The Hallmarks of Predictive Oncology.

Journal: Cancer discovery
Published Date: Feb 7, 2025

Abstract

As the field of artificial intelligence evolves rapidly, these hallmarks are intended to capture fundamental, complementary concepts necessary for the progress and timely adoption of predictive modeling in precision oncology. Through these hallmarks, we hope to establish standards and guidelines that enable the symbiotic development of artificial intelligence and precision oncology.

Authors

  • Akshat Singhal
    Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
  • Xiaoyu Zhao
    Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
  • Patrick Wall
    UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, and School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
  • Emily So
    Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Guido Calderini
    Faculty of Health Science, Simon Fraser University, Burnaby, Canada.
  • Alexander Partin
    Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL, 60439, USA.
  • Natasha Koussa
    Cancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
  • Priyanka Vasanthakumari
    Division of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.
  • Oleksandr Narykov
    Division of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.
  • Yitan Zhu
    Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL, 60439, USA. yitan.zhu@anl.gov.
  • Sara E Jones
    Cancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
  • Farnoosh Abbas-Aghababazadeh
    Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Sisira Kadambat Nair
    Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Jean-Christophe Bélisle-Pipon
    Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
  • Athmeya Jayaram
    The Hastings Center, Garrison, New York.
  • Barbara A Parker
    Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Kay T Yeung
    Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Jason I Griffiths
    Department of Medical Oncology and Therapeutics Research, Beckman Research Institute, City of Hope National Medical Center, Monrovia, California.
  • Ryan Weil
    Cancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
  • Aritro Nath
    Department of Medical Oncology and Therapeutics Research, Beckman Research Institute, City of Hope National Medical Center, Monrovia, California.
  • Benjamin Haibe-Kains
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Trey Ideker

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