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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.
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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  Data: Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus.
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  Data: <searchLink fieldCode="AU" term="%22Lin+YS%22">Lin YS</searchLink>; Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Wong+RC%22">Wong RC</searchLink>; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Yu+J%22">Yu J</searchLink>; ASTAI, Taichung City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yang+K%22">Yang K</searchLink>; Department of Statistics, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Wong+LC%22">Wong LC</searchLink>; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Leung+HF%22">Leung HF</searchLink>; Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Cheung+IY%22">Cheung IY</searchLink>; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Chow+VC%22">Chow VC</searchLink>; Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Tien+N%22">Tien N</searchLink>; Department of Laboratory Medicine, China Medical University Hospital, Taichung City, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung City, Taiwan.<br /><searchLink fieldCode="AU" term="%22You+BJ%22">You BJ</searchLink>; Department of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lai+CK%22">Lai CK</searchLink>; Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Ip+M%22">Ip M</searchLink>; Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 May 05; Vol. 22 (5), pp. e1013760. <i>Date of Electronic Publication: </i>2026 May 05 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE
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              Text: 2026 May 05
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