead with stethoscope, healthy fresh food and exercise equipment.

Joanne Slavin, Ben Blotz

Food Technology Magazine

Precision Technologies

Learn how genetics, multi-omics tools, wearables, and AI are advancing precision nutrition and predicting individual dietary responses.
Clinical Evidence

Discover what current evidence shows about personalized nutrition for sports performance and metabolic health, and where gaps remain.
Research Challenges

Gain insight into key challenges and future needs in precision nutrition research, including data access, ethics, and algorithm reliability.

Advances in nutrition science are transforming the way dietitians tailor eating plans, moving from generalized advice to approaches informed by genetics, microbiome data, and other molecular-level insights. By integrating biological measures with social, environmental, and lifestyle factors, personalized nutrition aims to deliver highly targeted, actionable recommendations that fit each individual’s unique circumstances. Emerging tools like artificial intelligence and machine learning (AI/ML) are enabling scientists to analyze vast datasets, linking diet patterns to specific health outcomes with unprecedented precision.

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Authors

Joanne Slavin PhD

Joanne Slavin, PhD, is a professor in the Department of Food Science and Nutrition at the University of Minnesota, Twin Cities, and served as a member of the 2010 Dietary Guidelines Advisory Committee (jslavin@umn.edu).
Ben Blotz

Ben Blotz is pursuing his MS degree in nutrition in the Department of Food Science and Nutrition, University of Minnesota–Twin Cities (blotz004@umn.edu).