Project Aims

Decision support for clinical translation

Using machine learning and artificial intelligence techniques, we extract information on research experiments described in published papers. These data are stored in a core database and accessible for query and meta analysis.


Knowledge transfer in medical research and the role of PSINK 

We aim to enhance the quality and increase the speed of evidence-based decision making in clinical translation. The objective data-driven analysis of the reserach history of a therapy will lead to better trial designs. Thus, time wasting through unneccessary experiments will decrease and the advance of medical therapies will be faster, This will serve the benefit of the patient.