M. Hernandez-Garcia

This study tracks the evolution of plasmid-mediated antimicrobial resistance in hospitalized patients, revealing trade-offs between resistance levels and bacterial fitness.

This paper develops machine learning models using MALDI-TOF MS data to accurately differentiate species within the Enterobacter cloacae complex.

This paper introduces a Bayesian model to predict antibiotic resistance in Klebsiella pneumoniae using MALDI-TOF mass spectra, outperforming existing methods by avoiding preprocessing and hyperparameter tuning.

The study determines the distribution of fitness effects for plasmid pOXA-48 in gut bacteria, showing quasi-neutral effects and beneficial effects in some isolates, and links plasmid persistence to bacterial diversity and phylogeny.

This study characterizes the dissemination routes of the carbapenem resistance plasmid pOXA-48 in a hospital setting using mechanistic models and genomic data.