Tom Coenye

Evaluation of a novel isothermal microcalorimetry-based sterility test

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

Harnessing machine learning to predict antibiotic susceptibility in Pseudomonas aeruginosa biofilms

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.

Identification of echinacoside as a tobramycin potentiator against Pseudomonas aeruginosa aggregates

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.

Genome-Scale Modeling of Rothia mucilaginosa Reveals Insights into Metabolic Capabilities and Therapeutic Strategies for Cystic Fibrosis

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.