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Antimicrobial susceptibility prediction from genomes: a dream come true?
Guido Werner1, Hege Vangstein Aamot2, Natacha Couto3
1Department of Infectious Diseases, Robert Koch Institute, Wernigerode Branch, Wernigerode, Germany; ESCMID Study Group for Epidemiological Markers - ESGEM; ESCMID Study Group for Genomic and Molecular Diagnostics - ESGMD.
None:
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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