Tom Coenye

This study evaluates a novel isothermal microcalorimetry-based sterility test, finding it more sensitive and faster than the traditional USP sterility test.

The paper uses machine learning to predict tobramycin susceptibility in Pseudomonas aeruginosa biofilms using multiple analytical methods, achieving high accuracy with MALDI-TOF MS and Raman spectroscopy.

The paper identifies echinacoside as a tobramycin potentiator that reduces c-di-GMP levels and aggregate size in Pseudomonas aeruginosa, enhancing antibiotic efficacy against biofilms.

The paper develops a genome-scale metabolic model for Rothia mucilaginosa to predict its metabolic capabilities and identify potential antimicrobial targets for cystic fibrosis treatment.