Kondylakis Haridimos, Claerhout Brecht, Keyur Mehta, Koumakis Lefteris, van Leeuwen Jasper, Marias Kostas, Perez-Rey David, De Schepper Kristof, Tsiknakis Manolis, Bucur Anca
Computational BioMedicine Laboratory, FORTH-ICS, N. Plastira 100, Heraklion, Greece.
Custodix NV, Kortrijksesteenweg 214b3, Sint-Martens-Latem, Belgium.
J Biomed Inform. 2016 Aug;62:32-47. doi: 10.1016/j.jbi.2016.05.006. Epub 2016 May 17.
The objective of the INTEGRATE project (http://www.fp7-integrate.eu/) that has recently concluded successfully was the development of innovative biomedical applications focused on streamlining the execution of clinical research, on enabling multidisciplinary collaboration, on management and large-scale sharing of multi-level heterogeneous datasets, and on the development of new methodologies and of predictive multi-scale models in cancer. In this paper, we present the way the INTEGRATE consortium has approached important challenges such as the integration of multi-scale biomedical data in the context of post-genomic clinical trials, the development of predictive models and the implementation of tools to facilitate the efficient execution of postgenomic multi-centric clinical trials in breast cancer. Furthermore, we provide a number of key "lessons learned" during the process and give directions for further future research and development.