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Raster plots machine learning to predict the seizure liability of drugs and to identify drugs

Raster plots machine learning to predict the seizure liability of drugs and to identify drugs

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b58e9a85f46e4b3caaa29acc28e1f91e

Raster plots machine learning to predict the seizure liability of drugs and to identify drugs

About this item

Full title

Raster plots machine learning to predict the seizure liability of drugs and to identify drugs

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-02, Vol.12 (1), p.2281-2281, Article 2281

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

In vitro microelectrode array (MEA) assessment using human induced pluripotent stem cell (iPSC)-derived neurons holds promise as a method of seizure and toxicity evaluation. However, there are still issues surrounding the analysis methods used to predict seizure and toxicity liability as well as drug mechanisms of action. In the present study, we d...

Alternative Titles

Full title

Raster plots machine learning to predict the seizure liability of drugs and to identify drugs

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b58e9a85f46e4b3caaa29acc28e1f91e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b58e9a85f46e4b3caaa29acc28e1f91e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-05697-8

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