Jarrad Hampton‐Marcell

The paper analyzes gut microbiome metadata from the NCBI SRA to assess its structure, completeness, and reusability for large-scale studies and AI model development.

This study shows that housing facility differences in gut microbiome and metabolism confound arsenic effects on glucose homeostasis in mice, with facility explaining more variance than arsenic exposure.

The paper investigates scalp microbiome differences in individuals with self-reported hair loss using 16S rRNA sequencing and machine learning to identify dysbiosis markers.

This paper evaluates microwave sensing to differentiate short-chain fatty acids (SCFAs) and their ratios using dielectric signatures, achieving high accuracy in classification.

This study uses transcriptomic data to infer evolutionary relationships and molecular evolution patterns in Apocynaceae, identifying gene duplications and rate shifts associated with adaptations.

This paper uses meta-analysis and machine learning to show plant-protein diets increase gut microbial diversity and specific taxa, while animal-protein diets favor proteolytic taxa and different metabolic pathways.