Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus.
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| Title: | Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus. |
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| Authors: | Lin YS; Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Wong RC; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China., Yu J; ASTAI, Taichung City, Taiwan., Yang K; Department of Statistics, University of Oxford, Oxford, United Kingdom., Wong LC; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China., Leung HF; Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Cheung IY; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China., Chow VC; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China., Tien N; Department of Laboratory Medicine, China Medical University Hospital, Taichung City, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung City, Taiwan., You BJ; Department of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan., Lai CK; Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Ip M; Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 May 05; Vol. 22 (5), pp. e1013760. Date of Electronic Publication: 2026 May 05 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013760 |
