Innovating Works

RAINBOW

Financiado
Rapid Biomechanics Simulation for Personalized Clinical Design
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 medicin... 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. ver más
31/03/2022
UCPH
4M€
Duración del proyecto: 55 meses Fecha Inicio: 2017-08-18
Fecha Fin: 2022-03-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2022-03-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
MSCA-ITN-2017: Innovative Training Networks
Cerrada hace 7 años
Presupuesto El presupuesto total del proyecto asciende a 4M€
Líder del proyecto
KOBENHAVNS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5