Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics-Reference-Cited by-同舟云学术

Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics

Published:2020-02-12 Issue:3 Volume:12 Page:
ISSN:1757-4676
Container-title:EMBO Molecular Medicine
language:en
Short-container-title:EMBO Mol Med

Author:

Khaledi Ariane¹²,Weimann Aaron²³⁴^ORCID,Schniederjans Monika¹²,Asgari Ehsaneddin³⁵,Kuo Tzu‐Hao³,Oliver Antonio⁶,Cabot Gabriel⁶,Kola Axel⁷,Gastmeier Petra⁷,Hogardt Michael⁸,Jonas Daniel⁹,Mofrad Mohammad RK⁵¹⁰,Bremges Andreas³⁴^ORCID,McHardy Alice C³⁴^ORCID,Häussler Susanne¹²^ORCID

Affiliation:

1. Department of Molecular Bacteriology Helmholtz Centre for Infection Research Braunschweig Germany

2. Molecular Bacteriology Group TWINCORE‐Centre for Experimental and Clinical Infection Research Hannover Germany

3. Computational Biology of Infection Research Helmholtz Centre for Infection Research Braunschweig Germany

4. German Center for Infection Research (DZIF) Braunschweig Germany

5. Molecular Cell Biomechanics Laboratory Departments of Bioengineering and Mechanical Engineering University of California Berkeley CA USA

6. Servicio de Microbiología y Unidad de Investigación Hospital Universitario Son Espases Instituto de Investigación Sanitaria Illes Balears (IdISPa) Palma de Mallorca Spain

7. Institute of Hygiene and Environmental Medicine Charité – Universitätsmedizin Berlin Berlin Germany

8. Institute of Medical Microbiology and Infection Control University Hospital Frankfurt Frankfurt/Main Germany

9. Faculty of Medicine Institute for Infection Prevention and Hospital Epidemiology Medical Center‐University of Freiburg Freiburg Germany

10. Molecular Biophysics and Integrated Bioimaging Division Lawrence Berkeley National Lab Berkeley CA USA

Funder

FP7 Ideas: European Research Council

Instituto de Salud Carlos III

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Publisher

EMBO

Subject

Molecular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/emmm.201910264

Reference85 articles.

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4. Constitutive High Expression of Chromosomal β-Lactamase in Pseudomonas aeruginosa Caused by a New Insertion Sequence (IS 1669 ) Located in ampD

5. The Regulatory Repertoire of Pseudomonas aeruginosa AmpC ß-Lactamase Regulator AmpR Includes Virulence Genes

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