A Novel Artificial Intelligence-Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers.

Journal: JCO clinical cancer informatics
Published Date: Feb 1, 2022

Abstract

PURPOSE: To develop a novel artificial intelligence (AI)-powered method for the prediction of prostate cancer (PCa) early recurrence and identification of driver regions in PCa of all Gleason Grade Group (GGG).

Authors

  • Wei Huang
    Shaanxi Institute of Flexible Electronics, Northwestern Polytechnical University, 710072 Xi'an, China.
  • Ramandeep Randhawa
    PathomIQ, Inc, Cupertino, CA.
  • Parag Jain
    PathomIQ, Inc, Cupertino, CA.
  • Samuel Hubbard
    Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI.
  • Jens Eickhoff
    Department of Biostatistics and Informatics, University of Wisconsin-Madison, Madison, WI.
  • Shivaani Kummar
    PathomIQ, Inc, Cupertino, CA.
  • George Wilding
    PathomIQ, Inc, Cupertino, CA.
  • Hirak Basu
    Department of Genitourinary Medical Oncology, MD Anderson Cancer Center, Houston, TX.
  • Rajat Roy
    PathomIQ, Inc, Cupertino, CA.

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