Downloads provided by UsageCountsThe eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives
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François Pognan; Thomas Steger-Hartmann; Carlos Díaz; Niklas Blomberg; Frank Bringezu; Katharine Briggs; Giulia Callegaro; +21 Authors
François Pognan; Thomas Steger-Hartmann; Carlos Díaz; Niklas Blomberg; Frank Bringezu; Katharine Briggs; Giulia Callegaro; Salvador Capella-Gutierrez; Emilio Centeno; Javier Corvi; Philip Drew; William C. Drewe; José M. Fernández; Laura I. Furlong; Emre Guney; Jan A. Kors; Miguel Angel Mayer; Manuel Pastor; Janet Piñero; Juan Manuel Ramírez-Anguita; Francesco Ronzano; Philip Rowell; Josep Saüch-Pitarch; Alfonso Valencia; Bob van de Water; Johan van der Lei; Erik van Mulligen; Ferran Sanz;
The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives
eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the eTRANSAFE ToxHub) that support the translational safety assessment of new drugs by using legacy data provided by the pharmaceutical companies that participate in the project. The project objectives include the development of databases containing preclinical and clinical data, computational systems for translational analysis including tools for data query, analysis and visualization, as well as computational models to explain and predict drug safety events.
Netherlands, Spain, Netherlands, Italy
- Universitat Polite`cnica de Catalunya Spain
- University of Milano-Bicocca Italy
- Institució Catalana de Recerca i Estudis Avançats Spain
- MERCK HEALTHCARE KGAA Germany
- ELIXIR United Kingdom
read across, drug safety, data sharing, :Informàtica::Sistemes d'informació [Àrees temàtiques de la UPC], Drug safety;, Integrative knowledge management, Read across, Toxicology, Article, Pharmacy and materia medica, Data mining; Data sharing; Drug safety; Integrative knowledge management; Predictive modelling; Read across; Toxicology; Translational safety assessment;, Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació, Drug safety, Data mining, integrative knowledge management, translational safety assessment, Toxicology;, Translational safety assessment, R, Predictive modelling, data mining, RS1-441, Medicine, Data sharing, engineering & technology, Mineria de dades, Modeling and simulation in science, predictive modelling, Modeling and simulation in science, engineering & technology, toxicology
read across, drug safety, data sharing, :Informàtica::Sistemes d'informació [Àrees temàtiques de la UPC], Drug safety;, Integrative knowledge management, Read across, Toxicology, Article, Pharmacy and materia medica, Data mining; Data sharing; Drug safety; Integrative knowledge management; Predictive modelling; Read across; Toxicology; Translational safety assessment;, Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació, Drug safety, Data mining, integrative knowledge management, translational safety assessment, Toxicology;, Translational safety assessment, R, Predictive modelling, data mining, RS1-441, Medicine, Data sharing, engineering & technology, Mineria de dades, Modeling and simulation in science, predictive modelling, Modeling and simulation in science, engineering & technology, toxicology
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).28 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% views 32 downloads 42 - 32views42downloads
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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Downloads provided by UsageCounts 28
Top 10%
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