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Machine learning reveals microbiome differences by periodontitis severity.

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Title: Machine learning reveals microbiome differences by periodontitis severity.
Authors: Seo SH; Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.; Department of Genomic Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Lee JW; Accugene Inc., Incheon, Republic of Korea., Oh S; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea., Hong JS; Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Lee BS; Accugene Inc., Incheon, Republic of Korea., Kwon SJ; Accugene Inc., Incheon, Republic of Korea., Kim KS; Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Park JS; Department of Periodontology, Korea University Anam Hospital, Seoul, Republic of Korea., Heo JS; Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea.; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea., Ahn KH; Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Republic of Korea., Lee HJ; Department of Genomic Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Park KU; Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Source: PloS one [PLoS One] 2026 May 21; Vol. 21 (5), pp. e0349686. Date of Electronic Publication: 2026 May 21 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning reveals microbiome differences by periodontitis severity.
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  Data: <searchLink fieldCode="AU" term="%22Seo+SH%22">Seo SH</searchLink>; Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.; Department of Genomic Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+JW%22">Lee JW</searchLink>; Accugene Inc., Incheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Oh+S%22">Oh S</searchLink>; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hong+JS%22">Hong JS</searchLink>; Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+BS%22">Lee BS</searchLink>; Accugene Inc., Incheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+SJ%22">Kwon SJ</searchLink>; Accugene Inc., Incheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+KS%22">Kim KS</searchLink>; Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+JS%22">Park JS</searchLink>; Department of Periodontology, Korea University Anam Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Heo+JS%22">Heo JS</searchLink>; Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea.; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ahn+KH%22">Ahn KH</searchLink>; Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+HJ%22">Lee HJ</searchLink>; Department of Genomic Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+KU%22">Park KU</searchLink>; Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 May 21; Vol. 21 (5), pp. e0349686. <i>Date of Electronic Publication: </i>2026 May 21 (<i>Print Publication: </i>2026).
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