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Antimicrobial susceptibility prediction from genomes: a dream come true?
Werner, Guido; Aamot, Hege Vangstein; Couto, Natacha.
Afiliación
  • Werner G; Department 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. Electronic address: wenerg@rki.de.
  • Aamot HV; Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway; ESCMID Study Group for Epidemiological Markers - ESGEM; ESCMID Study Group for Genomic and Molecular Diagnostics - ESGMD.
  • Couto N; 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.
Trends Microbiol ; 32(4): 317-318, 2024 Apr.
Article en 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 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enterococcus faecium / Antiinfecciosos Límite: Humans Idioma: En Revista: Trends Microbiol Asunto de la revista: MICROBIOLOGIA Año: 2024 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enterococcus faecium / Antiinfecciosos Límite: Humans Idioma: En Revista: Trends Microbiol Asunto de la revista: MICROBIOLOGIA Año: 2024 Tipo del documento: Article