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Artificial intelligence and cancer

Nature Cancer volume 1, pages 149–152 (2020)Cite this article

Filtered through the analytical power of artificial intelligence, the wealth of available biomedical data promises to revolutionize cancer research, diagnosis and care. In this Viewpoint, six experts discuss some of the challenges, exciting developments and future questions arising at the interface of machine learning and oncology.

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Authors and Affiliations

  1. Lewis–Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA

    Olga Troyanskaya

  2. Flatiron Institute, Simons Foundation, New York, NY, USA

    Olga Troyanskaya

  3. Department of Computer Science, Princeton University, Princeton, NJ, USA

    Olga Troyanskaya

  4. Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria

    Zlatko Trajanoski

  5. Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Anne Carpenter

  6. Department of Computer Science, Stanford University, Stanford, CA, USA

    Sebastian Thrun

  7. Center for Healthcare Innovation and Delivery Sciences, Department of Radiology and Department of Population Health, NYU Langone Medical Center, New York, NY, USA

    Narges Razavian

  8. Data-Pop Alliance, New York, NY, USA

    Nuria Oliver

  9. Vodafone Research, Berlin, Germany

    Nuria Oliver

Authors
  1. Olga Troyanskaya
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  2. Zlatko Trajanoski
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  3. Anne Carpenter
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  4. Sebastian Thrun
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  5. Narges Razavian
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  6. Nuria Oliver
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Corresponding authors

Correspondence to Olga Troyanskaya, Zlatko Trajanoski, Anne Carpenter, Sebastian Thrun, Narges Razavian or Nuria Oliver.

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The authors declare no competing interests.

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Cite this article

Troyanskaya, O., Trajanoski, Z., Carpenter, A. et al. Artificial intelligence and cancer. Nat Cancer 1, 149–152 (2020). https://doi.org/10.1038/s43018-020-0034-6

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  • DOI: https://doi.org/10.1038/s43018-020-0034-6

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