Abstract
Personalized nutrition aims to enhance human health by tailoring dietary recommendations to individuals based on their physiology. This article covers the concept of personalized nutrition using the example of dietary modulation of the human gut microbiome and implications for human health. It provides readers with a basic understanding of multiomics analyses and machine learning tools and how these may be used by nutrition professionals to evaluate studies involving them and personalized nutrition.