MALDI-TOF MS in conjunction with machine learning: toward a new era for antimicrobial susceptibility testing.

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Bibliographic Details
Title: MALDI-TOF MS in conjunction with machine learning: toward a new era for antimicrobial susceptibility testing.
Authors: Wang M; Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China., Xia W; College of Medical Technology, Beihua University, Jilin, Jilin, China., Du J; Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China., Ma H; Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China., Sun B; Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China., Jiang H; Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China., Xu J; Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China.
Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 Jan 23; Vol. 15, pp. 1731083. Date of Electronic Publication: 2026 Jan 23 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2235-2988
DOI:10.3389/fcimb.2025.1731083