Digital microbiology.

Journal: Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
PMID: 32603804

Abstract

BACKGROUND: Digitalization and artificial intelligence have an important impact on the way microbiology laboratories will work in the near future. Opportunities and challenges lie ahead to digitalize the microbiological workflows. Making efficient use of big data, machine learning, and artificial intelligence in clinical microbiology requires a profound understanding of data handling aspects.

Authors

  • A Egli
    Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland; Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland. Electronic address: adrian.egli@usb.ch.
  • J Schrenzel
    Bacteriology Laboratory, Service of Infectious Diseases, University of Geneva Hospitals and Medical Faculty, Geneva, Switzerland.
  • G Greub
    Institute of Medical Microbiology, University Hospital Lausanne, Lausanne, Switzerland.

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