Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Social PrEscribing integration in the Care Pathway for people with OsteoArthritis - SPECs-OA (SPECS-OA)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 252728.64
EU funding (EUR): 252728.64
Participants: 1
Project status: SIGNED

Osteoarthritis (OA) affects ~108 million Europeans, has a rising prevalence, and is one of the top causes of disability. Exercise has proven to improve outcomes, yet only 33% of patients adhere to physical activity guidelines. Social Prescribing (SP) is a public health strategy that connects healthcare with community resources, addressing non-clinical needs such as physical activity and social isolation. Despite its potential, little research has explored SP in OA care. SPECs-OA aims to investigate whether SP can be integrated into OA care pathways, and if so how, through the following specific research objectives: 1) To conduct a rapid systematic review evaluating the effectiveness and cost-related outcomes of SP for chronic conditions; 2) To evaluate the impact and implementation of SP in OA care using an innovative multi-level mixed-methods realist approach, with patients and professionals, exploring how SP works, for which patients, and under what conditions; 3) To co-design an international, transferable framework to guide SP integration in OA care, using World Café methodology, in collaboration with patients, healthcare professionals, and SP stakeholders. SPECs-OA will advance knowledge on the evidence of SP effectiveness for chronic conditions, being to the best of our knowledge the first study to analyse the impact of SP in people with OA. SPECs-OA framework will provide a SP guide for health professionals and OA patients, and influence health policies, to ultimately optimize individual and organizational outcomes. To undertake SPECs-OA, I will relocate to the Royal College of Surgeons in Ireland, where I will receive tailored training on SP, implementation science, realist evaluation, health economics, and collaborative methodologies. This will enhance my expertise in the implementation of innovative interventions with real-world meaning, preparing me to lead future research and contribute to public health initiatives in chronic disease management.

Keywords: osteoarthritis,social prescribing,realist evaluation
A European Doctoral network on Advanced Meta-materials and Meta-Structures for Adaptable, Resilient and Sustainable renewable energy power plants (Met2Adapt)

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: Greece,Portugal,Italy,United Kingdom,Spain,Belgium,Denmark,United States,Switzerland
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-02-01
End date: 2030-01-31
Duration (months): 48.0
Total project cost (EUR): 4274665.92
EU funding (EUR): 4154903.64
Participants: 19
Project status: SIGNED

This research puts forward an ambitious research and training plan that will foster a new generation of researchers able to design and deliver sustainable meta-materials for vibration mitigation, self-aware meta-components and eventually carbon-efficient yet safe meta-structures for the renewable energy sector. These solutions will be consistently backed up by tangible durability and damage metrics and the development of new code standards that will ensure fitness for service also with respect to the nearby communities. The focal point of this research will be the deployment of custom-fit solutions for infrastructure that is critical to the European energy resilience, i.e., offshore and onshore wind farms, and wave-energy converters. On the training side, M2A brings together a team of world-leading academic and industrial experts and puts in place an innovation driven training programme. They will be able to drive forward the long overdue integration of advanced materials in renewable energy production. Key to our training methodology is our firm commitment on establishing an active and student-centred ‘training by research’ environment, which will put the Doctoral Candidates in charge of their training process. On top of the supervision arrangements provided by the Met2Adapt academic beneficiaries, the DCs will join a thriving training hub comprising formal courses, dedicated training weeks, academic and industrial secondments, and a dedicated industrial mentorship program.

Keywords: meta materials,maintenance planning,structural health monitoring,machine learning
Foundations of Generalization (FoG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1419375.0
EU funding (EUR): 1419375.0
Participants: 1
Project status: SIGNED

Arguably, the most crucial objective of Learning Theory is to understand the basic notion of generalization: How can a learning agent infer from a finite amount of data to the whole population? Today's learning algorithms are poorly understood from that perspective. In particular, best practices, such as using highly overparameterized models to fit relatively few data, seem to be in almost contradiction to common wisdom, and classical models of learning seem to be incapable of explaining the impressive success of such algorithms. The objective of this proposal is to understand generalization in overparameterized models and understand the role of algorithms in learning. Toward this task, I will consider two mathematical models of learning that shed light on this fundamental problem. The first model is the well-studied, yet only seemingly well-understood, model of Stochastic Convex optimization. My investigations, so far, provided a new picture that is much more complex than was previously known or assumed, regarding fundamental notions such as regularization, inductive bias as well as stability. These works show that even in this, simplistic setup of learning, understanding such fundamental principles may be a highly ambitious task. On the other hand, given the simplicity of the model, it seems that such an understanding is a prerequisite to any future model that will explain modern Machine Learning algorithms. The second model considers a modern task of synthetic data generation. Synthetic data generation serves as an ideal model to further study the tension between concepts such as generalization and memorization. Here we with a challenge to model the question of generalization, and answer fundamental questions such as: when is synthetic data original and when is it a copy of the empirical data?

Keywords: stochastic convex optimization,statistical learning theory,theory of computer science,differential privacy
Mechanisms of inflammation resolution by Specialized Pro-resolving Mediators (ReSolVer)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Molecules of Life: B iological  Mechanisms , Structures  and Functions
Panel description: For all organisms : Molecular biology , biochemistry, structural biology, molecular biophysics , synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: Spain
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-05-01
End date: 2030-04-30
Duration (months): 60.0
Total project cost (EUR): 1999125.0
EU funding (EUR): 1999125.0
Participants: 1
Project status: SIGNED

Inflammation is an immunovascular process occurring upon pathogen infection and pathological conditions. Strong evidence from the last two decades shows that termination of inflammation is not a passive process but instead, is actively terminated. Such Inflammation Resolution (IR) stops tissue damaging processes while enhancing immune response and tissue repair. Enhancing IR has the potential to improve treatments in chronic inflammation, autoimmune diseases, atherosclerosis, neurodegeneration and cancer. Specialized Pro-resolving Mediators (SPMs) are lipid-derived molecules with a pivotal role in inducing IR and act through putative orphan G protein-coupled receptors (GPCRs) on the surface of immune cells (some acting through unknown receptors). Despite the high relevance of SPMs in IR and the treatment of inflammation-related diseases, there is scarce knowledge in their functional mechanisms, as well as in their relative and absolute effect. In the ReSolVer proposal we will use chemical synthesis, chemoproteomics, signaling, structural biology and primary 3D epithelioids to understand SPM mechanisms and provide a cell/tissue/disease inspecific SPM-receptor network so as to tackle the pleitropic effects of SPMs in different organs/disease. More specifically, we will: (i) Identify, validate and de-orphanize SPM receptors, using chemoproteomics, in vitro binding and signaling assays, (ii) Generate a functional SPM-receptor network, of SPM-receptor interactions, signaling profiles and cell expression levels, (iii) Determine the structural mechanisms of SPM-receptor interactions, using cryo-EM of SPM-receptor complexes and functional assays, (iv) Design and test synergistic SPM therapeutic strategies, based on the generated SPM-receptor network and human 3D primary epithelioids, The results will provide a breakthrough in inflammation resolution, tackle GPCR de-orphanization and open new therapeutic avenues in inflammation-related diseases.

Keywords: orphan g protein coupled receptors,inflammation,specialized pro resolving mediators
Smart manufacturing for autologous cell therapies enabled by innovative biomonitoring technologies and advanced process control (SMARTER)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Germany,Spain,United Kingdom
Call: Emerging Technologies in Cell and Gene therapy (HORIZON-EIC-2021-PATHFINDERCHALLENGES-01, 2021)
Start date: 2022-09-01
End date: 2026-02-28
Duration (months): 42.0
Total project cost (EUR): 1364281.25
EU funding (EUR): 1364281.25
Participants: 4
Project status: SIGNED

Autologous immunotherapies have revolutionised cancer treatment providing impressive survival benefits in patients with blood cancers. The next generation of personalised immunotherapies using tumour-infiltrating lymphocytes (TIL) aims to overcome efficacy limitations of CAR-T therapies in the treatment of solid tumours. Lack of effective, fast, adaptive, controllable and scalable manufacturing process remains one of the critical bottlenecks for clinical adoption of such complex personalised cell therapies. In the SMARTER project, Achilles Therapeutics UK Limited, a clinical-stage company developing autologous cell therapies, partners with the centre of excellence for Cell and Gene Therapy Catapult and academic experts in process biomarker discovery (Instituto de Investigacion Sanitaria La Fe) and bioprocess sensor development (Leibniz Universitat Hannover). The consortium aims to develop a first-in-class, smart bioprocessing manufacturing platform for personalised autologous cell therapies, implementing for the first time in-line process analytical technologies and smart process control systems. The project exploits breakthrough discoveries of novel T cell expansion process biomarkers and development of new fluorescence spectroscopy sensors for real-time monitoring of critical process parameters, toa enable adaptive process control of the precision TIL biomanufacturing process. After the project, the prototype R&D platform will be ready for follow-up development of the commercial scale bioreactor in GMP environment. The SMARTER platform will critically improve production efficiency, reduce overall costs-of-goods, shorten manufacturing cycle times (shorter vein-to-vein time), decrease batch failures and lead to more consistent and predictable cell therapy product quality. Finally, the innovations will enable clinical implementation of a potential breakthrough personalised adoptive cell therapy for hardest-to-treat solid tumours such as lung cancer and melanoma.

Keywords: bioprocessing,manufacturing,immunotherapy,automation,immunotherapy,sensors,metabolomics
Reproductive Rights and the Transnational Dynamics of Legal Mobilizations (REPRO-NETS)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 217076.16
EU funding (EUR): 217076.16
Participants: 1
Project status: SIGNED

The REPRO-NETS project aims to examine the impact and agency of conservative and progressive networks of non-state actors in shaping reproductive rights in Europe through strategic uses of law. The project examines recent "reproductive rights backsliding," where parliaments and constitutional courts, influenced by non-state actors, alter reproductive rights regulations, making reproductive rights in the EU increasingly dynamic and contested. Moving beyond traditional legal analyses it adopts a socio-legal perspective focusing on three novelties. First, it investigates not only "high-profile" legislation and constitutional courts' judgments but also "low-profile" laws, such as health care regulations and WHO guidelines. Secondly, it explores the legal strategies and tactics of "pro-life" groups and "pro-choice" together, compares them, and investigates the dynamics between their legal actions. Third, it examines cross-border and transnational processes and knowledge transfers as these organizations operate beyond the national state. Additionally, the project analyses the legal opportunity structures, strategies, and argumentation used by non-state actors, as well as the structural and institutional challenges of using legal mobilization in contemporary democracies. The main research question asks how transnational networks of non-state actors, both conservative and progressive, influence the reframing of reproductive rights in Europe through legal mobilization. This raises questions about how these transnational interactions influence reproductive rights reframing nationally and locally, how transnational ideas are translated into local settings by non-state actors, and why particular legal strategies are used over others. The project uses a mixed-methods approach, combining macro-level mapping and micro-level analysis. The findings will provide new insights into the legal strategies driving reproductive rights changes at national, European, and global levels.

Keywords: legal mobilization reproductive rights socio legal studies lawfare transnational advocacy networks
REmanufacturing, repurposing and recycling energy goods through advanced Mechatronic and Digital technologies (R3-Mydas)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Luxembourg,Belgium,Italy,Greece,Spain,Switzerland,Germany,Finland,Austria,Denmark
Call: Factory-level and value chain approaches for remanufacturing (Made in Europe Partnership) (IA) (HORIZON-CL4-2023-TWIN-TRANSITION-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 6413027.15
EU funding (EUR): 5058300.0
Participants: 16
Project status: SIGNED

Despite the multiple advantages of products remanufacturing, being widely recognised as an effective means for transitioning to a more circular economy, there is still need for improved research and experimental observations, to improve traceability and reliability of the final products from end-users’ perspectives, as well as enhanced impacts monitoring. The primary R3-Mydas objective is to develop a multi-actor framework, integrating innovative digital technologies (ML for process and quality control, marketplace, graph models for defects detection, digital twins), advanced mechatronics (AM, laser-cladding, automated disassembly/reassembly) and newly developed approaches from SSH (extended TAM/UTAUT models, ethics and legal framework), for functionally, environmentally and economically sustainable circular value chains for remanufacturing of energy goods at the factory level (Oil&Gas crankshafts – demo 1, E-vehicles batteries – demo 2, Wind turbines gearboxes – demo 3). R3-Mydas will deliver unprecedented impacts throughout the targeted value chains, as follows: up to 60% time reduction in programming for remanufacturing; up to 20% increased product quality; up to 30% rework reduction [Demo 1]; up to 30% improved detection of tiny deviations from normal behaviour; up to 50% faster anomaly localization; up to 30% increase the number of different modality data streams handled; up to 20% faster fusion process [Demo 2]; up to 99% reusage rate; -90% prevention rate; -75% lead time; up to 85% raw material savings potential [Demo 3]. The Project will deliver a marketplace associating to each remanufactured product or services/component for remanufacturing a Digital Passport-like set of information, ensuring full traceability. Finally, a dedicated training programme will be designed and delivered by EITM, targeting the Project remanufacturing value chains (100+ training hours and 100+ diverse stakeholders engaged during the Project).

Keywords: circular value chains for remanufacturing,advanced mechatronics,marketplace,traceability of remanufactured goods,ssh integration,remanufacturing process control,products quality control
Doctoral Network on Strains, Diagnostics and Variants (StraDiVarious)

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: Life Sciences
Countries involved: Finland,Sweden,United Kingdom,Norway,Germany,France,Portugal,Netherlands
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 5079298.27
EU funding (EUR): 4799002.32
Participants: 15
Project status: SIGNED

Resistance to antibiotic treatment of bacterial infections is a major threat to human health worldwide, with last-resort antibiotics becoming ineffective. Bacteria like carbapenem-resistant Acinetobacter baumannii, Enterobacterales and Pseudomonas aeruginosa head the WHO global pathogen priority list. New strategies are needed to treat AMR bacteria. Our DN StraDiVarious proposes targeting a key virulence trait: the initial interaction of bacteria with the host. Adhesion is the first and decisive step in infection, mediated by surface proteins called ‘adhesins’, which interact, either directly or indirectly, with the host cell surface to manipulate the host response. Our hypothesis is that we can distinguish between less virulent and more virulent strains of bacteria based on the fine details of their adhesins. This makes the adhesins interesting targets for both diagnostics and therapeutics. The StraDiVarious intersectoral network (including large Pharma and SMEs) will train the next generation of researchers in this important area, focusing on the initial interaction. Our targets include the clinically most relevant pathogens from the “ESKAPE” group (eg. A. baumannii, K. pneumoniae, P. aeruginosa, E. cloacae and S. aureus). The DCs will use state-of-the-art techniques at different levels: infection (tissue/cell), biochemical interactions (cell/molecule), structure (molecule/atom) and timescale (dynamics). We will integrate this information with large clinical strain data (genomics/ proteomics) and use machine-learning to understand the cause of virulence/non-virulence at the level of individual bacterial strains and protein variants. This information will be used not only to develop next-generation strain-specific rapid diagnostics suitable for point-of-care applications but also for finding potential drug/vaccine targets. Such precision medicine will reduce load on the health-care system, avert the antibiotic crisis, and improve patient quality of life.

Keywords: mass spectrometry nanodevices electrometry
Sperm Evolution and Speciation in Littorina (SpESL)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-15
End date: 2026-09-14
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

Sperm cells are the most morphologically diverse animal cells, but how does that diversity arise, and what are its evolutionary consequences? This project investigates the causes and consequences of divergence in sperm morphology between ecotypes in an intertidal snail species, Littorina saxatilis, where it was recently discovered that sperm length has diverged both between ecotypes and among island populations. I will perform transcriptomics on testes to identify sperm-length related genes, gene networks, and their relation to chromosomal inversions in the L. saxatilis genome. This robust technique allows me to determine the developmental origin and genomic causes of the sperm length differentiation. The project further performs experimental mating trials to measure the effect of sperm length per se on fertilization success, addressing a rarely-tested, long-standing assumption that sperm morphological divergence translates into reproductive barriers. Finally, I will build a genetically explicit model of sperm length divergence and its role as a reproductive barrier between populations. This model will allow me to explore how female promiscuity and the genomic architecture of sperm traits impact the long-term evolutionary potential for sperm divergence to occur and be a reproductive barrier. Thus this ambitious project addresses sperm length evolution from several biological disciplines and perspectives, to address the long-standing question of the evolutionary causes and consequences of sperm morphological diversity. This project also provides me with valuable training that will increase my competitiveness as I apply for faculty positions or for positions as an analyst supporting policy-makers. Specifically, I will learn learn ‘-omics analysis, an important skillset in biology that I currently lack, and a new and powerful programming language useful for big data.

Keywords: speciation,post mating pre zygotic barriers,spermatozoa,transcriptomics,evolution