Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
High-fidelity Cardiovascular Modeling from Super-Fast Magnetic Resonance Imaging (CardioZoom)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-04-01
End date: 2025-09-30
Duration (months): 66.0
Total project cost (EUR): 1498514.0
EU funding (EUR): 1498514.0
Participants: 1
Project status: SIGNED

Biophysical computational models of the cardiovascular system need to be adapted to each particular patient from clinical data. The state-of-the-art imaging method for assessing cardiovascular diseases is Magnetic Resonance Imaging (MRI), which is hence the preferred source of data for the personalization of the models. However, MRI is still not able to reliably image the kinematics of thin structures like cardiac valves and the arterial wall. Moreover, MRI measurements of the 3D kinematics of the heart is a challenging task. These restrictions hamper the clinical translation of patient-specific modeling. Therefore, a new paradigm for model personalization is urgently needed. The ambition of CardioZoom is to propose novel methods for biophysical parameter estimation in computational models of the heart, large vessels and valves using MRI data acquired in very short scan times. The approach will be based on the deep integration imaging and biophysical principles, relaxing the constraints of standard cardiovascular imaging implying long MRI scans. Extensive validations using experimental (phantom) data will be performed and tests on volunteer and patients data are planned. The findings of CardioZoom will allow obtaining clinically feasible, detailed characterizations of the cardiovascular system.

Keywords: cardiovascular computional modeling,inverse problems,medical imaging
Freedom of Teaching and Political Control: The Case of Thomas Aquinas’ Assimilation in William of Peter Godin’s Lectura Thomasina (14th C.) (TEACHPOL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-15
End date: 2017-05-14
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

The project intends to explore the speculative, historical, and political functions assumed by William of Peter Godin’s Lectura thomasina in the assimilation and teaching of Thomas Aquinas’ doctrines after the series of condemnations, censures, and corrections promulgated by some political authorities between the end of the 13th and the beginning of the 14th century. The text, still unpublished and preserved in fifteen manuscripts, does not represent a mere collection of Thomas’ dicta, but rather a sort of authorized handbook for students, which frequently replaced the direct lecture of Aquinas’ texts. In line with the educational policies, but true to Thomas’ intentions, the Lectura thomasina is an outstanding multidisciplinary document: it harmonizes speculative contents from Thomas Aquinas’ texts with political pressures and religious convinctions. Through a comprehensive analysis of the work, a transcription of some selected passages, in which William’s reworking of censured Thomistic doctrines emerges, and, for the first time, the critical edition of a significant section of the text (Book II – distinctions I-XXII), the research will focus on the Lectura thomasina as a case study that typifies the process of assimilation and transmission of groundbreaking ideas in a specific intellectual context, when it is subjected to political or religious restrictions. Then, the text will be a gateway to access a wider investigation on the contrasts between freedom of teaching and educational policy, recurring in many other cases in European intellectual history, and it will convert a specialists’ discussion on a medieval problem into a far-reaching intellectual challenge.

Keywords: teaching,learning,transmission of knowledge,freedom,political pressures,religious convictions,censures,condemnations,thomas aquinas,william of peter godin
Deep Learning UAV Networks for Autonomous Forest Firefighting (DUF)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Türkiye
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 145845.6
EU funding (EUR): 145845.6
Participants: 1
Project status: CLOSED

Thousands of hectares of forest lands are lost to wildfires every year. Utilization of Unmanned Aerial Vehicles (UAVs) is an efficient tool for fighting fires, however the state-of-the-art techniques lack in ability to predict fire spread direction and coordinate multiple UAVs to suppress the fire under limited communication. DUF project aims to apply powerful tools from artificial intelligence domain to UAV firefighting problem, creating an innovative solution for autonomous firefighting, which will reduce the amount of lands lost to fires. DUF will use the deep learning techniques for estimating the fire spread direction from infrared camera streams obtained from UAVs. Deep learning is a mature technology for classical image recognition, but the use of deep learning to learn predictive models for fire spread is a novel approach. After the model is learned, a decentralized approximate dynamic planning algorithm will be utilized to coordinate UAV actions for suppressing the fire. The algorithm development, simulations and first phase of the flight experiments will be conducted at Istanbul Technical University (ITU) Aerospace Research Center (ARC). The project will conclude with flight tests conducted on natural forest fires, with operational support from Forest of Ministry of Turkey. Prof. Ure earned his Ph.D. degree from Massachusetts Institute of Technology, working on advanced UAV projects and collaborating with leading researchers in the world. He has extensive experience on autonomous systems and published more than 30 critically acclaimed journal and conference papers in this subject. Prof. Ure is currently working as assistant professor in ITU and through this innovative multidisciplinary research and with the help of experimental infrastructure provided by the ITU, Prof. Ure is expected to gain maturity in managing research projects and advance his career toward being an esteemed professor in the field of aeronautics and artificial intelligence in Europe.

Keywords: multi uav systems,forest firefightging
A combined developmental cell biology and tissue engineering approach to repair the articular surface of synovial joints (ReSurface)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Ireland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-08-01
End date: 2022-11-30
Duration (months): 36.0
Total project cost (EUR): 248063.4
EU funding (EUR): 248063.4
Participants: 2
Project status: CLOSED

Repair of articular cartilage defects remains a significant clinical challenge due to gaps in our knowledge of articular cartilage development and maintenance in adulthood. This creates a lack of consensus on the ideal cell source for cell-based repair strategies and suitable methods of delivery. The overall goal of ReSurface is to develop a cell therapy platform for articular cartilage defect repair. This will be achieved by unravelling the molecular mechanisms controlling articular cartilage cell development and maintenance, generation of a panel of molecular parameters defining populations of cells that are safe and suitable for articular cartilage repair, and development of a minimally invasive method to deliver cells to the defect site. This project is highly multidisciplinary and intersectoral combining fundamental developmental and molecular cell biology with advanced engineering techniques and including significant industry and clinical collaboration throughout. This fellowship will have an outgoing phase at Dr April Craft’s Lab at Boston Children’s Hospital (BCH), affiliated with Harvard Medical School (HMS) and the Harvard Stem Cell Institute (HSCI), and a return phase to Prof Garry Duffy’s Lab at the National University of Ireland, Galway (NUIG) which is part of the Science Foundation Ireland funded Centre for Research in Medical Devices (CÚRAM). Clinical collaborators will include BCH, Brigham and Women’s Hospital, Boston, University College Hospital Galway (UCHG) and the Regenerative Medicine Institute (REMEDI) at NUIG while industry collaborators include Boston Scientific Limited (BSL). Having recently completed my PhD in biomaterials development, this project will diversify my professional competencies through advanced training with intersectoral and international collaborations and provide me with the scientific and transferable skills required for my transition to an independent scientist role.

Keywords: cartilage,orthoapedics
Platform for rapid deployment of self-configuring and optimized predictive maintenance services (PROPHESY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Spain,Germany,Germany,Germany,Germany,Greece,Belgium,Greece,Belgium,Netherlands,United Kingdom,Luxembourg,Portugal,Portugal
Call: Novel design and predictive maintenance technologies for increased operating life of production systems (H2020-FOF-2017, 2017)
Start date: 2017-10-01
End date: 2020-09-30
Duration (months): 36.0
Total project cost (EUR): 7100131.79
EU funding (EUR): 5528318.51
Participants: 15
Project status: CLOSED

The advent of Industrie4.0 provides opportunities for adopting predictive maintenance (PdM), which represents the ultimate maintenance vision for manufacturers and machine vendors. Nevertheless, there are still barriers to successful deployment including the issues of data fragmentation, limited data interoperability, poor deployment of advanced analytics and lack of effective integration with other systems at the enterprise and field levels. PROPHESY will deliver and validate (in two complex demonstrators) in real plants a PdM services platform, which will alleviate these issues based on the following innovations: • A CPS platform optimized for PdM activities (PROPHESY-CPS), which will enable maintenance driven real-time control, large scale distributed data collection and processing, as well as improved production processes driven by maintenance predictions and FMECA activities. • Novel Machine Learning and Statistical Data processing techniques for PdM (PROPHESY-ML), which will be able to identify invisible patterns associated with machine degradation and assets depreciation, while at the same time using them to optimize FMECA activities. • Visualization, knowledge sharing and augmented reality (AR) services (PROPHESY-AR), which will enable remotely supported maintenance that can optimize maintenance time and costs, while increasing the safety of maintenance tasks. • A PdM service optimization engine (PROPHESY-SOE), which will enable composition of optimal PdM solutions based on the capabilities provided by PROPHESY-CPS, PROPHESY-ML and PROPHESY-AR. Service optimization aspects will consider the whole range of factors that impact PdM effectiveness (e.g., OEE, EOL, MTBF and more). PROPHESY will establish and expand an ecosystem of PdM stakeholders around the PROPHESY-SOE, which will serve as a basis for the wider update of the project’s results, as it will offer to the CPS manufacturing community access to innovative, turn-key solutions for PdM operations.

Keywords: cps manufacturing,industrie 4 0,predictive maintenance,augmented reality,automatic data collection,visualization,knowledge sharing,prophesy cps,prophesy ar,prophesy soe
The First Cell Culture Platform that Enables Affordable Cell Therapies at a Large Scale (Facer)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-04-01
End date: 2020-12-31
Duration (months): 21.0
Total project cost (EUR): 2051000.0
EU funding (EUR): 1435700.0
Participants: 1
Project status: CLOSED

Cell therapy has shown promising results for treating and curing a large range of diseases, from cancer to diabetes. The principles of cell therapy are easy to describe: cells (possibly modified) are injected into patients. Cell therapy is now a reality in Europe: in August 2018 the first two treatments for patients with blood cancer were approved; more of them are about to successfully conclude the approval path. What hinders the large-scale uptake of cell therapy is its costs: culturing enough cells of high quality requires specialised personnel and infrastructure, which only a few centres can afford. The market asks for a scalable cell culture platform that can produce large quantities of high quality cells at much lower costs than done nowadays. To address this need, we have developed the Facer – the first fully-autonomous cell culture platform. The Facer can manufacture billions of high-quality cells starting from the small quantity (about 500,000 cells) of a tissue biopsy without the need of human intervention, thanks to a unique patented iterative process. Our product is at TRL 7; its performances, in terms of quality and costs, are superior to any competitor commercially available. We have developed the Facer over the course of 5 years thanks to cash investments of over €3 million. In the Phase 2 project we will finalise the product, perform a validation with external partners, prepare the product for CE marking (our product is not a medical device), and find a distributor and a launching customer. We will initially tackle the European market to then expand globally once that the local regulatory barriers are overcome. In 2024, after 5 years from the first sale, our turnover will surpass the €60 million and our EBITDA will be over €36 million. Our innovation can enable affordable cell therapies at a large scale and change the life of millions of patients who suffer from diseases that have been deemed 'incurable' so far.

Keywords: cell based therapies,t cells,regenerative medicine,cell manufacturing,cell therapy
T-cell-induced immune programming and degeneration of the neuronal tissue during chronic autoimmunity (T-Neuron)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Germany
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 2374863.0
EU funding (EUR): 2374863.0
Participants: 1
Project status: SIGNED

The TOPIC of this proposal is how a T-cell-driven autoimmune process can transform the brain into a chronically inflamed tissue afflicted by progressive neurodegeneration. The brain is considered to be an immune-privileged organ because immune cells have restricted access to its tissue and its resident cells can only exert limited immune functions. However, in the course of multiple sclerosis, a T-cell-induced chronic autoimmune disease of the brain, such aspects change dramatically and the brain tissue is transformed into an immunoactive milieu. These changes go hand in hand with a gradual degeneration of the neuronal tissue. What steers this transformative process in the brain is not yet understood. We have developed new experimental models and tools that enable us to follow and functionally test this transition from healthy into degenerating brain tissue in real time. We found that autoaggressive T cells within autoimmune lesions were frequently in direct contact with neurons or were partially or even completely inside the cytoplasm of neurons. Repeated T-cell-mediated autoimmune attacks of the CNS grey matter induce persistent inflammatory lesions with proceeding neurodegeneration. This leads us to the HYPOTHESIS that T cells not only trigger the initiation of autoimmune disease bouts but in addition directly contribute to the chronification of the disease by irreversibly shifting brain resident cells to an inflammatory program. The central AIM of this project is to uncover the mechanisms behind this T-cell-induced neuronal transformation process, particularly the functional consequences of the T-cell invasive behavior. Our VISION is to shed new light on this previously unknown function of autoaggressive T cells within the CNS tissue and thereby pave the way for new and targeted strategies to prevent autoimmunity-driven degeneration of the central nervous system.
School for Quality of Life. Policy, practice and theory for a quality of life approach in European school systems. (SQoL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

In 2007, the European Commission, the European Parliament, the OECD and the WWF hosted a conference titled "Beyond GDP" . The conference was attended by over 650 policy makers, experts and social activists and aimed to criticize the use of GDP (Gross Domestic Product) as an economic indicator of the wealth of nations, and to advocate for a society better able to foster and measure wellbeing and quality of life (QoL). The “QoL Initiatives” are a heterogenic and informal movement of scholars and transnational institutions who aim at developing new theories, policies and indicators about quality of life.The most influential ones include: the EU’s Quality of Life in Europe, the Stiglitz-Sen-Fitoussi Commission, the OECD’s Better Life Initiative, the UN Sustainable Development Goals, the World Happiness Report, and the OCSE PISA Students' Well-being. So far, little has been done within educational research to critically study the educational relevance, impact and potentials of the ongoing “QoL Initiatives”, in particular how this movement will shape education systems. Moreover, a terminological confusion related to concepts such as happiness, wellbeing and quality of life must be clarified and operationalized in order to support educational theories and policies. The main research question of my project is: what is the role of QoL policies, theories and practices in education system and how can a School for Quality of Life (SQoL) model be? The hypothesis is that QoL policies, which are still fairly new, will increasingly influence European educational systems in the near future. My overall objective is to map and critically analyse the impact of such policies on the educational systems, with a particular focus on primary and lower secondary schooling (pupils age 6-16), and to provide a School for Quality of Life (SQoL) model. My study will be the first to provide a solid analysis of the impact of the QoL initiatives and policies on European education systems.

Keywords: school system,quality of life,wellbeing,policy analysis,mix methods
Advanced Decision Support Tools for Scalable Web Accessibility Assessments (WAI-Tools)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Norway,France,Netherlands,Portugal,Denmark
Call: Interfaces for accessibility (H2020-ICT-2017-1, 2017)
Start date: 2017-11-01
End date: 2021-01-31
Duration (months): 39.0
Total project cost (EUR): 2244493.75
EU funding (EUR): 1999812.0
Participants: 9
Project status: CLOSED

WAI-Tools, Advanced Decision Support Tools for Scalable Web Accessibility Assessments, drives innovation with sustainable impact on the entire field of web accessibility evaluation and repair through: • Building on the on-going international standardisation efforts on web accessibility conformance testing; • Ensuring consistent accuracy across automated, semi-automated, and manual web accessibility testing; • Pursuing leading edge technologies for website testing, including dynamic and mobile web applications; • Leveraging the existing market of commercial, free, and open source web accessibility evaluation tools; • Demonstrating large-scale web accessibility monitoring built on open standards and open source tools. WAI-Tools achieves this by carrying out key efforts in the vendor-neutral environment of the World Wide Web Consortium (W3C). WAI-Tools draws together key expertise from industry,public bodies, and research to develop common understanding of web accessibility requirements in exchange with the existing community and networks of the W3C Web Accessibility Initiative (WAI). WAI-Tools is uniquely positioned and qualified to develop authoritative resources that are coordinated and aligned with the on-going European and international efforts on web accessibility standardisation, including W3C Web Content Accessibility Guidelines (WCAG) 2.1,the expected revision of EN 301 549, and upcoming EC definition of mobile requirements and monitoring methodology in light of the EU Directive on web accessibility. WAI-Tools maximises the impacts while minimising the use of project resources by building on existing open source tools from leading market vendors, rather than investing in teething troubles of less mature tools. WAI-Tools deploys testing tools in existing web accessibility monitoring observatories and integrates these differing national approaches using open data, to demonstrate easier and more cost effective assessment of web accessibility requirements at scale

Keywords: accessibility,evaluation,monitoring,compliance,standardisation,scalability