Antimicrobial susceptibility prediction from genomes: a dream come true?

Trends Microbiol. 2024 Mar 2:S0966-842X(24)00052-0. doi: 10.1016/j.tim.2024.02.012. Online ahead of print.ABSTRACTGenome-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.PMID:38433028 | DOI:10.1016/j.tim.2024.02.012
Source: Trends in Microbiology - Category: Microbiology Authors: Source Type: research