IDEAS home Printed from https://ideas.repec.org/a/plo/pbio00/3003888.html

Why biology must prioritize data reanalysis in the era of artificial intelligence

Author

Listed:
  • Daniel Ghaderi
  • Ali Sahimi
  • Benjamin Esser
  • Kelly V Ruggles
  • Roy Maimon

Abstract

New technologies have generated huge volumes of biological data, much of which is underutilized. AI-assisted data reanalysis could drive the next era of biological discovery, but realizing its full potential requires standards, validation, and responsible use.New technologies have generated an unprecedented volume of biological data, much of which remains underutilized. This Perspective argues that the next era of biological discovery is likely to emerge from AI-driven data reanalysis, but realizing its full potential will require standards, validation, and responsible use.

Suggested Citation

  • Daniel Ghaderi & Ali Sahimi & Benjamin Esser & Kelly V Ruggles & Roy Maimon, 2026. "Why biology must prioritize data reanalysis in the era of artificial intelligence," PLOS Biology, Public Library of Science, vol. 24(7), pages 1-4, July.
    • Handle: RePEc:plo:pbio00:3003888
    DOI: 10.1371/journal.pbio.3003888
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003888
    Download Restriction: no
    File URL: https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3003888&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pbio.3003888?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:3003888. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.