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Artificial intelligence enhances genomic surveillance in healthcare outbreak investigations.

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Title: Artificial intelligence enhances genomic surveillance in healthcare outbreak investigations.
Authors: Sundermann A; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA., Chen J; Auton Lab, Carnegie Mellon University, Pittsburgh, PA, USA., Saul M; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA., Shutt K; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Griffith M; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Snyder G; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, PA, USA., Pless LL; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Dubrawski A; Auton Lab, Carnegie Mellon University, Pittsburgh, PA, USA., Harrison L; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Source: Infection control and hospital epidemiology [Infect Control Hosp Epidemiol] 2026 Feb; Vol. 47 (2), pp. 170-174. Date of Electronic Publication: 2025 Nov 14.
Publication Type: Journal Article
Journal Info: Publisher: Cambridge University Press Country of Publication: United States NLM ID: 8804099 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-6834 (Electronic) Linking ISSN: 0899823X NLM ISO Abbreviation: Infect Control Hosp Epidemiol Subsets: MEDLINE
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  Data: Artificial intelligence enhances genomic surveillance in healthcare outbreak investigations.
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  Data: <searchLink fieldCode="AU" term="%22Sundermann+A%22">Sundermann A</searchLink>; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Auton Lab, Carnegie Mellon University, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Saul+M%22">Saul M</searchLink>; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Shutt+K%22">Shutt K</searchLink>; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Griffith+M%22">Griffith M</searchLink>; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Snyder+G%22">Snyder G</searchLink>; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Pless+LL%22">Pless LL</searchLink>; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Dubrawski+A%22">Dubrawski A</searchLink>; Auton Lab, Carnegie Mellon University, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Harrison+L%22">Harrison L</searchLink>; Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburghhttps://ror.org/01an3r305, Pittsburgh, PA, USA.; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
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  Data: <searchLink fieldCode="JN" term="%228804099%22">Infection control and hospital epidemiology</searchLink> [Infect Control Hosp Epidemiol] 2026 Feb; Vol. 47 (2), pp. 170-174. <i>Date of Electronic Publication: </i>2025 Nov 14.
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        Value: 10.1017/ice.2025.10355
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        Text: English
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              Text: 2026 Feb
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