Peter A. R. Vandamme

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 introduces Maldi Transformer, a pre-trained model for MALDI-TOF MS data that improves prediction tasks through self-supervised learning.

The paper introduces the GEN-ERA toolbox, a unified bioinformatics workflow for microbial genomics that enables reproducible phylogenetic and metabolic analyses on bacteria and small eukaryotes.

The paper uses whole genome sequences of 75 Snodgrassella strains to show the genus comprises at least seven species, with two formally named, and identifies 107 species-specific genes.