Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.
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| Title: | Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. |
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| Authors: | Saha M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Tran TV; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Bhawsar PM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Zhang T; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Zhao W; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Hoang PH; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Mutreja K; Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick, Maryland., Lawrence SM; Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick, Maryland., Rothman N; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Lan Q; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Homer R; Department of Pathology, Yale School of Medicine, New Haven, Connecticut., Baine MK; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York., Sholl LM; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts., Joubert P; Faculté de médecine, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Laval, Québec, Canada., Leduc C; Department of Pathology, Centre Hospitalier de l'Université de Montréal, Montreal, Québec, Canada., Travis WD; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York., Chanock SJ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Shi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Yang SR; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York., Almeida JS; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland., Landi MT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: landim@nih.gov. |
| Source: | Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc [Mod Pathol] 2026 Apr; Vol. 39 (4), pp. 100973. Date of Electronic Publication: 2026 Feb 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 8806605 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0285 (Electronic) Linking ISSN: 08933952 NLM ISO Abbreviation: Mod Pathol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41638573 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Saha+M%22">Saha M</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Tran+TV%22">Tran TV</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Bhawsar+PM%22">Bhawsar PM</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Zhang+T%22">Zhang T</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Zhao+W%22">Zhao W</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Hoang+PH%22">Hoang PH</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Mutreja+K%22">Mutreja K</searchLink>; Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick, Maryland.<br /><searchLink fieldCode="AU" term="%22Lawrence+SM%22">Lawrence SM</searchLink>; Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick, Maryland.<br /><searchLink fieldCode="AU" term="%22Rothman+N%22">Rothman N</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Lan+Q%22">Lan Q</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Homer+R%22">Homer R</searchLink>; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Baine+MK%22">Baine MK</searchLink>; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.<br /><searchLink fieldCode="AU" term="%22Sholl+LM%22">Sholl LM</searchLink>; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Joubert+P%22">Joubert P</searchLink>; Faculté de médecine, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Laval, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Leduc+C%22">Leduc C</searchLink>; Department of Pathology, Centre Hospitalier de l'Université de Montréal, Montreal, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Travis+WD%22">Travis WD</searchLink>; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.<br /><searchLink fieldCode="AU" term="%22Chanock+SJ%22">Chanock SJ</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Shi+J%22">Shi J</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Yang+SR%22">Yang SR</searchLink>; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.<br /><searchLink fieldCode="AU" term="%22Almeida+JS%22">Almeida JS</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Landi+MT%22">Landi MT</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: landim@nih.gov. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228806605%22">Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc</searchLink> [Mod Pathol] 2026 Apr; Vol. 39 (4), pp. 100973. <i>Date of Electronic Publication: </i>2026 Feb 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8806605 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1530-0285 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208933952%22">08933952 </searchLink><i>NLM ISO Abbreviation: </i>Mod Pathol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41638573 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.modpat.2026.100973 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100973 Titles: – TitleFull: Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saha M – PersonEntity: Name: NameFull: Tran TV – PersonEntity: Name: NameFull: Bhawsar PM – PersonEntity: Name: NameFull: Zhang T – PersonEntity: Name: NameFull: Zhao W – PersonEntity: Name: NameFull: Hoang PH – PersonEntity: Name: NameFull: Mutreja K – PersonEntity: Name: NameFull: Lawrence SM – PersonEntity: Name: NameFull: Rothman N – PersonEntity: Name: NameFull: Lan Q – PersonEntity: Name: NameFull: Homer R – PersonEntity: Name: NameFull: Baine MK – PersonEntity: Name: NameFull: Sholl LM – PersonEntity: Name: NameFull: Joubert P – PersonEntity: Name: NameFull: Leduc C – PersonEntity: Name: NameFull: Travis WD – PersonEntity: Name: NameFull: Chanock SJ – PersonEntity: Name: NameFull: Shi J – PersonEntity: Name: NameFull: Yang SR – PersonEntity: Name: NameFull: Almeida JS – PersonEntity: Name: NameFull: Landi MT IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Apr Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1530-0285 Numbering: – Type: volume Value: 39 – Type: issue Value: 4 Titles: – TitleFull: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Type: main |
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