Objective
International competition in the pharmaceutical industry is increasingly becoming a competition with respect to the ability to understand complex biological processes and exploit the rapidly growing amount of biological information. The methods that are currently applied in the development of new medicines suffer from the lack of effective means to evaluate, combine, and accumulate biological knowledge. Essential improvements must involve the use of computational models that can provide a dynamic and more quantitative description of the relevant biological, pathological, and pharmacokinetic processes. We propose to establish a Network of Excellence that can restructure and strengthen the area of biosimulation by focusing on the development of professional, physiologically based models that can help the pharmaceutical industry develop safe and effective drugs at significantly lower costs. The modelling approach is strongly recommended by the American Food and Drug Administration that already uses mathematical models in its evaluation of applications for drug approval. Academic institutions in Europe have significant expertise in biological modelling, and several groups are individually at the research front in their specific areas. At the present, however, the research is strongly fragmented, and the industry itself has relatively few qualified experts in the field. The Network will provide a new forum for collaboration across disciplinary boundaries as well as between industry and academia. The BioSim Network involves 26 leading academic groups, 9 small and medium-sized enterprises, 1 large pharmaceutical industry, and the Danish, Spanish, Dutch, and Swedish regulatory agencies. The Network collaborates with the European Federation for Pharmaceutical Sciences (EUFEPS).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine pharmacology and pharmacy drug discovery
- natural sciences mathematics applied mathematics mathematical model
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2003-LIFESCIHEALTH-I
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
KGS. LYNGBY
Denmark
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Participants (38)
AMSTERDAM
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OXFORD
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MARBURG
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MANCHESTER
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POTSDAM
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JUELICH
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117 LUND
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LINKOEPING
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BRUXELLES
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22085 VALENCIA
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COPENHAGEN
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COVENTRY
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SHEFFIELD
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DRESDEN
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BRATISLAVA
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BUDAPEST
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BERLIN
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PALMA DE MALLORCA
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BORDEAUX
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LEEDS
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PARIS
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HEIDELBERG
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SHEFFIELD
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LINKOPING
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VALAURIS
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STIRLING
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BERLIN
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GOETEBORG
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SZEGED
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GLOSTRUP
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BAGSVAERD
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COPENHAGEN
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MADRID
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THE HAGUE
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UPPSALA
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HEIDELBERG
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EDINBURGH
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PADOVA
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