Étienne Ruppé

This study identifies cefiderocol resistance genes in environmental samples using functional metagenomics, revealing beta-lactamases and mobile genetic elements.

This study uses long-read metagenomics to detect Paracoccus yeei in SBP patients, revealing its pathogenicity and antimicrobial resistance profile.

This paper introduces a bioinformatics pipeline for detecting pathogens and antibiotic resistance genes in hospital-acquired pneumonia samples with improved sensitivity.

This study evaluates the accuracy of predicting antibiotic susceptibility from whole-genomic sequencing in Enterobacteriaceae, finding high concordance rates but some errors due to chromosomal gene overexpression.