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, Duchateau-Nguyen, G, Ecker, GF, Escher, S, Felix, E, Ferreiro, M, Frericks, M, Furlong, LI, Geiger, R, George, C, Grandits, M, Ivanov-Draganov, D, Kilgour-Christie, J, Kiziloren, T, Kors, JA, Koyama, N, Kreuchwig, A, Leach, AR, Mayer, MA, Monecke, P, Muster, W, Nakazawa, CM, Nicholson, G, Parry, R, Pastor, M, Piñero, J, Oberhauser, N, Ramírez-Anguita, JM, Rodrigo, A, Smajic, A, Schaefer, M, Schieferdecker, S, Soininen, I, Terricabras, E, Trairatphisan, P, Turner, SC, Valencia, A, van de Water, B, van der Lei, JL, van Mulligen, EM, Vock, E and Wilkinson, D (2023) eTRANSAFE: data science to empower translational safety assessment. Nature Reviews Drug Discovery. ISSN 1474-1776

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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 & Biomolecular Sciences
Publisher:	Nature Research
SWORD Depositor:	A Symplectic
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://researchonline.ljmu.ac.uk/id/eprint/19820

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