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

Name: Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF MS
Creator: Hoai An Nguyen
Published: 2024-06-11T16:52:20.995Z
Keywords: Mass Spectrometry, 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/tpcznh9968.1

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

Published: 11 June 2024| Version 1 | DOI: 10.17632/tpcznh9968.1

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

Description

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

Files

Institutions

Monash University

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

Description

Files

Institutions

Categories

Licence