How machine learning pinpoints origin of Legionnaires’ disease
Description
Legionnaires’ disease made headlines in Australia at the beginning of the year due to an outbreak of the lung infection in Sydney’s city centre.
Fundamental to effective Legionnaires’ disease outbreak control is the ability to rapidly identify the environmental sources of the causative bacteria, Legionella pneumophila. Could artificial intelligence be the answer?
Dr. Andrew Buultjens is the lead author of a transformative study harnessing the power of machine learning to accurately pinpoint the origins of this bacteria.
Shownotes
Peer review article: Buultjens AH, Vandelannoote K, Mercoulia K, Ballard S, Sloggett C, Howden BP, Seemann T, Stinear TP. 0. High performance Legionella pneumophila source attribution using genomics-based machine learning classification. Appl Environ Microbiol 0:e01292-23.https://doi.org/10.1128/aem.01292-23
NSW Health Legionnaires' disease alert for Sydney CBD
Get in touch
Have a question or topic you'd like us to explore in a future episode? Contact us via email doherty-media@unimelb.edu.au
See omnystudio.com/listener for privacy information.
United States
