Food Technology Magazine | Applied Science

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.

By Joanne Slavin, Ben Blotz

January 28, 2026

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) ar…

Premium Content

You've reached your monthly limit of free articles.

Access Food Technology

About the Authors

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