Artificial neural networks for multi-omics classifications of hepato-pancreato-biliary cancers: towards the clinical application of genetic data.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: May 1, 2021

Abstract

PURPOSE: Several multi-omics classifications have been proposed for hepato-pancreato-biliary (HPB) cancers, but these classifications have not proven their role in the clinical practice and been validated in external cohorts.

Authors

  • Fabio Bagante
    Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Gaya Spolverato
    Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA; Department of Surgery, University of Padova, Padova, Italy.
  • Andrea Ruzzenente
    Department of Surgery, University of Verona, Verona, Italy.
  • Claudio Luchini
    Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Diamantis I Tsilimigras
    Department of Surgery, Division of Surgical Oncology, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Tommaso Campagnaro
    Department of Surgery, University of Verona, Verona, Italy.
  • Simone Conci
    Department of Surgery, University of Verona, Verona, Italy.
  • Vincenzo Corbo
    Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Aldo Scarpa
    Department of Diagnostics and Public Health, University of Verona, Verona, Italy; ARC-Net Research Centre, University of Verona, Verona, Italy.
  • Alfredo Guglielmi
    Department of Surgery, University of Verona, Verona, Italy.
  • Timothy M Pawlik
    Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH.

Keywords

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