Objective
Cancer is a major social problem, and it is the main cause of death between the ages 45-65 years. In the treatment of cancer, radio therapy (RT) plays an essential role. RT with hadrons (protons and light ions), due to their unique physical and radiobiological properties, offers several advantages over photons for specific cancer types. In particular, they penetrate the patient with minimal diffusion, they deposit maximum energy at the end of their range, and they can be shaped as narrow focused and scanned pencil beams of variable penetration depth. Although significant progress has been made in the use of particle beams for cancer treatment, an extensive research and development program is still needed to maximize the healthcare benefits from these therapies.
The Optimization of Medical Accelerators (OMA) is the aim of the here-proposed European Training Network, in line with the requirements of the EC’s Medical Exposure Directive. OMA joins universities, research centers and clinical facilities with industry partners to address the challenges in treatment facility design and optimization, numerical simulations for the development of advanced treatment schemes, and in beam imaging and treatment monitoring.
The proposed R&D program ranges from life sciences (oncology, cell and micro biology and medical imaging.), physics and accelerator sciences, mathematics and IT, to engineering. It is hence ideally suited for an innovative training of early stage researchers. By closely linking all above research areas, OMA will provide an interdisciplinary education to its Fellows. This will equip them with solid knowledge also in research areas adjacent to their core research field, as well as with business competences and hence give them a perfect basis for a career in research.
Fields of science
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
- natural sciencescomputer and information sciencesdata sciencebig data
- medical and health sciencesclinical medicineoncology
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
- natural sciencesmathematicsapplied mathematicsmathematical model
Keywords
Programme(s)
Coordinator
L69 7ZX Liverpool
United Kingdom
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Participants (13)
1098 XG Amsterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1211 Meyrin
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27100 PAVIA PV
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28006 Madrid
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64291 Darmstadt
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1348 Ottignies Louvain La Neuve
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80539 MUNCHEN
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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.
5232 Villigen Psi
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WC1E 6BT London
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M13 9PL Manchester
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41004 Sevilla
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09128 Chemnitz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (10)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Birkenhead
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Manchester
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1000 Ljubljana
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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.
Glasgow
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Cambridge
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
00044 Frascati
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
WA3 7QX Warrington
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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.
SN2 1FL Swindon
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Newport
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
LA1 4YW Lancaster
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