CORDIS
EU research results

CORDIS
English EN
Rapid Biomechanics Simulation for Personalized Clinical Design

Rapid Biomechanics Simulation for Personalized Clinical Design

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.

Programme(s)

H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers

Topic(s)

MSCA-ITN-2017 - Innovative Training Networks

Call for proposal

H2020-MSCA-ITN-2017

See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

KOBENHAVNS UNIVERSITET

Address

Norregade 10
1165 Kobenhavn

Denmark

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 580 163,76

Website

Contact the organisation

Participants (8)

Sort alphabetically

Sort by EU Contribution

Expand all

UNIVERSITE DU LUXEMBOURG

Luxembourg

EU Contribution

€ 751 680

UNIVERSIDAD REY JUAN CARLOS

Spain

EU Contribution

€ 743 618,88

CARDIFF UNIVERSITY

United Kingdom

EU Contribution

€ 273 287,88

REGION HOVEDSTADEN

Denmark

EU Contribution

€ 290 081,88

3SHAPE TRIOS AS

Denmark

EU Contribution

€ 290 081,88

GMV SOLUCIONES GLOBALES INTERNET SAU

Spain

EU Contribution

€ 247 872,96

SYNOPSYS (NORTHERN EUROPE) LIMITED

United Kingdom

EU Contribution

€ 546 575,76

AALBORG UNIVERSITET

Denmark

EU Contribution

€ 290 081,88

Partners (5)

Sort alphabetically

Expand all

NEXT LIMIT SL

KITWARE SAS

INSIMO SAS

Anatascope

inuTech GmbH

Project information

Grant agreement ID: 764644

Status

Ongoing project

  • Start date

    1 April 2018

  • End date

    31 March 2022

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 4 013 444,88

  • EU contribution

    € 4 013 444,88

Coordinated by:

KOBENHAVNS UNIVERSITET

Denmark

Download

PDF XML

Last update: 22 August 2017

Record number: 211738