Antimicrobial susceptibility prediction from genomes: a dream come true?
Trends Microbiol
; 32(4): 317-318, 2024 Apr.
Article
em En
| MEDLINE
| ID: mdl-38433028
ABSTRACT
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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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Enterococcus faecium
/
Anti-Infecciosos
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article