AI can help to tailor drugs for Africa — but Africans should lead the way
Gemma Turon,
Mathew Njoroge,
Mwila Mulubwa,
Miquel Duran-Frigola () and
Kelly Chibale ()
Nature, 2024, vol. 628, issue 8007, 265-267
Abstract:
Computational models that require very little data could transform biomedical and drug development research in Africa, as long as infrastructure, trained staff and secure databases are available.
Keywords: Drug discovery; Genomics; Developing world; Machine learning (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/d41586-024-01001-y 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:628:y:2024:i:8007:d:10.1038_d41586-024-01001-y
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/d41586-024-01001-y
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 ().