Objective
Clinical experts make design decisions on treatments, interventions, or on devices. ICT empowers them with patient-specific simulation models that enable better-informed design decisions. But patient-specific computational medicine is currently cumbersome, slow, and unintuitive; it relies on complex processing by technical experts, and it is hence far from reaching its full potential on clinical design, and scarcely used.
RAINBOW envisions next-generation biomechanics simulation and optimization tools for personalized clinical design that are rapidly setup for a particular patient, have a fast learning curve, are easy-to-use by clinical experts, and do not require intervention by a technical team. Research objectives entail automated processing of patient data; automated setup of representations and parameters, capability to manage variance across patients; robust and accurate simulation as a latent part of design tools; and fast optimization methods that allow intuitive exploration of the design space. Novel computational methods will be created to reach the objective of rapid biomechanics simulation. RAINBOW will apply research solutions for diagnosis, prognosis, monitoring, surgical training, planning, guidance, design of prosthetics, implants, and medical devices, and will address health conditions such as osteoarthritis, scoliosis, hearing impairment, cardiovascular diseases, obesity etc.
RAINBOW has 5 excellent academic participants: UCPH (medical imagine, machine learning), URJC (data-driven modeling), UL (computational mechanics), CARDIFF (model reduction), AAU and one hospital HH (bone modeling) and 8 industries 3Shape (prosthesis), Kitware (imaging), Insimo (surgical simulation), GMV (eHealth), Simpleware (CAD/CAE), inuTech (numerics), Anatascope (Patient specific modeling) and Next-Limit (CFD). This combined expertise will ensure diverse impact and training of highly qualified individuals.
Fields of science
- medical and health scienceshealth scienceshealth care serviceseHealth
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- natural sciencesbiological sciencesbiophysics
- medical and health sciencesmedical biotechnologyimplants
- medical and health scienceshealth sciencesnutritionobesity
Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
1165 Kobenhavn
Denmark
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Participants (9)
4365 Esch-sur-alzette
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28933 Mostoles
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CF24 0DE Cardiff
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Participation ended
3400 Hillerod
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Participation ended
1060 Kobenhavn
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28760 Tres Cantos Madrid
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RG2 6UJ Reading Berkshire
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9220 Aalborg
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1060 Kobenhavn
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Partners (5)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
28002 Madrid
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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.
69100 Villeurbanne
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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.
67091 Strasbourg
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
34960 Montpellier
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
90429 Nuremberg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.