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Speaker: Prof Adrian Egli (University of Zurich)

Time/Date: 1-2pm Friday 21 February 2025 (AEDT)

Location: G31 Old Main Building, UNSW Sydney (Nearest entry Gate 14 Barker Street)

Abstract: Artificial intelligence and machine learning allow to analyze complex data in medicine – however, the implementation is much slower than in other fields. Why is this? A series of important challenges including the multi-dimensionality and complexity of the medical data, the scars events and high dynamic of diseases, as well as the regulatory space play a critical role. Nevertheless, in medical microbiology in a few steps of the pre-to-postanalytical workflow AI can and is increasingly used. We will critically discuss these use cases and in an outlook, we will discuss likely future scenarios.

Bio: Prof. Adrian Egli is a renowned clinical microbiologist with an extensive background in microbiological diagnostics and molecular epidemiology. His research focuses on host-pathogen interactions, antimicrobial resistance mechanisms, and the development of innovative diagnostic tools. With a significant publication record, an H-index of 51, and over 9,700 citations, Dr. Egli's contributions span across infectious disease surveillance, novel technologies for species identification, and AI-driven diagnostic solutions. His expertise is instrumental in advancing public health measures, particularly in developing harmonized microbiology datasets and fostering global pathogen surveillance systems.