Objective
The PHELINET proposal aims at developing and applying "innovative and non-invasive lung magnetic resonance imaging (MRI) techniques for clinical diagnosis and validation of lung therapy". This RTN program addresses the increasing demand on active co-operation and transfer of knowledge, between academic, clinical and industrial centres. This interdisciplinary proposal gathers MR physicists, engineers, radiologists, clinicians, and human and animal lung physiologists.
This collaborative team was brought in the first instance through a highly successful EC 5th framework project (http://www.phil.ens.fr). In this RTNprogram the active involvement of major European industrial groups has been encouraged with new partners recruited from the fields of pharmaceuticals, MR contrast agents and MR hardware. The research program is focused on the finalization of efficient and robust tools through scientific methodological investigation, as well as the realization of the strong potential of this technology for a variety of selected medical applications (COPD, lung cancer, cystic fibrosis, asthma, air pollutant impact).
The bio-medical research will focus on end-point observation of drug therapy trials and help in drug development on selected animal models (chronic obstructive pulmonary disease s, asthma, tobacco effects, pulmonary embolism). This RTN program will provide the much needed means for increased mobility of all involved researchers between university laboratories, hospitals, and industrial development centres. This action is also particularly suited to support the planned coordinated and structured training by top-ranking specialists from a large spectrum of fields (basic sciences, medicine, and technology). The training program is primarily designed for the young European researchers entering the field through this network, with some activities also open to all potential end-users in Europe.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesclinical medicinepneumologyasthma
- medical and health sciencesclinical medicineoncologylung cancer
- medical and health sciencesclinical medicinesurgerysurgical procedures
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
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Keywords
Call for proposal
FP6-2005-MOBILITY-1
See other projects for this call
Funding Scheme
RTN - Marie Curie actions-Research Training NetworksCoordinator
PO Box 761 VILLEURBANNE
France