Joshua D. Smith

This study establishes patient-derived organoids (PDOs) for HNSCC drug response testing, integrating AI-driven histopathology and multi-omics analysis to create a scalable preclinical model.

The paper analyzes pathogenic variant frequencies in the All of Us cohort by ancestry, revealing disparities and potential biases in genomic data.

The paper introduces EnzymeExplorer, a machine-learning pipeline that predicts enzyme function, discovering new terpenoid synthases in archaea and expanding their known taxonomic distribution.