AI can help to speed up drug discovery — but only if we give it the right data

Marissa Mock, Suzanne Edavettal, Christopher Langmead and Alan Russell ()

Nature, 2023, vol. 621, issue 7979, 467-470

Abstract: Artificial-intelligence tools that enable companies to share data about drug candidates while keeping sensitive information safe can unleash the potential of machine learning and cutting-edge lab techniques, for the common good.

Keywords: Drug discovery; Machine learning; Research data; Biotechnology (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-023-02896-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:621:y:2023:i:7979:d:10.1038_d41586-023-02896-9

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-023-02896-9

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().