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2024-03-03Zeitschriftenartikel
Antimicrobial susceptibility prediction from genomes: a dream come true?
dc.contributor.authorWerner, Guido
dc.contributor.authorVangstein Aamot, Hege
dc.contributor.authorCouto, Natacha
dc.date.accessioned2026-02-09T10:03:12Z
dc.date.available2026-02-09T10:03:12Z
dc.date.issued2024-03-03none
dc.identifier.other10.1016/j.tim.2024.02.012
dc.identifier.urihttp://edoc.rki.de/176904/13273
dc.description.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.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectantimicrobial therapyeng
dc.subjectAMR predictioneng
dc.subjectAMR genotypeseng
dc.subjectantibacterialeng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleAntimicrobial susceptibility prediction from genomes: a dream come true?none
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/13273-3
dc.type.versionpublishedVersionnone
local.edoc.container-titleTrends in Microbiologynone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameElsevier B.V.none
local.edoc.container-reportyear2024none
local.edoc.container-firstpage317none
local.edoc.container-lastpage318none
dc.description.versionPeer Reviewednone

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