Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

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.

The advent of big data in cancer research provides an unprecedented opportunity to integrate information and complex research outputs, which in turn demands powerful computational resources. Through its formidable analytical power, artificial intelligence holds the promise of transforming the way we study, diagnose and treat cancer.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Learn more

Prices may be subject to local taxes which are calculated during checkout

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zlatko Trajanoski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anne Carpenter
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sebastian Thrun
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Narges Razavian
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Nuria Oliver
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

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

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

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

Download citation

  • Published:

  • Issue Date:

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

This article is cited by

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing