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Fighting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
Ariane Khaledi, View ORCID ProfileAaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu-Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel Jonas, Mohammad R.K. Mofrad, View ORCID ProfileAndreas Bremges, Alice C. McHardy, Susanne Häussler
doi: https://doi.org/10.1101/643676
Ariane Khaledi
1Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany
2Molecular Bacteriology, TWINCORE, Centre for Experimental and Clinical Infection Research, Hannover, Germany
Aaron Weimann
2Molecular Bacteriology, TWINCORE, Centre for Experimental and Clinical Infection Research, Hannover, Germany
3Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
4German Center for Infection Research (DZIF), Braunschweig, Germany
Monika Schniederjans
1Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany
2Molecular Bacteriology, TWINCORE, Centre for Experimental and Clinical Infection Research, Hannover, Germany
Ehsaneddin Asgari
3Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
8Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, USA
Tzu-Hao Kuo
3Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
Antonio Oliver
5Servicio de Microbiología and Unidad de Investigación Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISPa), Palma de Mallorca, Spain
Gabriel Cabot
5Servicio de Microbiología and Unidad de Investigación Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISPa), Palma de Mallorca, Spain
Axel Kola
6Charité - Universitätsmedizin Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
Petra Gastmeier
6Charité - Universitätsmedizin Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
Michael Hogardt
7Institute of Medical Microbiology and Infection Control, University Hospital Frankfurt, Frankfurt/Main, Germany
Daniel Jonas
10Institute for Infection Prevention and Hospital Epidemiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
Mohammad R.K. Mofrad
8Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, USA
9Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Lab, Berkeley, USA
Andreas Bremges
3Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
4German Center for Infection Research (DZIF), Braunschweig, Germany
Alice C. McHardy
3Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
4German Center for Infection Research (DZIF), Braunschweig, Germany
Susanne Häussler
1Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany
2Molecular Bacteriology, TWINCORE, Centre for Experimental and Clinical Infection Research, Hannover, Germany
Article usage
Posted May 24, 2019.
Fighting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
Ariane Khaledi, Aaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu-Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel Jonas, Mohammad R.K. Mofrad, Andreas Bremges, Alice C. McHardy, Susanne Häussler
bioRxiv 643676; doi: https://doi.org/10.1101/643676
Fighting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
Ariane Khaledi, Aaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu-Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel Jonas, Mohammad R.K. Mofrad, Andreas Bremges, Alice C. McHardy, Susanne Häussler
bioRxiv 643676; doi: https://doi.org/10.1101/643676
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