1.
Trends Microbiol
; 32(4): 317-318, 2024 Apr.
Artículo
en Inglés
| MEDLINE
| ID: mdl-38433028
RESUMEN
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.