eTRANSAFE: data science to empower translational safety assessment

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dc.contributor.authorSanz, Ferran
dc.contributor.authorPognan, François
dc.contributor.authorSteger-Hartmann, Thomas
dc.contributor.authorDíaz, Carlos
dc.contributor.authoreTRANSAFE Consortium
dc.date.accessioned2023-12-20T15:48:54Z
dc.date.available2023-12-20T15:48:54Z
dc.date.issued2023
dc.format.mimetypeapplication/pdf
dc.identifier.citationSanz F, Pognan F, Steger-Hartmann T, Díaz C; eTRANSAFE Consortium. eTRANSAFE: data science to empower translational safety assessment. Nat Rev Drug Discov. 2023 Aug;22(8):605-6. DOI: 10.1038/d41573-023-00099-5
dc.identifier.doihttp://dx.doi.org/10.1038/d41573-023-00099-5
dc.identifier.issn1474-1776
dc.identifier.urihttp://hdl.handle.net/10230/58604
dc.language.isoeng
dc.publisherNature Research
dc.relation.ispartofNat Rev Drug Discov. 2023 Aug;22(8):605-6
dc.rights© Springer Nature Publishing AG Sanz F, Pognan F, Steger-Hartmann T, Díaz C; eTRANSAFE Consortium. eTRANSAFE: data science to empower translational safety assessment. Nat Rev Drug Discov. 2023 Aug;22(8):605-6. DOI: 10.1038/d41573-023-00099-5 [http://dx.doi.org/10.1038/d41573-023-00099-5]
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordDrug safety
dc.subject.keywordToxicology
dc.subject.keywordData sharing
dc.subject.keywordData integration
dc.subject.keywordComputational platform
dc.subject.keywordIn silico predictive models
dc.titleeTRANSAFE: data science to empower translational safety assessment
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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