eTRANSAFE: data science to empower translational safety assessment Ferran Sanz , François Pognan , Thomas Steger-Hartmann , Carlos Díaz , Shoji Asakura , Alexander Amberg , Nathalie Bécourt-Lhote , Niklas Blomberg , Nicolas Bosc , Katharine Briggs , Frank Bringezu , Claire Brulle-Wohlhueter , Søren Brunak , Ruud Bueters , Giulia Callegaro , Salvador Capella-Gutierrez , Emilio Centeno , Javier Corvi , Mark T. D. Cronin , Philip Drew , Guillemette Duchateau-Nguyen , Gerhard F. Ecker , Sylvia Escher , Eloy Felix , Miguel Ferreiro , Markus Frericks , Laura I. Furlong , Robert Geiger , Catherine George , Melanie Grandits , Dragomir Ivanov-Draganov , Jean Kilgour-Christie , Tevfik Kiziloren , Jan A. Kors , Naoki Koyama , Annika Kreuchwig , Andrew R. Leach , Miguel-Angel Mayer , Peter Monecke , Wolfgang Muster , Chihiro Miyamoto Nakazawa , Gavin Nicholson , Rowan Parry , Manuel Pastor , Janet Piñero , Nils Oberhauser , Juan Manuel Ramírez-Anguita , Adrián Rodrigo , Aljosa Smajic , Markus Schaefer , Sebastian Schieferdecker , Inari Soininen , Emma Terricabras , Panuwat Trairatphisan , Sean C. Turner , Alfonso Valencia , Bob van de Water , Johan L. van der Lei , Erik M. van Mulligen , Esther Vock , David Wilkinson Nature Reviews Drug Discovery（2023）
摘要
Thirteen pharmaceutical companies have shared and integrated preclinical and clinical data for creating computational resources that enhance translational drug safety assessment.
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translational safety assessment, safety assessment, data science
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