Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.

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Bibliographic Details
Title: Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.
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
Description
ISSN:1530-0285
DOI:10.1016/j.modpat.2026.100973