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In silico clinical trials are a promising method to increase efficacy and safety of trans-catheter aortic valve implantation (TAVI) devices. Synthetic aortic stenosis (AS) valve geometries for in silico trials can be created by using a Statistical Shape Model (SSM). SSM methods used in previous studies, have two disadvantages: (1) They require consistent inter-patient topology; (2) These methods do not consider the relation between shape features and outputs of interest. By considering output related features, the geometries may be described with fewer parameters. Therefore, the aim of this study was to set up a non-parametric SSM for AS valve geometries and take into account the output of interest: the pressure drop across the aortic valve (Δp).
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\r\n", "page": "SIMCor is a 3-year (2021-2023) Research and Innovation Action funded under the topic SC1-DTH-06-2020 (Accelerating the uptake of computer simulations for testing medicines and medical devices) of the Horizon 2020 Framework Programme. The project is developing an open, reusable, cloud-based platform for in-silico development, validation and regulatory approval of cardiovascular implantable devices. The platform will support device verification and validation along the whole research and development pipeline: from initial modelling and in-vitro experiments to animal studies, device implantation and effect simulation on human cohorts.
\r\n\r\nThe growing standards for clinical safety and performance of medical devices and the complexity and speed of technological innovation, with increasingly short product cycles, create a huge demand for innovative, computer-based solutions, standards and guidelines for a statistically robust, repeatable and efficient validation of biomedical devices, to become closer to the market and the clinics. SIMCor will address this challenge by providing manufacturers of cardiovascular implantable devices with an open, reusable, cloud-based platform for in-silico testing to accelerate development, validation and regulatory approval of their products. The platform will support device verification and validation along the whole research and development pipeline: from initial modelling and in-vitro experiments, to animal studies, device implantation and effect simulation on human cohorts. In particular, SIMCor’s innovative virtual cohort technology will allow to generate and expose new or existing devices to a range of clinically-realistic and diversified anatomies and (patho)physiological conditions, also including extensive paediatric populations, meeting the critical need of testing devices in young patients. A standardized multi-level validation process and sensitivity analysis will guarantee statistical credibility for in-silico tests and the platform as a whole, proving solid experimental ground for regulatory authorities, thus accelerating approval and time to market for new products, reducing the burden of human and animal studies and boosting innovation at large. High-priority safety, efficacy and usability endpoints will be investigated, focusing on device implantation and effect simulations in two representative areas: transcatheter aortic valve implantation (TAVI) and pulmonary artery pressure sensors (PAPS). Based on proof-of-validation results and regulatory approval for these use cases, SIMCor will define standard operational procedures (SOPs) and a generalised technical framework for the in-silico testing, validation and regulatory approval of cardiovascular devices, to be put at the service of researchers, medical device manufacturers and regulatory bodies. SIMCor is a 3-year (1 January 2021 - 31 December 2023), 7.2 M€ Research and Innovation Action (RIA) funded under the topic SC1-DTH-06-2020 (Accelerating the uptake of computer simulations for testing medicines and medical devices) of the call H2020-SC1-DTH-2018-2020 (Digital transformation in Health and Care), in the Health, Demographic Change and Wellbeing area of the Horizon 2020 Framework Programme.
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", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom and earlier Framework Programmes.", "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
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\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101122956(HORIZON-ZEN). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
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