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Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93e763bd3055417ea9c559a7b6fa24d5

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

About this item

Full title

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2021-02, Vol.12 (1), p.1033-13, Article 1033

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Clinical trials of novel therapeutics for Alzheimer’s Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication is a more rapid and less expensive option. We present DRIAD (Drug Repurposing In AD), a machine learn...

Alternative Titles

Full title

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_93e763bd3055417ea9c559a7b6fa24d5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93e763bd3055417ea9c559a7b6fa24d5

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-021-21330-0

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