I-Know is a knowledge discovery IT -based tool designed to aid early stroke diagnosis, stroke treatment, drug development and identification of risk factors as targets in disease prevention for the benefit of European industry and citizens.
Acute stroke is a major socioeconomic burden in EU. The disabilities following the disease develop rapidly and prompt treatment of patients is imperative. Currently a drug dissolving the blood clot (rtPA - thrombolysis) is the only established treatment, but this is only implemented at highly specialised centres. There is consequently a strong geographical inequality in the availability of this treatment - nationally and internationally within EU.
At the same time there is an intense search by pharmaceutical industry and academic biomedical research to identify drugs that will stop the tissue damage progressing after acute stroke.
The knowledge discovery tool, I-Know will:
- Provide instant, user-friendly ITbased diagnosis and therapeutic guidance, reducing the infrastructural, economic and educational barriers currently hindering advanced stroke treatment at less specialised units.
- Use advanced data mining techniques to model disease progression based on large multinational databases providing state-of-theart diagnosis of every EU citizen irrespective of knowledge barriers.
- Provide a platform for modeling beneficial or adverse effects recorded during clinical trials, allowing optimal use of preclinical data in subsequent individualized patient management.
- Be designed to integrate data across descriptive levels to devise disease models that will bring scientific progress to stroke research.
For further information, please visit:
Dept. Neuroradiology, Aarhus Sygehus, Aarhus University Hospital, (DK)
- Institut National de la Santé et de Recherche Medicale (FR)
- Université Claude Bernard (FR)
- Fundació Privada Institut d'Investigació Biomédica de Girona (SP)
- University of Cambridge (UK)
- Universitätsklinikum Hamburg-Eppendorf (DE)
- Universitätsklinikum Freiburg für die Medizinische Fakultät der Albert-Ludwigs-Universität (DE)
- Systematic Software Engineering A/S (DK)
- Dimac A/S (DK)
Timetable: from 05/06 to 04/09
Total cost: 3.876.347
EC funding: 3.092.810
Project Identifier: IST-2004-027294
Source: FP6 eHealth Portfolio of Projects