Luke V. Blakeway

AMR-GNN predicts antimicrobial resistance using a graph neural network framework that integrates multiple genomic representations from whole-genome sequencing data.

The paper develops a phage cocktail, Entelli-02, effective against multidrug-resistant Enterobacter cloacae complex strains with 99% coverage and 92% efficacy in a hospital strain collection.

This paper uses AI with MALDI-TOF mass spectra to predict antibiotic resistance in Pseudomonas aeruginosa, achieving high accuracy for specific drug combinations.

The paper identifies a plasmid (Plasmid A) that transmitted four times into different Klebsiella lineages, causing 50% of ESBL episodes and persisting for 3-6 years, contributing to 21% of ESBL+ infections.