| Title: |
Identification of Mycobacterium abscessus Subspecies by MALDI-TOF Mass Spectrometry and Machine Learning |
| Authors: |
Rodríguez-Temporal, David; Herrera, Laura; Alcaide, Fernando; Domingo, Diego; Héry-Arnaud, Genevieve; van Ingen, Jakko; Van den Bossche, An; Ingebretsen, André; Beauruelle, Clémence; Terschlüsen, Eva; Boarbi, Samira; Vila, Neus; Arroyo, Manuel J.; Méndez, Gema; Muñoz, Patricia; Mancera, Luis; Ruiz-Serrano, María Jesús; Rodríguez-Sánchez, Belén |
| Contributors: |
Miller, Melissa B.; MEC | Instituto de Salud Carlos III; Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica |
| Source: |
Journal of Clinical Microbiology ; volume 61, issue 1 ; ISSN 0095-1137 1098-660X |
| Publisher Information: |
American Society for Microbiology |
| Publication Year: |
2023 |
| Description: |
Mycobacterium abscessus is one of the most common and pathogenic nontuberculous mycobacteria (NTM) isolated in clinical laboratories. It consists of three subspecies: M. abscessus subsp. abscessus , M. abscessus subsp. bolletii , and M. abscessus subsp. massiliense . |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1128/jcm.01110-22 |
| Availability: |
https://doi.org/10.1128/jcm.01110-22; https://journals.asm.org/doi/pdf/10.1128/jcm.01110-22 |
| Rights: |
https://doi.org/10.1128/ASMCopyrightv2 ; https://journals.asm.org/non-commercial-tdm-license |
| Accession Number: |
edsbas.72FDF813 |
| Database: |
BASE |