Antimicrobial susceptibility prediction from genomes: a dream come true?

Trends Microbiol

Centre for Genomic Pathogen Surveillance, Pandemic Sciences Institute, University of Oxford, Oxford, UK; ESCMID Study Group for Epidemiological Markers - ESGEM; ESCMID Study Group for Genomic and Molecular Diagnostics - ESGMD.

Published: April 2024

Genome-based diagnostics provides relevant information to guide patient treatment and support pathogen and resistance surveillance. Recently, Coll et al. introduced a curated database for predicting antimicrobial resistance (AMR) from Enterococcus faecium genomics data, offering excellent predictive values for susceptibility to important antimicrobials. Challenges to predict resistance to last-resort antimicrobials remain.

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http://dx.doi.org/10.1016/j.tim.2024.02.012DOI Listing

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