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Motivation: Find best Treatment for Cancer Rare Tumour = low incidence rate (<6/100.000/yr.)

Motivation: Find best Treatment for Cancer Rare Tumour = low incidence rate (<6/100.000/yr.) Lack of data  poor statistics Lack of established best practices for treatment

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Motivation: Find best Treatment for Cancer Rare Tumour = low incidence rate (<6/100.000/yr.)

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  1. Motivation: Find best Treatment for Cancer Rare Tumour = low incidence rate (<6/100.000/yr.) • Lack of data  poor statistics • Lack of established best practices for treatment Challenges: Define data set (biological/medical/physical) to be able to predict treatment outcome/give indication for HT Functionality of RTDB: develop tools for • DB search for comparison of therapies • Implementation of new prognostic factors • Implementation of prediction models for treatment outcome • Rare Tumour Database Daniel.Abler, Faustin.Roman, Vassiliki.Kanellopoulos @cern.ch 26.05.2010

  2. Context Users, Data distributed across Europe Connect centres in EU... ... and make most of available data! frommultiple disciplines with specific terminologes with differentethical and legal requirements ICT HIT (Heidelberg) • ...and requirements: MedAustron (Wiener Neustadt) resource discovery and matching secure data access • data integration CNAO (Pavia) • Syntactic and semantic interoperability ETOILE (Lyon) Daniel.Abler, Faustin.Roman, Vassiliki.Kanellopoulos @cern.ch 26.05.2010

  3. HadrontherapyInformation Sharing Platform (HISP) RTDB Connect: • Users • Data sources by • Grid core • Security • Integration • Portals • Interfaces Patient Referral Research Grid Middleware Data Integration Data Access Services Security Further Use Case Use Scenarios HISP DNA PACS Tissue HIS Data Sources Physics Daniel.Abler, Faustin.Roman, Vassiliki.Kanellopoulos @cern.ch 26.05.2010

  4. So far... • Review of medical databases • Preliminary definition of RTDB dataset • Technology review • Semantic Web technologies for data integration • Grid data access, security and Grid services • Review of data protection requirements ... in progress • Storyline for • Scientific use case: rare tumour database • Clinical use case: patient referral ... in progress • Contact to data owners • ECRIC – cancer registry ... sample dataset expected soon • Hospitals (Oxford, Cambridge, Valencia) • to learn about data flow and security requirements • Reality check • ...lots of courses!!!

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