Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra

Name: Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra
Creator: Hoai An Nguyen
Published: 2024-02-05T08:29:09.893Z
Keywords: Matrix-Assisted Laser Desorption-Ionization

Nguyen, Hoai An; Peleg, Anton Y; Song, Jiangning; Antony, Bhavna; Webb, Geoffrey I; Wisniewski, Jessica A; Blakeway, Luke V; Badoordeen, Gnei Z; Theegala, Ravali; Zisis, Helen; Dowe, David L; Macesic, Nenad

doi:10.17632/ph9nd5tzhc.1

Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra

Published: 5 February 2024| Version 1 | DOI: 10.17632/ph9nd5tzhc.1

Contributors:

Hoai An Nguyen, Anton Y Peleg, Jiangning Song, Bhavna Antony, Geoffrey I Webb, Jessica A Wisniewski, Luke V Blakeway, Gnei Z Badoordeen, Ravali Theegala, Helen Zisis, David L Dowe, Nenad Macesic

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AST results for the article entitled "Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra".

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Monash University, Monash University Central Clinical School

Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra

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