FEB 14, 2020 11:30 AM SGT

Introducing Flow Cytometry-assisted Antimicrobial Susceptibility Testing (FAST)

Speaker
  • Head, Division of Pathology and Laboratory Medicine, University of Australia
    Biography
      Dr. Tim Inglis is a clinical microbiologist in Perth, Western Australia, where he leads a translational biomedical research team. In the last five years, his team has developed a method of rapidly detecting antimicrobial effects that aligns closely with the current reference standard; the broth microdilution method of determining minimum inhibitory concentration. Dr. Inglis is Head of the Division of Pathology and Laboratory Medicine at the University of Western Australia, a consultant microbiologist with PathWest Laboratory Medicine, and co-founder of Lab Without Walls, a not-for-profit organization that develops pathology capability for rural, remote and regional communities. His Encompass Consortium has entered for the UK Longitude Prize, and has attracted support from the Bill and Melinda Gates Foundation.

    Abstract

    DATE:  February 14, 2020

    TIME:   11:30am SGT, 2:30pm AET

     

    Antimicrobial resistance is a growing threat to the health and safety of the world’s population. The World Health Organisation recognizes faster, more accurate laboratory detection of antimicrobial resistance as a key contributor to protecting the efficacy of our dwindling stock of antibiotics. However, useful mechanism-based methods of resistance detection are for surveillance, they do not provide the guidance physicians need to make confident decisions about antibiotic choice at the point of care. The currently used susceptibility testing methods take too long, and in some cases are poor predictors of treatment efficacy. Clearly, new methods are needed that combine speed and accuracy. This is where FAST comes in. The combination of speed, accuracy and broad drug/bug combination applicability makes the FAST method an attractive solution to the susceptibility testing capability gap. We recently demonstrated same-day susceptibility results by combining the FAST method with machine learning-based data analysis. In this webinar we introduce the FAST method, demonstrate its breadth of application and show how the data can be analysed with currently available open source software.

     

    Learning Objectives:

    • Discuss Flow cytometry-assisted antimicrobial susceptibility testing (FAST)
    • Demonstrate the FAST method key features
    • Describe and understand the power of bacterial population analysis for antimicrobial susceptibility determination

     

    Webinars will be available for unlimited on-demand viewing after live event.

     

    LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.


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