Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
INSULATION SOLUTION BASED ON AEROGELS (ISBA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Space
Destination: Open Strategic Autonomy in Developing, Deploying and Using Global Space-Based Infrastructures, Services, Applications and Data
Action type: Research and Innovation actions
Countries involved: Germany,France,Spain,Hungary
Call: Space technologies for European non-dependence and competitiveness (HORIZON-CL4-2022-SPACE-01, 2022)
Start date: 2022-11-01
End date: 2026-04-30
Duration (months): 42.0
Total project cost (EUR): 2999350.0
EU funding (EUR): 2999350.0
Participants: 11
Project status: SIGNED

The need for thermal insulation pertaining to space applications, e.g., satellites and launch vehicles, demands the requirement for the components of the satellite or launch vehicles to remain within the operating temperature range throughout the life of the satellite or the course of the journey. The project ISBA proposes to develop a disruptive technology through seven different applications in the space sector, based on aerogels or xerogels which will be used as a new thermal insulation solution in order to make it competitive, clean, compact, easier to produce and assembly. In the specific domain of space, the impact of the project will enable an amplified profit at product level, allowing to design new concepts, way lighter, by avoiding secondary structures for maintaining MLI layout or rigid shield, and cheaper than the reference solutions. The technology thus assembled will guarantee a level of cleanliness compatible with the level of requirements of space applications, which will be one of focal points of ground-breaking developments. Thus, the overall objectives of the project can be summarized as follows: (i) Develop aerogel/xerogel-based solutions for cryogenic, in the range of LN2 (-195.79°C) to -50°C, moderate, up to 800°C and high temperature, above 800°C, space applications, (ii) develop additive manufacturing technologies specifically for aerogels in space applications, (iii) develop coating-technologies on aerogels/xerogels for operating in space environments, (iv) improve cleanliness of aerogels by developing enveloping technologies tailored for aerogels, (v) enhance industrial competitiveness of aerogel/xerogel solutions in space, and (vi) present EU-efficient alternatives to the current MLI solutions, thus reducing dependency on US technologies. To achieve these objectives, a consortium of two major end-user industry partners from EU, five major research and development centers focusing on aerogels, ceramics, and coatings, and one industry partner experienced in packaging technologies is established.

Keywords: aerogel,xerogel,satellite,launcher,reentry,thermal insulation
First-in-class Bacteriophage Therapy to Combat Antimicrobial Resistance in Diabetic Foot Infections (TP-102)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Portugal
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 42.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Lxbio, a Portugal-based biopharmaceutical SME, is pioneering bacteriophage-based therapies to combat antimicrobial resistance (AMR) in high-need medical areas. With a mission to advance global healthcare, Lxbio has developed TP-102, a groundbreaking first-in-class bacteriophage cocktail designed to target multi-drug-resistant bacterial infections in diabetic foot infections (DFI). Comprising five lytic bacteriophages, TP-102 offers a broader spectrum of activity, superior biofilm penetration, and enhanced safety compared to existing treatments. Recognized for its innovation, TP-102 has achieved FDA Fast Track designation and is the first bacteriophage treatment to enter Phase IIb clinical trials. Lxbio seeks EIC funding to support TP-102’s clinical development through Phase 3 trials and position it as the first approved phage therapy in Europe and the U.S. Revenue generated from TP-102 will drive further innovation in Lxbio’s bacteriophage and antibody pipeline, including candidates for hospital-acquired pneumonia, atopic dermatitis, and blepharitis. By delivering transformative solutions for AMR, Lxbio aims to reshape infection management, improving patient outcomes and addressing a critical global health challenge.

Keywords: bacteriophage therapy,lytic bacteriophages,antimicrobial resistance,diabetic foot infections,precision medicine,precision therapy,multi drug resistant bacteria,high safety profile
Insecure Parents and Children: a Sequence Analysis Approach. A holistic investigation of the role of employment uncertainty in the reproduction of social inequalities. (INSEQU)

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: Social Sciences and Humanities
Countries involved: Finland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-07-01
End date: 2028-06-30
Duration (months): 24.0
Total project cost (EUR): 226276.8
EU funding (EUR): 226276.8
Participants: 1
Project status: SIGNED

The intergenerational transmission of social inequality follows several pathways throughout one’s life. Scholars have investigated the role of parental education, social class, income, and employment status. However, less is known about the effects of precarious jobs, albeit it is a common experience in post-Fordist societies, to the extent that, on average, one in four workers held a temporary contract in Europe. Moreover, workers experience disruptive levels of work-schedule instability and work-hour volatility. Employment uncertainty has been linked to lower income, job prospects, and health of the worker and their partner. Emergent literature has linked parents’ non-standard jobs to children’s development and educational path. In this project, I plan to analyze the link between parents’ employment trajectories and children’s outcomes, from perinatal to mental health and educational trajectory. I aim to make the following contributions. First, in the life-course framework, I integrate work and family trajectories of the adults acting in a parental role using multichannel sequence analysis. This approach allows us to focus on the timing, order and cumulative dimensions of disadvantage, both between the parents and over time. Second, I investigate the patterns at the intersection of social class, gender and migration background, using the Kitagawa-Oaxaca-Blinder decomposition. This method will help us disentangle the roles of composition and returns to life courses. Third, I explore how causally ordered multiple mediators —such as income, parental stress and health behaviour —can explain the observed patterns, by estimating path specific effects. Fourth, comparing different welfare regimes can provide insight on how to mitigate the effect of precarious work trajectories on the intergenerational transmission of inequality. In particular, I aim to compare the Finnish case with those of the Netherlands and the United States.

Keywords: intergenerational inequality,employment uncertainty,sequence analysis,education inequality,health inequality,family sociology
Patient Relevant Osteoarthritis endpoints using Big data Evaluation (PROBE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Innovative Health Initiative
Action type: Research and Innovation actions
Partnership: IHI (JU-JTI)
Countries involved: Netherlands,United Kingdom,Germany,Finland,Spain,Denmark,France,Sweden,Belgium,Ireland,Austria,Estonia,Norway,Switzerland,United States,Brazil
Call: Novel Endpoints for Osteoarthritis (OA) by applying Big Data Analytics (HORIZON-JU-IHI-2024-08-two-stage, 2024)
Start date: 2025-12-01
End date: 2030-11-30
Duration (months): 60.0
Total project cost (EUR): 25876362.8
EU funding (EUR): 13999883.0
Participants: 45
Project status: SIGNED

Osteoarthritis (OA) causes pain, disability, and economic burden for 500+ million people. Developing disease modifying osteoarthritis drugs is crucial, but challenging due to disease heterogeneity, slow progression, and regulatory issues. The PROBE consortium addresses these challenges by integrating diverse and disparate datasets, combined with all necessary expertise, creating a federated database network. PROBE will unite critical mass in OA data and multidisciplinary disease specific expertise, federated infrastructure experts, AI and ML expertise, data privacy and ethics experts, health economics and outcome researchers, and indispensable patient, HTA, and regulatory perspectives experts, to achieve significant advancements in trial designs and tools for shared decision making. The overarching aim of PROBE is to deliver data-driven opportunities for the treatment of OA, through enhancements in patient stratification, predicative modelling, patient/caregiver interface decision tools and clinical trial design. Outcomes include a federated and regulatory compliant database network of disparate OA data for powerful, innovative big data methodology. In close collaboration with key stakeholders, we will also provide novel multimodal and relevant endpoints to test emerging treatments, models to enable stratified medicine and support shared prognostic and treatment decision-making and Health Technology Assessment. The impact of PROBE encompasses the foundation for advanced clinical trial design, predictive models for OA progression, novel endpoints, stratified patient subgroups and the ability to target treatments to patients’ needs and preferences, and tools that enable specific functional measurements and reflect real-life treatment benefits. The PROBE consortium holds the potential to reshape the landscape of OA clinical trials/treatment and ultimately improve the lives of all people affected by OA.

Keywords: federated learning disease outcomes targeted treatment prediction prognosis osteoarthritis patient perspectives shared decision making co creation
Direct Numerical Simulation of Low Prandtl Number Flows for Future Nuclear Reactors (NS-LPNR)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-07-01
End date: 2028-06-30
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

The decarbonization of the energy sector is crucial for achieving global climate goals. Nuclear energy, with its capacity for reliable, low-emission electricity generation, is essential for the transition to a sustainable, low-carbon energy future. Advanced Modular Reactors, which often employ low Prandtl number coolants like liquid metals, hold significant promise for improving safety, efficiency, and cost-effectiveness. However, the thermal-hydraulic behavior of low Prandtl number flows in these reactors, characterized by complex interactions between buoyancy, turbulence, and heat transfer, remains poorly understood. This knowledge gap poses a challenge for the modeling and safe operation of next-generation nuclear reactors. The proposed research project aims to address this gap by generating high-fidelity Direct Numerical Simulation (DNS) data for mixed convection flows with low Prandtl numbers. This study will focus on critical phenomena such as laminar-turbulent transition, and the intricate interplay between buoyancy and turbulence under conditions representative of advanced nuclear reactors. By leveraging advanced computational techniques, this project will provide detailed insights into the turbulence dynamics and heat transfer mechanisms, offering a robust foundation for developing and validating improved turbulence models. The methodology integrates DNS, machine learning (ML) algorithms, and advanced vortex dynamics techniques to capture and analyze the complex fluid behaviors in low Prandtl number flows. The interdisciplinary approach combines fluid mechanics, nuclear thermal hydraulics, and ML. Hosted by Imperial College London, under the supervision of Professor Sylvain Laizet, this fellowship will significantly enhance my expertise in high-fidelity simulations and turbulence modeling. It will position me to contribute to the development of safer and more efficient nuclear reactors, while advancing my career in nuclear thermal-hydraulic research.

Keywords: high fidelity simulations,low prandtl number,turbulence modeling,cfd,machine learning,nuclear thermal hydraulics,advanced nuclear reactors
V A L I D A T E - Validation of a Trustworthy AI-based Clinical Decision Support System for Improving Patient Outcome in Acute Stroke Treatment (VALIDATE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Norway,Israel,Spain,Belgium
Call: Clinical validation of artificial intelligence (AI) solutions for treatment and care (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-05-01
End date: 2026-04-30
Duration (months): 48.0
Total project cost (EUR): 5918175.0
EU funding (EUR): 5918175.0
Participants: 11
Project status: SIGNED

Based on previously developed models and an existing prototype of a clinical decision support system (patent pending), we set out in this project to further develop, test, and validate this clinical decision support for the treatment stratification of acute stroke patients to improve patient outcome. Machine learning (ML)-enabled Artificial intelligence (AI) methods are increasingly adopted in the medical field. Implementing ML-based CDSSs have the potential to be go beyond the current clinical state-of-the-art as AI excels at finding complex and non-linear relationships across a multitude of prognostic variables. AI also has the promise to combine different modalities, such as imaging and clinical values, leading to powerful stratification tools accounting for a multitude of patient sub-populations. Our consortium combines excellence in technical and medical machine learning development with the clinical expertise of three leading stroke hospital partners. Additionally, our consortium benefits from the special expertise in the development of trustworthy AI, software design, and the translation of AI models to the clinical setting with focus on the regulatory process. By leveraging the available medical data and exploiting technological opportunities in the field of AI, and developing and validating trustworthy AI solutions to be implemented in the clinical workflow we are seeking to surpass the clinical state-of-the-art by making a significant and sustainable impact on the treatment of acute stroke that will improve patient survival, outcome and quality of life. The results of our work will serve as a pathway for future projects and we will make our experiences public in the form of standard operating procedures (SOPs) in the areas of development, testing, validation, and regulatory processes.

Keywords: stroke,quality of life,outcome,machine learning,deep learning,artificial intelligence,clinical decision support systems,hospital information systems
Transmission over Channels with Insertions and Deletions (TRANCIDS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Türkiye
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2410000.0
EU funding (EUR): 2410000.0
Participants: 1
Project status: SIGNED

Insertions and deletions represent perhaps the most challenging impairments exhibited by communication channels in a wide range of applications from recording systems and covert communications to DNA storage. While tremendous progress has been made in determining the ultimate limits of communication using information-theoretic tools as well as in designing and implementing signaling solutions for various channel models with practical significance; for the case of insertion/deletion channels, even the simple scenarios are not fully understood. For instance, we do even not know the capacity of the basic independent and identically distributed binary deletion channel. TRANCIDS will take on the monumental challenge of conquering the insertions and deletions by developing precise theoretical limits of communication and by designing explicit and implementable coding solutions approaching these limits. Specifically, TRANCIDS will 1) establish with precision the capacity of basic deletion/insertion channels, and obtain tight upper and lower bounds on the capacities of more sophisticated channel models encountered in practice (including the effects of noise and interference); 2) formulate and explore wireless communication problems with insertions and deletions (including multi-input and multi-output systems as well as different multi-user communications settings); 3) develop explicit and implementable channel coding solutions for a variety of channel models with insertions and deletions of practical importance; 4) address the channel capacity and code design problems for channels with additional impairments such as permutations as motivated by in-vivo DNA storage applications. TRANCIDS will highly impact different emerging applications such as DNA storage and beyond 5G wireless communications. Furthermore, the findings will help facilitate the development of DNA computing technologies of the future.

Keywords: channel coding,information theory,channel capacity,insertion deletion channels,dna storage,recording channels
Reactive nitrogen and carbon Emissions From biocrusts at different Locations of the World (REFLOW)

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: Environment and Geosciences
Countries involved: Denmark,Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 263393.28
EU funding (EUR): 263393.28
Participants: 2
Project status: SIGNED

Biological soil crusts (biocrusts) cover up to 12% of the Earth's surface and are integral to nutrient cycling in these nutrient-deficient ecosystems because they have remarkable ability to fix atmospheric carbon and nitrogen. Recent studies have begun to recognize biocrusts as a potentially substantial source of reactive nitrogen, which can have significant consequences for the atmosphere. However, these estimations suffer from limited observations, particularly in some major biocrust-clustered zones that have been overlooked. Additionally, the emissions of reactive carbon, which also carry significant atmospheric and climatic implications, remain unexplored. Therefore, this project aims to address these gaps by pursuing the following objectives: (1) Quantify the sources of reactive nitrogen and carbon from biocrusts across various global locations, (2) Establish empirical relationships between biocrust emissions of reactive nitrogen and carbon and environmental factors, particularly under the influence of climate change, and (3) Generate improved predictions for regional and global-scale emissions of reactive nitrogen and carbon by integrating them into the existing modeling framework. This endeavor leverages state-of-the-art online measurement techniques for atmospheric reactive gases and employs a mechanistic modeling approach, and a high degree of complementary expertise between the host (secondment) and I. Ultimately, this project promises to significantly enhance our understanding of reactive nitrogen and carbon emissions from biocrusts on a global scale and provide a reliable foundation for assessing their atmospheric and climatic implications.

Keywords: reactive nitrogen,volatile organic compounds,biocrusts,climate change,dryland
Towards a terahertz short-range wireless communication system based on graphene devices (HERMES)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy,Finland,United Kingdom,Lithuania,France,Japan
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 1037785.71
EU funding (EUR): 921840.0
Participants: 9
Project status: SIGNED

The HERMES project has the ambitious goal of providing breakthrough technological solutions towards the implementation of ultra-fast (100 Gbit/s) short-range wireless communication systems at room temperature, significantly surpassing existing technologies such as Wi-Fi 7 (40 Gbit/s) and 5G mmWave (10 Gbit/s). Such a technology would be a breakthrough for applications like monitoring, security, or sensing/medical. Most of the current technology limits in terms of data rate, carrier frequency, dimensions, energy efficiency, controllability, and tunability, are intrinsically related to the use of conventional materials and standard architectures. The HERMES project aims at overcoming these limits by demonstrating novel components of this envisaged system (emitters, detectors, and interfaces) that combine the advantages of using graphene and other 2D nanomaterials (high carrier mobilities, tunable charge carrier density, long lifetime of plasma waves) with that of operating in the THz range (high bandwidth and data rates). The HERMES project has the ambition to design, fabricate and validate - a novel THz emitter made by using graphene and a novel THz detector made by using 2D nanomaterials, both integrated into silicon and working at room temperature; - novel all-optical and electro-optical interfaces between THz devices and optical communication links. These goals will be achieved by the HERMES international network of academic and industrial partners, well-balanced in terms of competencies, expertise, and resources. Given the past achievements of the partners, a starting TRL 2 is estimated, while the final one will be TRL 4. The planned research, training, knowledge transfer, and networking actions will foster long-lasting research collaborations, strengthening existing ties (many created within MSCA actions) and establishing new links. The success of the HERMES project has the potential to strengthen Europe’s position in wireless technologies (6G and beyond).

Keywords: graphene,thz emitter,thz detector,2d nanomaterials,silicon integration,optical communication link,optical and electro optical interfaces,short range wireless communications