Machine Learning Approach for Candida albicans Fluconazole Resistance Detection Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

Machine Learning Approach for Candida albicans Fluconazole Resistance Detection Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

Candida albicans causes life-threatening systemic infections in immunosuppressed patients. These infections are commonly treated with fluconazole, an antifungal agent targeting the ergosterol biosynthesis pathway. Current Antifungal Susceptibility Testing (AFST) methods are time-consuming and are of...

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Bibliographic Details
Main Authors: Margot Delavy, Lorenzo Cerutti, Antony Croxatto, Guy Prod’hom, Dominique Sanglard, Gilbert Greub, Alix T. Coste
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Microbiology
Subjects:
machine learning
MALDI-TOF MS
Candida albicans
fluconazole resistance
diagnostic
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2019.03000/full

Internet

https://www.frontiersin.org/article/10.3389/fmicb.2019.03000/full

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