Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machi...
Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning
About this item
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Author / Creator
Publisher
Germany: Beilstein-Institut
Journal title
Language
English
Formats
Publication information
Publisher
Germany: Beilstein-Institut
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Scope and Contents
Contents
Manufacturers of nanomaterial-enabled products need models of endpoints that are relevant to human safety to support the “safe by design” paradigm and avoid late-stage attrition. Increasingly, embryonic zebrafish (
Danio Rerio
) are recognised as a key human safety relevant in vivo test system. Hence, machine learning models were developed fo...
Alternative Titles
Full title
Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d2b0a79f324041e6906f11f875ff353a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d2b0a79f324041e6906f11f875ff353a
Other Identifiers
ISSN
2190-4286
E-ISSN
2190-4286
DOI
10.3762/bjnano.12.97
