Projet RAINBOW (Horizon 2020, appel à projets 2017)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : CLOSED

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.

Mots clés : software platforms, biomechanics, optimization, data driven individualized simulation

Participants :
- GMV Innovating Solutions (Spain) (Espagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 247872.96 €
- inuTech (Germany) (Allemagne) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- AnatoScope (France) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- University of Copenhagen (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 789667.34 €
- 3Shape (Denmark) (Danemark) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 290081.88 €
- 3Shape (Denmark) (Danemark) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 0.0 €
- Synopsys (northern europe) limited (Royaume-Uni) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 546575.76 €
- King Juan Carlos University (Espagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 743618.88 €
- InSimo (France) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Aalborg University (Danemark) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 290081.88 €
- Cardiff University (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 273287.88 €
- Capital Region of Denmark (Danemark) — Partner, beneficiary, Organismes publics (hors enseignement & recherche), subvention : 80578.3 €
- Anyverse sl (Espagne) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Kitware sas (France) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- University of Luxembourg (Luxembourg) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 751680.0 €