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The purpose of D8.3 is to describe the prototype IT systems for storing, structuring as well as providing controlled access and annotation/fitering to the data pertinent for the personalised medicine (referred as the ”PM system” in subsequent text). As already defined in D8.1 and D8.2 we use personalised medicine of leukemia as the use case and in D8.3 we added personalized medicine of new-born babies with metabolic disease as second use case. The report starts with quick recapitulation of the use cases and the challenges identified. It then describes the data access control mechanisms followed by a walk-through of the PM systems: demonstrates the main views and utility of the systems as well as how these match with the stakeholder needs. The report also contains some statistics of the current usage and lays out future work. The report concludes by providing instructions for obtaining an account on the demo installations for 1st hand experience using the systems.

The purpose of deliverable 8.2 is to describe the data types pertinent for personalised medicine and the links between them. To do this, we first identified a concrete use case: acute myeloid leukemia and then identified the needs of the key stakeholders: physicians, clinical researchers, biomedical researchers, and patients. Guided by these needs we built a prototype data model for structuring, organising and annotating the patient data accordingly. The data model will form the basis for the prototype implementation of an IT solution for storing, management and querying of the personalised medicine data which will then be used to implement and demonstrate the personalised medicine informatics pipeline (deliverable 8.3). This report starts by briefly explaining the opportunities and challenges related to practising personalised medicine. We then describe a concrete case of applying personalised medicine, analyse the stakeholder needs, enumerate the types of data (both private and public) to actually gain insights into the patient data. The report concludes by specifying a prototype data model for structuring and organising the data in order to meet stakeholder needs.