Hannah D. Holscher

This paper introduces MEDI, a method to estimate dietary intake from stool metagenomes by analyzing food-derived DNA, showing accurate detection of food items and prediction of dietary patterns.

This study quantifies and characterizes dietary fiber in Hass avocados across ripening stages, showing a decrease in total fiber with ripening and changes in fiber composition.

The paper uses fecal metagenomics and machine learning to identify KEGG Orthology categories as biomarkers for food intake classification in controlled nutrition trials.