Utilizing Machine Learning Approaches to Understand the Interrelationship of Diet, the Human Gastrointestinal Microbiome, and Health
Utilizing Machine Learning Approaches to Understand the Interrelationship of Diet, the Human Gastrointestinal Microbiome, and Health
Heather M. Guetterman,L. Auvil,5 Authors,H. Holscher
TLDR
A growing body of literature supports the ability of specific foods and nutrients to impact the gastrointestinal microbiome, but there is a dearth of knowledge on the interplay of dietary components, gastrointestinal bacteria, and bacterial metabolites.
Abstract
A growing body of literature supports the ability of specific foods and nutrients to impact the gastrointestinal microbiome. However, there is a dearth of knowledge on the interplay of dietary components (e.g. foods and nutrients), gastrointestinal bacteria, and bacterial metabolites. Current analytical approaches limit investigation of these complex interrelations; therefore, further research utilizing modern machine learning methods is needed.