Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning

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Bibliographic informationDocument typeArticle
DOI10.1038/s41591-021-01619-9
EID2-s2.0-85122692995
Original languageEnglish
Publication dateJanuary 2022
PubMed ID3501361335013613
Source typeJournal
ISSN10788956
PublisherNature Research
Publication year2022
Source titleNature Medicine
Volume28
Issue1
Pages164 - 174
CODENNAMEF
Authors (12)

Weis, Carolinea,bSend mail to Weis C.
Cuénod, Alinec,d
Rieck, Bastiana,b
Dubuis, Oliviere
Graf, Susannef
Lang, Claudiae
Oberle, Michaelg
Brackmann, Maximilianh
Søgaard, Kirstine K.c,d
Osthoff, Michaeli,j
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Author affiliations (10)

aDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
bSIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
cApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland
dDivision of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland
eViollier AG, Allschwil, Switzerland
fDepartment for Microbiology, Canton Hospital Basel-Land, Liestal, Switzerland
gInstitute for Laboratory Medicine, Medical Microbiology, Cantonal Hospital Aarau, Aarau, Switzerland
hProteomics, Bioinformatics and Toxins, Spiez Laboratory, Federal Office for Civil Protection, Spiez, Switzerland
iDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel and University of Basel, Basel, Switzerland
jDepartment of Internal Medicine, University Hospital Basel and University of Basel, Basel, Switzerland

[Other] Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning

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