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Drug agencies encourage more and more the use of information technologies to improve models to predict the efficacy and safety of submitted drug candidates.
These models require various tools as well as reliable in silico, in vitro and in vivo data. The selection of qualitative experimental data is critical to the efficiency of the predictive models.
Aureus Sciences has developed a recognized expertise on building knowledge bases with industrial partners in a collaborative approach, for the organization and storage of experimental data to help the pharmaceutical industry improve predictive approaches to drug discovery and development projects.
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