Objective
Pure accelerated radioisotope beams have been used for 50 years in fundamental physics R&D, e.g. for nuclear structure studies (pear shaped exotic nuclei, Nature 2013); CERN-ISOLDE plays a central role in developing accelerator technologies and fostering collaborative approaches to advance this field of isotope mass separation online. Our most recent contribution was the use of nanomaterial targets for more intense and reliable beam production, and laser ion sources for their purification (discovery of yet unknown 233Francium).
Radioisotopes are widely used for functional imaging in medicine, based on 99mTechnetium or on 18Fluorine. This field is expected to rapidly expand, when coupling imaging with new cancer treatments, with isotopes emitting different type of radioactivity, e.g. alpha particles. This is shown with the recently introduced 223Radium chloride (Xofigo®) used as a treatment drug in advanced bone cancers. However, either shortage in the supply of 99mTechnetium or lack of access to new radioisotope with adequate properties is a severe treat to develop personalized treatment that combine functional imaging and therapy.
Ovarian cancers have poor prognosis, are the second most frequent cancer for women and one of the deadliest. They are difficult to treat, because of possible presence of metastasis, and because this region is difficult to irradiate without collateral damages.
MEDICIS-PROMED will train a new generation of scientists to develop systems for personalized Medicine combining functional imaging and treatments based on radioactive ion beam mass-separation. This will be done across a coherent intersectorial multidisciplinary network with world-leading scientists in their field.
Subsystems for the development of new radiopharmaceuticals, of isotope mass separators at medical cyclotrons, and of mass separated 11Carbon for PET-aided hadron therapy will be specifically developed to treat the ovarian cancer.
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.
- natural sciencesphysical sciencestheoretical physicsparticle physicsparticle accelerator
- medical and health sciencesclinical medicineradiologynuclear medicine
- medical and health sciencesclinical medicineoncology
- medical and health scienceshealth sciencespersonalized medicine
- natural sciencesphysical sciencesopticslaser physics
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Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
1211 Meyrin
Switzerland
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Participants (7)
M13 9PL Manchester
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55122 Mainz
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01630 Saint Genis Pouilly
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1049 001 Lisboa
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27100 PAVIA PV
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3000 Leuven
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44472 CARQUEFOU
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (7)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1011 Lausanne
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1205 Geneve 14
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1015 Lausanne
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
2700 Wiener Neustadt
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
44817 Saint Herblain
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
38000 Grenoble
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Oxford
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