Dr Andrew Buultjens discusses machine learning and pinpointing Legionnaires’ disease

Dr Andrew Buultjens, Research Officer, Microbiology and Immunology was recently interviewed for the PDI Podcast. His pioneering work is at the intersection of microbiology and data science with a focus on leveraging machine learning for public health advancements.

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

This article was originally published on 16 February 2024 by the Peter Doherty Institute for Infection & Immunity.

The Doherty Institute is a joint venture between the University of Melbourne and The Royal Melbourne Hospital.