Objective
Model based-drug development (MBDD) is accepted as a vital approach in understanding patient risk/benefit and attrition. At the core of MBDD lies Modelling and Simulation (M&S), a technology providing the basis for informed, quantitative decision-making.
M&S facilitates the continuous integration of available information related to a drug or disease into constantly-evolving mathematical models capable of describing and predicting the behaviour of studied systems to address the questions researchers, regulators, and public health care bodies face when bringing drugs to patients.
The full adoption of MBDD is frustrated by a lack of common tools, languages and ontologies for M&S, which often leads to inefficient reuse of data and duplication of effort by academic, industrial and regulatory stakeholders.
The Drug Disease Model Resources (DDMoRe) consortium’s strategy will have standards as its core: a newly developed common definition language for data, models and workflows, along with an ontology based standard for storage and transfer of models and associated metadata.
A drug and disease model library will be developed as a public resource. Its flexibility and power will be showcased by the addition of “proof of concept” drug and disease models from key therapeutic areas such as diabetes and oncology.
An open-source interoperability framework will be the backbone for the integration of M&S applications into seamless, standardized but flexible workflows. Initially, currently-used tools (e.g. NONMEM, WinBUGS, Matlab, R) will be integrated into the framework. From the outset resources will also be dedicated to new application development which will be steered by identified gaps in the M&S software ecosystem.
The DDMoRe project’s standards and tools – intended as the gold standard for future collaborative drug and disease M&S - will be supported by comprehensive training and will be made publicly accessible.
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.
- natural sciences computer and information sciences knowledge engineering ontology
- natural sciences computer and information sciences software
- medical and health sciences health sciences public health
- natural sciences biological sciences ecology ecosystems
- natural sciences mathematics applied mathematics mathematical model
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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.
IMI-JU-02-2009
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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.
JTI-CP-IMI - Joint Technology Initiatives - Collaborative Project (IMI)
Coordinator
CT13 9NJ Sandwich
United Kingdom
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Participants (27)
751 05 Uppsala
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69117 Heidelberg
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SG1 2EF Stevenage
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2311 EZ Leiden
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27100 Pavia
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78153 Le Chesnay Cedex
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EC2Y 5EB London
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OX14 4RZ ABINGDON OXFORDSHIRE
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00185 Roma
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Participation ended
6108 Halle
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F-75205 / 13 Paris
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31080 PAMPLONA
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6299920 Tel Aviv
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4056 Basel
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151 85 Sodertaelje
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WC1A 1DG LONDON
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RG21 4FA Basingstoke
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64293 Darmstadt
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2880 Bagsvaerd
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4070 Basel
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91190 GIF-SUR-YVETTE
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1070 Bruxelles / Brussel
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Participation ended
1000 Bruxelles
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14195 Berlin
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92160 Antony
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WC1E 6BT LONDON
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8152 Glattpark
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