Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development and validation of the first digital, clinical grade flow cytometry platform for enhanced diagnosis accuracy and sustainability in immunology and hemato oncology (METAflow)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-01-01
End date: 2024-06-30
Duration (months): 18.0
Total project cost (EUR): 3570827.5
EU funding (EUR): 2499579.0
Participants: 1
Project status: CLOSED

After successful development of METAglut1, an IVD Medical Device for diagnosis of the Glut1 Deficiency Syndrome ( available for clinical use), we are currently focused on developing a new breakthrough solution: METAflow. Flow cytometry (FC) is a powerful tool widely use in research. However, the high cost and complexity of interpretation of FC data hampers its full clinical exploitation. Main pain-points of clinical FC data analysis, include need for manual analysis, which is accompanied by complexity with increasing number of dimensions, lack of robustness and limited scale-up. The lack of automated analytical process stems from dearth of robust algorithms, limited regulatory compliance and need for considerable coding skills. With METAflow we bring to the market the first digital, clinical grade FC platform, which offers comprehensive data analysis, robustness, and usability, addressing the “lost in translational research” issue of flow cytometry in the clinics.
Development of CIRCular optimised material solutions for WIND turbine blades and support structures (CIRCWIND)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Norway,Denmark,Iceland,Spain,Italy,Belgium
Call: Critical technologies to improve the lifetime, efficient decommissioning and increase the circularity of offshore and onshore wind energy systems (HORIZON-CL5-2023-D3-02, 2023)
Start date: 2024-10-01
End date: 2028-09-30
Duration (months): 48.0
Total project cost (EUR): 3999662.5
EU funding (EUR): 3999662.5
Participants: 9
Project status: SIGNED

CIRCWIND will develop and validate innovative technologies for current and future wind turbines (WT), to enhance reliability and lifetime, performance, operability and maintainability, as well as to find cost-efficient pathways towards complete circularity in a context where a growing number of WT are reaching their EoL. CIRCWIND’s most relevant results are: - A prototype Fibre-Reinforced Polymer (FRP) material for blades with improved damage-tolerance and fatigue life, using a new multiscale modelling tool and simulation framework. - A circular low Carbon concrete material for offshore floating WT based on a new geopolymer binder and circular lightweight aggregates (CLWA). - New virtual replica-based constitutive models and simulation tools for the FRP material and geopolymer concrete, coupled with monitoring technologies allowing to simulate and predict failure and lifetime, and enabling future digital twinning for blade and substructure components. - Integrated sustainability analysis addressing social, economic and environmental aspects, as well as improved circularity. CIRCWIND will develop its technologies to TRL5, building prototypes and validating them in relevant environmental conditions. Representative components of TLP floater and blade have been chosen, made of geopolymer concrete and FRP materials respectively. These innovations will allow future WT to include circular and cost-efficient materials installed in critical WT components at operating windfarms, ensuring feasibility, sustainability, acceptability and high replicability. Besides, new simulation tools, virtual replicas, DT to improve O&M costs. CIRCWIND consortium has a good balance of academic and industrial partners, which allows the project’s developments to be well-oriented towards real market needs that in addition to the strong dissemination and exploitation plan proposed will maximise future impacts, clustering with relevant Offshore Wind stakeholders.

Keywords: wind turbine wt floating reliable wt components new materials frp geopolymer concrete clwa circular lightweight aggregate circularity sustainability reduced lcoe extended life
BUILDING CAPACITIES FOR EXCELLENT RESEARCH AND INNOVATION IN DEMOCRACY AND POLICY THROUGH NETWORKING, KNOWLEDGE AND EXPERIENCE TRANSFER (BRRIDGE)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Slovakia,Austria,Italy,Ireland
Call: Twinning (HORIZON-WIDERA-2021-ACCESS-03, 2021)
Start date: 2022-10-01
End date: 2025-12-31
Duration (months): 39.0
Total project cost (EUR): 1557962.5
EU funding (EUR): 1474312.5
Participants: 4
Project status: SIGNED

One of the key strategic orientations of Horizon Europe is to build a more inclusive, sustainable, prosperous, and democratic European society and unlock the full potential of the European Research Area by reducing the wide gaps that exist between national research systems. The BRRIDGE project will contribute to these goals by twinning Matej Bel University (UMB), an emerging Slovak public university located in a country that is struggling to improve its research and innovation performance and within a region with one of the lowest R&I levels in the EU, with three top-class partners across Europe — Central European University, European University Institute, and the National University of Ireland Galway. BRRIDGE aims to build research excellence in the domain of democracy and policy at UMB, as well as to advance the research management and administration capacity of UMB, while generating knowledge that contributes to the quality of democracy in Slovakia and in Europe as a whole. The project focuses on four specific objectives: strategic networking, building capacities, strengthening excellence in research, and fostering democracy through community and policy engagement. Together, these four form the basis for the work plan, project achievements, and desired impacts. Building on the vast potential of strategic networking of the consortium to generate excellence, the project will raise the reputation and attractiveness of UMB nationally and internationally by enhancing its research capacity through joint collaboration, knowledge transfer, exchange of best practices, and networking. In addition to this, BRRIDGE will lead to higher engagement of a broad group of various stakeholders in research processes through the creation of the Democracy Living Lab in the Banská Bystrica Self-Governing Region (Central Slovakia).

Keywords: networking,capacity building,excellence in research,democracy and policy
SELECTION VERSUS DRIFT IN THE RISE OF DELETERIOUS MUTATIONS: THE CASE OF FAMILIAL MEDITERRANEAN FEVER (FeverTime)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Ireland
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 199694.4
EU funding (EUR): 199694.4
Participants: 1
Project status: CLOSED

Familial Mediterranean Fever (FMF) is the most frequent monogenic autoinflammatory disease worldwide. It is caused by mutations in the gene pyrin which are surprisingly frequent (up to 20%) in individuals of East Mediterranean ancestry. The evolutionary forces behind such a high local mutation load are unknown but it has been suggested as an example of balancing selection with a selection pressure from past infections. Hemoglobin disease variants conferring malaria protection are the (rare) textbook examples of such but are atypical with recent and unusually high selective pressure. By taking advantage of the human population history of Armenia, the excellent preservation conditions of archaeological remains in the region, and remarkably high frequency of FMF disease in the Armenian population, the FeverTime project aims to develop the most comprehensive real time account on the role of evolutionary forces in the local mutation burden. FeverTime will leverage ancient DNA time series data from Armenia within a sophisticated population genomic analytical framework to yield key results regarding the evolution and spread of the disease. The findings will have broad implications for genetic epidemiology, reflecting EU policy priorities

Keywords: ancient dna,familial mediterranean fever,armenia,selection,genetic drift
A multiscale Machine Learning based Software for the Simulation of Catalytic Processes (CATALYSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Italy
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-06-01
End date: 2024-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The reduction of the environmental footprint of the chemical and related industries is nowadays of utmost importance. The transition towards more sustainable processes that combine efficient use of raw material and energy with higher transformation rates, better selectivity and higher mass and energy efficiency will contribute to meet the objectives of the green deal. In this respect, catalysis engineering is pivotal to developing technologies able to meet these goals and to shape the sustainable economy of the future. The accurate description of this multiscale process has a substantial impact on the performances of the entire chemical process and, consequently, on many manufacturing sectors. The description of the catalytic process requires a detailed and accurate definition of the intrinsic reactivity, by means of first-principles kinetic schemes, coupled with rigorous models at the reactor scale. Currently, this approach is hindered by the limited available computational resources which prevent the adoption of detailed and atom-resolved kinetic models into reactor simulations with a reasonable computational burden. To overcome the limitations identified above, starting from the results obtained during the ERC Stg “SHAPE” (n. 677423), we propose MultiCAT, a highly accurate yet computationally lean multi-scale physics-guided machine learning-based surrogate modelling framework of the entire reactor from the atomistic to the process scales. This represents a leapfrog improvement in the detailed numerical modeling of catalytic processes, by achieving a drastic reduction in the computational cost with a concomitant boost in the prediction reliability, and paving the way for a new generation of catalytic process models, an evolution of hybrid digital twins, for online process design, optimization and control.
Nanofluidic chips for reproducible cryo-EM sample preparation with picoliter sample volumes (CryoChip)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-05-01
End date: 2023-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Cryogenic transmission electron microscopy (cryo-EM) is a technique for high-resolution imaging of radiation-sensitive biological macromolecules under near-native conditions. Cryo-EM sample preparation techniques rely on rapid cooling of an aqueous suspension of biological macromolecules to obtain a thin layer of amorphous ice containing the solute. Problems associated with current implementations are considered a major bottleneck to realizing the full potential of cryo-EM: excessive sample consumption, the difficulty to reproducibly obtain ice conditions suitable for high-resolution imaging and the extensive contact of solute molecules with a large air-water interface result in only a small fraction of the imaged molecules contributing useful information for the final 3D reconstruction. Poor time resolution of these methods furthermore precludes the visualization of dynamic structural changes that provide critical biological insight. In our laboratory we have developed technology to design nanofluidic MEMS devices suitable for cryo-EM imaging. We here propose to explore product development of a nanofluidic chip for reproducible sample preparation with picoliter volumes. The sample is contained in nanochannels formed between membranes of an electron-transparent material, thereby controlling ice thickness and avoiding formation of an air-water-interface. This method has all features to push cryo-EM to new frontiers: it requires minute amounts of sample, robustly provides uniform and customizable thickness gradients across the sampling area at a time resolution that is limited only by the vitrification process itself. Our CryoChip will provide entirely new opportunities for time-resolved cryo-EM imaging and high-throughput applications in structure-based drug design for pharmaceutical industry. We will liaise with an industrial partner experienced in MEMS probe fabrication to explore processoptimization and viability of larger-scale production.
Automated online monitoring of smart composite structures (ASSESS)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Netherlands,Greece,Italy,Poland,Austria,Belgium,Germany,United Kingdom,France,Switzerland
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2024-11-01
End date: 2028-10-31
Duration (months): 48.0
Total project cost (EUR): 2957779.54
EU funding (EUR): 2846592.0
Participants: 22
Project status: SIGNED

Composite materials are characterised by their unique “smart” capability of integrating nanomaterials and permanently installed sensing devices to enable accurate monitoring of the structural integrity. However, the full-scale industrial use of smart composites is hindered by the lack of wireless and easy-to-install embeddable sensors, automated and reliable data processing methods for damage diagnosis and prognosis in real-life operational conditions, accurate modelling tools, standardisation procedures, and trained operators. The ASSESS project aims to address all these issues and bridge the gap between research and industry by designing, manufacturing, and testing new-generation smart Fibre Reinforced Polymer (FRP) composites through the research activities of 12 Doctoral Candidates (DCs). The ASSESS consortium will leverage multi-disciplinary collaborations between world-leading organisations in structural health monitoring, materials and computer science, aerospace and civil engineering to develop a novel research & training programme in Europe for the structural integrity of smart composites. Through extensive research, training events and secondments, DCs will embrace diverse emerging technologies, such as smart composites, advanced simulations, wireless sensors, artificial intelligence data-driven approaches and digital twins. These technologies will be key enablers towards Industry 4.0 and the Internet of Things for the most strategic industries in Europe such as aviation, space, and wind energy, and support their future careers in these fields. Smart composites will empower safer, more lightweight, and structurally efficient composite aerospace components and wind turbine blades, which in turn will contribute to reduce material waste, aircraft fuel consumption, C02 emissions and enhance renewable wind energy production. Hence, ASSESS will play a pivotal role in the context of future European green energy and transportation.

Keywords: composite materials,structural health monitoring,non destructive testing
AI, Data and Robotics ecosystem (Adra-e)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Coordination and support actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: France,Netherlands,Spain,Germany,Ireland,Belgium,Croatia,Italy,Sweden
Call: European coordination, awareness, standardisation & adoption of trustworthy European AI, Data and Robotics (AI, Data and Robotics Partnership) (CSA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-07-01
End date: 2025-06-30
Duration (months): 36.0
Total project cost (EUR): 3998708.0
EU funding (EUR): 3998708.0
Participants: 15
Project status: SIGNED

AI, Data and Robotics (ADR) is omnipresent in our daily lives and key to addressing some of the most pressing challenges facing our society. Europe has excellent research centres, innovative start-ups, a world-leading position in robotics and competitive manufacturing and services sectors, from automotive to healthcare, energy, financial services and agriculture. While the essentials are present, European ADR is waiting for exploitation to achieve its full potential. The ADR ecosystem is inherently complex because many stakeholders at many different levels require a holistic strategy towards collaboration to be effective and efficient. The Adra Association, representing the private side of the ADR Partnership, leverages this diversity through its founding organisations (BDVA, euRobotics, CLAIRE, ELLIS, EurAI) and channels it to the benefit of the European ecosystem. The Adra-e CSA proposal is set up in close liaison with Adra Association and includes it as a partner, committed to sustain its outcomes. Adra-e should be seen as the operational arm of the partnership to foster collaboration, convergence and interoperability between communities and disciplines to advance European ADR while safeguarding the interest of European citizens. This is achieved by supporting the ADR Partnership in the update and implementation of the SRIDA, creating the conditions for an inclusive, sustainable, effective, multi-layered, and coherent European ADR ecosystem, leading to increased trust and adoption of ADR, a more competitive supply and demand sides in the EU and raising private investments at the same time.The consortium is composed of leading industry and research organisations with significant expertise in all three disciplines. All are involved in Adra and the associations and partnerships shaping European research. Many of them are supporting the Digitising European Industry initiative from the EC participating in the constitution of Digital Innovation Hubs Network and Digital platforms.
efficient Syntactic Analysis for Large-scale Sentiment Analysis (SALSA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-02-01
End date: 2024-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

One of the key aspects of any successful business is knowing how customers feel about its brand and products. For this purpose, sentiment analysis or opinion mining tools could be paramount in helping companies to succeed. However, the current state of the art sentiment analysis solutions (both commercial or academic) present important drawbacks including low accuracy, low performance (response time around 100-1000 ms), high computational cost and/or high price (around €500/month on average) relegating these solutions to consolidated big brands, social listening agencies or consulting firms offering social listening services. SALSA aims to democratize the analysis and transformation of internet/social data into knowledge creation for decision-makers, making large-scale sentiment analysis technology viable for small entities without massive computational power. SALSA will explore the potential of the powerful models and algorithms developed within ERC Starting Grant FASTPARSE to create the first AI-based syntax-guided sentiment analysis engine which is: a) accurate, due to using syntactic information to infer the opinions contained in each sentence from its structure and the relationship between its words, rather than shallow methods that consider words in isolation and b) cost-effective, due to employing fast parsers that have a throughput in the order of 1000 sentences per second on consumer-grade hardware, and that can work without time- and memory-hungry large language models. SALSA will follow an open-source software business model in which we will explore several sources of revenue, most based on service-level agreement. This will highly contribute to the competitiveness of the EU technological market by reducing their dependency on the oligopoly of technological giants (mostly American and Chinese) that currently have a dominant position in language technologies, largely thanks to their enormous computational resources.