Artificial intelligence.

Journal: Cancer cell
Published Date: Jun 10, 2024

Abstract

Experts discuss the challenges and opportunities of using artificial intelligence (AI) to study the evolution of cancer cells and their microenvironment, improve diagnosis, predict treatment response, and ensure responsible implementation in the clinic.

Authors

  • Moritz Gerstung
    European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK. moritz.gerstung@ebi.ac.uk.
  • David Liu
    NASA Jet Propulsion Laboratory, Pasadena, CA.
  • Marzyeh Ghassemi
    Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • James Zou
    Department of Biomedical Data Science, Stanford University, Stanford, California.
  • Diego Chowell
    Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029.
  • Jonas Teuwen
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Faisal Mahmood
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.
  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.

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