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Pan-cancer integrative histology-genomic analysis via multimodal deep learning.
Chen, Richard J; Lu, Ming Y; Williamson, Drew F K; Chen, Tiffany Y; Lipkova, Jana; Noor, Zahra; Shaban, Muhammad; Shady, Maha; Williams, Mane; Joo, Bumjin; Mahmood, Faisal.
Affiliation
  • Chen RJ; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of H
  • Lu MY; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Ha
  • Williamson DFK; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Ha
  • Chen TY; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA.
  • Lipkova J; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA.
  • Noor Z; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Shaban M; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Ha
  • Shady M; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Canc
  • Williams M; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of H
  • Joo B; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Mahmood F; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Ha
Cancer Cell ; 40(8): 865-878.e6, 2022 08 08.
Article in En | MEDLINE | ID: mdl-35944502
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cancer Cell Journal subject: NEOPLASIAS Year: 2022 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cancer Cell Journal subject: NEOPLASIAS Year: 2022 Document type: Article