Brüsszeli képviseletünk egy török KKV-tól megkeresést kapott az FP7 ICT Call6 program 5-ös felhívásának “Towards sustainable and personalized healthcare”, 5.3-as “Virtual Physiological Human” témájában.

További információk:

  • Challenge 5: Towards sustainable and personalized healthcare
  • Objective: 5.3 Virtual Physiological Human (Development of ICT tools, services and specialized infrastructure for the biomedical researchers)
  • Funding Scheme: STREP
  • Closure Date: 13/04/2010

Subject:

“There are very many VPH assets such as experimental results to create and validate mathematical models, multi-scale models themselves, hypotheses, simulation studies represented as workflows to validate these hypotheses, input sets for such simulations and the result-sets for particular simulation runs, medical images, data processing and imaging tools and algorithms for data fusion and analysis which are capable of processing such models and the resulting publications. The LEVER Project aims to “semantically uplift” the VPH assets to an open, linked cloud knowledge infrastructure to facilitate their discovery, re-use and hence the collaborations among the VPH researchers.”

Project’s keywords:

Collaboration environment for VPH researchers, semantic lifting, semantic stack.

Required skills and Expertise:

  • Bio-medical experts in VPH research
  • Experts in bio-medical Grid infrastructures
  • Experts in semantic similarity computation (record linkage, duplicate detection, etc.).

Description of work to be carried out by the partner(s) sought:

  • Profile 1: Develop a real case study to test the framework, contribute to the project requirements definition.
  • Profile 2: The partner would be involved in carrying out research and development work to integrate biomedical grids to the LEVER infrastructure.
  • Profile 3: The partner would be involved in carrying out research and development work in semantic similarity computation.

Partner profile sought:

  • Clinical research organizations as end users.
  • RTD Organizations for bio-medical GRID.
  • RTD Organizations for semantic linkage.