P-medicine brings together international leaders in their fields to create an infrastructure that will facilitate this translation from current practice to personalized medicine. In achieving this objective p-medicine has formulated a coherent, integrated work-plan for the design, development, integration and validation of technologically challenging areas of today. Our emphasis is on formulating an open, modular framework of tools and services, so that p-medicine can be adopted gradually, including efficient secure sharing and handling of large personalized data sets, enabling demanding Virtual Physiological Human (VPH) multiscale simulations (in silico oncology), building standards]compliant tools and models for VPH research, drawing on the VPH Toolkit2 and providing tools for large]scale, privacy]preserving data and literature mining, a key component of VPH research. We will ensure that privacy, non- discrimination, and access policies are aligned to maximize protection of and benefit to patients. The p-medicine tools and technologies will be validated within the concrete setting of advanced clinical research. Pilot cancer trials have been selected based on clear research objectives, emphasizing the need to integrate multilevel datasets, in the domains of Wilms tumour, breast cancer and leukaemia. To sustain a self-supporting infrastructure realistic use cases will be built that will demonstrate tangible results for clinicians. The project is clinically driven and promotes the principle of open source and open standards. Computational Medicine Laboratory (CML) of FORTH-ICS is responsible for the definition of the reference architecture (RA) of the p-medicine technical infrastructure and also coordinates the implementation of the project Workbench, including key infrastructure components and some key services related to seamless data access. In addition CML has undertaken the Integration Manager responsibility.