eTRANSAFE: data science to empower translational safety assessment
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- dc.contributor.author Sanz, Ferran
- dc.contributor.author Pognan, François
- dc.contributor.author Steger-Hartmann, Thomas
- dc.contributor.author Díaz, Carlos
- dc.contributor.author eTRANSAFE Consortium
- dc.date.accessioned 2023-12-20T15:48:54Z
- dc.date.available 2023-12-20T15:48:54Z
- dc.date.issued 2023
- dc.format.mimetype application/pdf
- dc.identifier.citation 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
- dc.identifier.doi http://dx.doi.org/10.1038/d41573-023-00099-5
- dc.identifier.issn 1474-1776
- dc.identifier.uri http://hdl.handle.net/10230/58604
- dc.language.iso eng
- dc.publisher Nature Research
- dc.relation.ispartof Nat 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.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Drug safety
- dc.subject.keyword Toxicology
- dc.subject.keyword Data sharing
- dc.subject.keyword Data integration
- dc.subject.keyword Computational platform
- dc.subject.keyword In silico predictive models
- dc.title eTRANSAFE: data science to empower translational safety assessment
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion