Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Cell-targeted Biophotonic Nanoparticles for Vision Restoration (NanoFlash)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: United Kingdom,Italy,Belgium,Switzerland
Call: EIC Pathfinder Open (HORIZON-EIC-2025-PATHFINDEROPEN, 2025)
Start date: 2026-05-01
End date: 2030-04-30
Duration (months): 48.0
Total project cost (EUR): 2999978.75
EU funding (EUR): 2999978.0
Participants: 4
Project status: SIGNED

NanoFlash aims to develop disruptive nano-enabled technology to restore damaged neuronal networks through precise stimulation of specific retinal cells. Focusing on non-genetic reactivation of physiological vision, NanoFlash targets treatment of retinitis pigments (RP) and age-related macular degeneration (AMD), both marked by severe retinal degradation and loss of high-resolution vision. Current retinal prostheses suffer from low resolution and indiscriminate activation of inner retina, while ontogenetic strategies targeting ON-bipolar cells (BCs) face significant limitation in efficacy and translational readiness. Circumventing these challenges, NanoFlash will engineer photovoltaic polymer nanoparticles (NPs) functionalist to target mGluR6 receptors, a unigue hallmark on PN-BCs. Using state-of-the-art modelling and bioelectronic in vitro platforms, the project will drive the rational design and optimisation of NPs, tailoring their size, architecture, spectral sensitivity, and transduction efficiency. Advanced organ-on-chip devices will be developed to screen and validate NP targeting and retinal reactivation performance in retinal organdies and explants. Lead NP candidates will then be tested in rod-cone degeneration rodent models, assessing targeting precision, suspension stability, and visual restoration outcomes. NanoFlash represents a major leap forward in retinal prosthetics by restoring the ON/OFF pathway segregation critical for spatial resolution, contrast sensitivity, and motion detection. This highly interdisciplinary effort will push the frontiers of bio-organic optoelectronics and neurophysiology, providing essential preclinical data toward therapies for currently incurable retinal diseases, addressing a pressing unmet medical need in the EU.

Keywords: photoactivable polymer nanoparticles,cell targeting,retinal organdies,retinal repair,in vivo retinal models,retinal prosthesis
The world’s first mobile 360o open access magnetic resonance imaging system (DeepSpin)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Our core mission is making MRI universally accessible. We want to democratize MRI and make its benefits available to anyone who needs it, evening out the inequalities in access to medical imaging globally. To achieve this, we are developing a novel, cost-effective MRI system that has the potential to disrupt the existing MRI market and enable applications that are impossible with the state-of-the-art MRI systems. At DeepSpin we are developing a 360°-access, open, portable, and cost-effective MRI system. Our focus is on interventional MRI (iMRI) given its novel capability to provide patient access during imaging and treatment. Our innovation is in both hardware and software, enabling MR imaging in non-homogeneous magnetic fields for the first time, tremendously simplifying the system's hardware. We achieve this by using AI in 2 core areas—in system design and in system operation. Using AI allows us to significantly reduce hardware requirements (i.e. on field homogeneity or strength), which in turn allows electromagnet-based designs that enable 20X lower cost and full mobility, while still achieving high image quality. Our first target is improving the prostate cancer care pathway, specifically MRI-guided biopsies to ensure timely and accurate lesion targeting and MRI-guided treatment to improve ablation accuracy. At a later stage, we aim to expand towards other urology use cases and beyond.

Keywords: mri,open access,3d,ai
"Ubiquitous eHealth Solution for Fracture Orthopaedic Rehabilitation" (ROBUST)

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: Information Science and Engineering
Countries involved: Portugal,Greece,Spain,United Kingdom
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 1072457.14
EU funding (EUR): 883200.0
Participants: 5
Project status: SIGNED

The population in Europe is living longer and healthier, and that is a great achievement. On the other hand, an ageing population raises major financial and social challenges. One in four (25%) persons living in Europe could be aged 65+ by 2050. The greater expectancy of life in Europe is posing serious challenges to healthcare, namely through the associated increasing incidence of various diseases, as well as health conditions, which the elderly are mostly prone. One of the latter conditions is bone fractures, which can typically occur as a consequence of osteoporosis. Furthermore, the consequences of associated complications in fracture recovering include further costs, not only for the patient but also for the European society in general. To address such growing issue, the multidisciplinary consortium of ROBUST takes this as a challenging use case for demonstrating the relevance and proficiency of smart mobile eHealth systems as innovative solutions to address surging issues in our ageing society. ROBUST targets developing a new concept and platform for remote monitoring of patients’ healing process, in the eHealth domain. An integrated mobile eHealth system will be devised exploiting recent advances in RF-based sensing technologies, which are being investigated in this consortium. The system will be able to respond promptly to dynamic and complex situations, while preserving control, safety and privacy, in a reliable and energy efficiency manner. The ROBUST system will include a fast feedback loop that dynamically processes sensing information to generate, accordingly, instructions to the patient, encompassing cognitive and learning capabilities as well. ROBUST is committed to create an exceptional network, which is multidisciplinary and intersectoral in nature, for staff exchange in the mobile eHealth field, namely targeting structure training and knowledge sharing towards enhancing the European innovation capacity in relevant eHealth systems and applications.

Keywords: healthcare,rf based sensing technologies,control,safety,privacy,energy efficiency
ARTIFICIAL INTELLIGENCE ENHANCED STRUCTURAL HEALTH MONITORING FOR EVALUATION OF TIME-DEPENDENT STRUCTURAL PERFORMANCE OF AGEING RAILWAY BRIDGES (AIESHM)

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: 2025-08-01
End date: 2027-07-31
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

The aim of the present proposal is to develop an innovative Artificial Intelligence Enhanced Structural Health Monitoring (AIESHM) for evaluation of time-dependent structural performance of ageing railway bridges. This includes a sustainability and resilient-based asset management framework, which leads to significantly reducing the CO2 emission. The proposed AIESHM system, is used to identify the damages in order to prevent the failure or temporary closure, which could lead to loss of lives and additional costs namely construction of new bridge, slow down transportation rate and heavy traffic. This monitoring system will be (a) cost-effective, timely and accurate, (b) detectable for various types of damages, (c) reducing the CO2 emission (d) implemented to a new sustainability and resilient-based asset management framework. The combination of updating finite element model (FEM), which involves calibrating the FEM parameters using the measured responses of a bridge, data extraction of sensors and visual inspection integrated with machine learning (ML) will help us to get different damages in the best time. Then they are implemented in a new asset management framework which helps to select the best repair/maintenance strategy by an improved decision making process so that the green house gas emission reduces. The FEM updating technique employs optimization algorithms to minimize the difference between the predicted and measured responses, resulting to enhance the accuracy of SHM. By training ML algorithms on data, this model can capture the complex behavior of bridges and identify damage states. Furthermore, the new approach will be capable to predict the time-dependent residual capacity under railway and seismic loading in order to make the best decision to use or repair the bridge.

Keywords: structural health monitoring,machine learning algorithms,digital image processing,vibration,finite element model,structural dynamics,sustainability and resilient based asset management
Transforming Education for Democracy through Aesthetic and Embodied Learning, Responsive Pedagogies and Democracy-as-becoming (AECED)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Democracy and Governance
Action type: Research and Innovation actions
Countries involved: Latvia,Croatia,Finland,Germany,Portugal,United Kingdom
Call: Education for democracy (HORIZON-CL2-2022-DEMOCRACY-01, 2022)
Start date: 2023-04-01
End date: 2026-03-31
Duration (months): 36.0
Total project cost (EUR): 2138281.25
EU funding (EUR): 2138281.25
Participants: 6
Project status: SIGNED

Democracy is a lived experience. To flourish, democracy needs healthy roots in people’s engaged feelings, awareness and sensibilities as embodied beings connected with each other and their localities, communities and the natural world. Democracy cannot be understood and enacted simply through cognitive learning or technical interactive skills. Yet, education for democracy gives little attention to nurturing those aesthetic, affective and embodied roots of democracy. This is because the learning theory on which most education for democracy is based omits a fundamental dimension of learning – that is, the aesthetic and embodied nature of learning. The ambition of this project is to remedy this omission. The project will: - design an innovative, evidence-based aesthetic and embodied pedagogical framework which has an impact on the practice of education for democracy through associated guides to practice (toolkits) that support responsive, participatory pedagogies - test, through participatory action research, a prototype of the framework and guides in differing phases of education and national contexts - refine the framework and guides - disseminate and activate exploitation of the pedagogical framework and guides by ‘trailblazer users’. The project’s scientific impact will be achieved through groundbreaking, transdisciplinary research that shows how aesthetic and embodied learning and responsive pedagogies for democracy facilitate new ways of ‘seeing’ and exploring self and others, enabling truly democratic relations and nurturing predispositions and capabilities for active democratic citizenship and deepening democracy. Societal impact will be achieved through new pedagogical approaches that engage learners’ and educators’ hearts as well as minds, increase capacity for democratic citizenship that connects and evolves locally, and strengthen affective predispositions for challenging social injustices, engaging with conflict and seeking mutual understanding.

Keywords: pedagogical innovation participation transformative learning
Towards tURbine Blade production with zero waste (TURBO)

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: Denmark,United Kingdom,Spain,Belgium,France,Germany
Call: Zero-defect manufacturing towards zero-waste (Made in Europe Partnership) (IA) (HORIZON-CL4-2021-TWIN-TRANSITION-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 9447038.2
EU funding (EUR): 6813734.0
Participants: 12
Project status: SIGNED

>10000 wind turbine blades (WTBs) were installed in Europe in 2019, and the largest are >100 m long. Yet the manufacturing methods have not changed significantly since the 1970s, with little or no NDT or in-line control, leading to high defect, repair and scrap rates. TURB0 will reduce defects and improve repair strategies in WTB composites and coatings. -Improved composite production processes: By using the latest simulation techniques to avoid defect formation and understand how defects affect structural integrity. -In-line NDT: Combining three cutting-edge NDT technologies (dielectric, wireless, sensor-less) for the first large scale in-line in situ composite production monitoring. -Sub-surface WTB coating inspection: Currently coatings only undergo visual surface inspection or destructive testing. TURB0 will combine ultrasound and mid-IR OCT for the most detailed coating assessment ever performed. -Digital twin and data warehouse: Production equipment, monitoring and in-line NDT data will be combined to establish a digital twin for real-time analysis of production. This has never been attempted for a large-scale composite part. It will populate a data warehouse accessible from multiple production sites. -In-line system control: Using the digital twin, a ML-based algorithm will provide closed-loop process control to minimise defect formation and waste and optimise process efficiency. -Automated repair strategy: The digital twin enables a ML analysis of defect severity in composites, with automated strategies to reduce repairs by 90 % and increase recycling of off-cuts. -Full-scale demo: A demo on a full size >80 m WTB section will be performed at the SGRE factory in Aalborg. -Quantified sustainability improvements: including life cycle analysis (LCA), social LCA and circular economy assessments to quantify environmental and socioeconomic benefits. -Dissemination and exploitation activity: includes a powerful Advisory Board, training, standards and business plan.

Keywords: composites manufacturing oct ultrasound digital twin in line control ndt wind turbine blades
Controllable Magnetic Cores for Transformers and Electrical Machines (SMARTMAG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Finland
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Ferromagnetic cores are used in transformers and electrical machines to allow producing a large magnetic flux with a small electric current. These cores have been traditionally designed for guiding a predefined magnetic flux to a predefined location, leaving them uninvolved with the actual control of the energy conversion process. As the consequence, there are millions of power and distribution transformers and variable-speed electrical motors in the EU alone whose performance, compactness and robustness are limited due to need of complex mechanical arrangements or excessive current and voltage requirements. SMARTMAG will advance the transition towards active and smart magnetics, where the magnetic cores themselves take a key role in controlling the magnitude and distribution of magnetic fields in transformers and electrical machines. Starting from the fundamental principles of varying the reluctance of ferromagnetic flux paths by direct current biasing and voltage-controlled magnetoelectric composites, we will demonstrate unprecedented methods for tuning three-phase transformers and synchronous motors during the operation, significantly improving their performance and simplifying their construction compared to existing solutions. We have identified four scientifically novel and industrially relevant target applications – two transformers and two electrical machines – whose conceptualization, design, manufacturing and validation form the overarching goal of the project. Our three objectives aim to push the relevant nonlinear and multiphysics material models beyond the state-of-the-art, implement them in customized numerical design tools for transformers and electrical machines and to validate the feasibility of the four concepts by working prototypes in laboratory conditions. As the result, new methods will arise for reducing outdated auxiliary devices and enabling new functionalities in power delivery as well as designing improved motors for electric drives.

Keywords: electrical machines,electrical steel sheets,finite element analysis,magnetic materials,magnetoelectric materials,high temperature superconductors,transformers
Modelling spin-phonon coupling in hybrid molecular/2D materials (SpinPhononHyb2D)

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: Chemistry
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 174574.96
EU funding (EUR): 174574.96
Participants: 1
Project status: CLOSED

Single Molecule Magnets (SMMs) that retain magnetisation in the absence of a magnetic field represent the smallest conceivable information storage devices. However, the interaction between spin and phonons, i.e. spin-phonon coupling, strongly limits their working temperature, hindering the realization in fully-functioning devices. Recent studies have shown that spin-phonon coupling can be mitigated by employing high symmetry and strong exchange coupling, but a clear rationale of how spin relaxation is affected by this chemical strategy is not yet fully understod. In this project we will employ state-of-the-art computational methods to unravel the physics of spin-phonon relaxation of one mononuclear pseudo D4h and one exchange coupled mixed valence Dy(III) complexes and show the way forward towards a rational design of high-temperature SMMs. We will develop a fully ab initio strategy to predict the role of vibrational modes on magnetisation relaxation with the ultimate goal of providing new design principles for potential SMMs with quenched spin-phonon coupling interaction. However, for the potential application of SMMs in the nearest future one need to study surfaces and their interactions with SMMs. Indeed, the pathway of SMM-based devices is made of numerous steps among which the adsorption on the surface is the first and crucial one. Previous studies indicated that the several high performances SMMs lose their magnetic characterictics upon adsorbtion to the surface. In this project, we will deposit the SMMs on the surfaces on the 2D materials such as graphene, FePS3 and CrSBr and will analyze the structure, magnetic properties and spin-phonon coupling of the adsorbed complexes. The excellent deformation capacity of the 2D materials results in potential application in low cost electronics. Finally the interplay of spin-phonon coupling between molecule and 2D materials will be unveiled as this will offer as route to the 'heaven' of molecular spintronics.

Keywords: smm,qtm,quantum computing,dft ab initio,spin phonon coupling,magnetic anisotropy,2d materials
Combinatorial neuromodulation of internal states (StateNeuromod)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1499563.0
EU funding (EUR): 1499563.0
Participants: 2
Project status: SIGNED

Being sleepy, hungry, afraid, or happy impacts our daily experience and defines our behavior and actions. Such internal states are characterized by unique signatures of activity across neural circuits and are actively shaped by neuromodulators, such as dopamine, serotonin, acetylcholine, and norepinephrine, that are released widely throughout the brain to alter the function of target neural circuits. At any moment, distinct combinations of neuromodulators are being released in each brain region. Changes in the neuromodulator balance have a powerful impact on the brain-wide configurations that underlie internal and behavioral states, while most mood disorders are associated with neuromodulator imbalance, and most therapeutic strategies attempt to restore this balance. However, how combinations of neuromodulators define distinct brain configurations and shape internal states remains unknown. The prefrontal cortex and the hippocampus are two interconnected regions, which are essential for cognitive processing and memory. They receive converging neuromodulatory inputs, and synaptic alterations in these regions are critical for learning, while dysfunction of this pathway is involved in most mood disorders. Despite the vital role of these circuits for brain function, little is known about how combinatorial neuromodulation regulates circuit configuration and coordinates information flow between these regions. In this project, we will combine neuromodulator monitoring with large-scale in vivo electrophysiology, optogenetics, and in vivo genome editing to answer the following questions and resolve the contribution of neuromodulators to the organization of neuronal ensembles and information gating in the hippocampus-prefrontal circuit in behaving mice. 1. What is the neuromodulatory landscape across behavioral states? 2. How does state-specific neuromodulation sculpt neuronal dynamics? 3. What are the circuit elements underlying combinatorial neuromodulatory action?

Keywords: neuromodulators,prefrontal cortex,hippocampus,sleep,memory consolidation,learning and memory,behavior,dopamine,serotonin,norepinephrine,acetylcholine