H2020Докторантска мрежа2018–2022

RAINBOW · Rapid Biomechanics Simulation for Personalized Clinical Design

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2018-04-01 → 2022-03-31
Финансиране от ЕС
4 013 445 €
Участници
15
Схема
MSCA-ITN

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Биомеханичните симулации за персонализирано лечение автоматизират създаването на дигитални модели на пациенти, например при сколиоза или сърдечни заболявания. Това помага на лекарите да вземат по-информирани решения за интервенции и устройства, без да зависят от технически експерти.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

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 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 have been created to reach the objective of rapid biomechanics simulation. RAINBOW applies research solutions for diagnosis, prognosis, monitoring, surgical training, planning, guidance and design, and addresses health conditions such as osteoarthritis, scoliosis, hearing impairment, cardiovascular diseases, obesity etc. RAINBOW has 7 academic participants: UCPH (medical imagine, machine learning), URJC (data-driven modeling), UL (computational mechanics), CARDIFF (model reduction), AAU, AU and Mines ParisTech, one hospital HH (bone modeling) and 7 industries: 3Shape (prosthesis), Kitware (imaging), Insimo (surgical simulation), GMV (eHealth), Synopsys (CAD/CAE), inuTech (numerics), and Anatascope (Patient specific modeling). This combined expertise ensures diverse impact and training of highly qualified individuals

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз