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Sanz, F, Pognan, F, Steger-Hartmann, T, Diaz, C, Asakura, S, Amberg, A, Bécourt-Lhote,, N, Blomberg,, N, Bosc, N, Briggs, K, Bringezu, F, Brulle-Wohlhueter,, C, Brunak, S, Bueters, R, Callegaro, G, Capella-Gutierrez,, S, Centeno, E, Corvi, J, Cronin, M, Drew, P et al (2023) eTRANSAFE: data science to empower translational safety assessment. Nature Reviews Drug Discovery. ISSN 1474-1776
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Publisher URL: https://doi.org/10.1038/d41573-023-00099-5
Open Access URL: https://www.nature.com/articles/d41573-023-00099-5
(Accepted version)
Abstract
Thirteen pharmaceutical companies have shared and integrated preclinical and clinical data for creating computational resources that enhance translational drug safety assessment.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 06 Biological Sciences; 11 Medical and Health Sciences; Pharmacology & Pharmacy |
| Subjects: | R Medicine > RS Pharmacy and materia medica |
| Divisions: | Pharmacy and Biomolecular Sciences |
| Publisher: | Nature Research |
| Date of acceptance: | 14 June 2023 |
| Date of first compliant Open Access: | 14 December 2023 |
| Date Deposited: | 15 Jun 2023 10:08 |
| Last Modified: | 14 Dec 2023 00:50 |
| DOI or ID number: | 10.1038/d41573-023-00099-5 |
| URI: | https://ljmu-9.eprints-hosting.org/id/eprint/19820 |
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