Fraunhofer-Gesellschaft Zur Foerderung Angewandten Forschung E.V.
The Fraunhofer-Gesellschaft zur Förderung Angewandten Forschung e.V. is Europe’s largest application-oriented research organization. The research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment.
The Fraunhofer Institute for Biomedical Engineering (IBMT) is one of the five institutes of the Alliance Life Science of the Fraunhofer-Gesellschaft. Its R+D fields include among others e-health, ICT research infrastructures and cryotechnology for storage of living samples at low temperatures.
For clinical research communities the department Telematics / Intelligent Health Systems provides customised ICT infrastructures and corresponding tools with a particular focus on integrated biobanking and clinical trial management. Examples are its ontology-based management system for multicenter clinical trials ObTiMA, which facilitates the integration of study data, or eurocryoDB, an innovative sample logistics system for biobanks.
Fraunhofer IAIS The Knowledge Discovery Team at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Sankt Augustin, Germany, is a research group located in the field of Data Mining and Machine Learning. The KD group of Fraunhofer IAIS has a long tradition on basic and applied research in the field of knowledge discovery and in particular data mining. This has been proven by numerous publications and a broad variety of industrial and publicly funded projects. In particular, the field of distributed and grid-enabled data mining is a major research focus of Fraunhofer IAIS, which for example participates in the related EU projects ACGT, DataMiningGrid, and Simdat.
Fraunhofer IBMT contribution to the project is focused on WP4 – Semantic interoperability and WP9 - Models, deployment and clinical pilots.Based on its experiences in the field of ontology based data integration, IBMT contributes within WP4 activities to define links among standardized terminologies and ontologies like SNOMED and ICD 10 in order to define a semantic core dataset for the eureca platform. In WP9 Fraunhofer IBMT leads the task which provides uniform access to the different data sources, where IBMT will focus on personal health record systems and clinical trial systems. Furthermore, IBMT will contribute in the design of the architecture for the eureca platform.
Fraunhofer IAIS’s role in the project will be to develop and implement tools for hospital-based knowledge discovery and to develop and implement machine learning approaches for the analysis of clinical data and biomedical research data, in particular, novel algorithms for the monitoring of large sets of patient data and the meta-analysis of trial data. The partner will also contribute to the design and implementation of the general distributed architecture of the project, including appropriate meta-data representations. The IAIS will also contribute to the development of the services supporting the scenarios concerning early detection of safety risk, improved recruitment, and hypotheses generation.