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

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 often subjective. M...

Full description

Bibliographic Details

Published in:	Frontiers in microbiology Vol. 10; p. 3000
Main Authors:	Delavy, Margot, Cerutti, Lorenzo, Croxatto, Antony, Prod’hom, Guy, Sanglard, Dominique, Greub, Gilbert, Coste, Alix T.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 14.01.2020
Subjects:	Candida albicans diagnostic fluconazole resistance machine learning MALDI-TOF MS Microbiology Candida albicans MALDI-TOF MS diagnostic machine learning fluconazole resistance
ISSN:	1664-302X, 1664-302X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!