Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Clinical validation of NANO-PL: a hydrogel-based formulation of a small molecule for a highly targeted therapy against Glioblastoma Multiforme (GBM) (nPL4GBM)

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: Portugal
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2024-11-01
End date: 2026-10-31
Duration (months): 24.0
Total project cost (EUR): 3800691.25
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Glioblastoma (GBM) is considered the highest unmet need in oncology. The average life expectancy of GBM patients is 12-18 months, and the 5-year survival rates remain below 7%. Despite the efforts, the available therapy today counts only with a few (ineffective) approved therapies. Using a machine learning algorithm, we have discovered a correlation between a small molecule and an unexplored target in GBM. We have developed a hydrogel-based formulation of the molecule with great safety and efficacy in vivo. Our formulation showed 40% long-term survival in a GBM rat model, with complete tumour eradication after a single dose treatment. NANO-PL is a one-time treatment, applied locally during surgery, which is effective even in GBM cells that are resistant to the standard of care or those involved in recurrence. NANO-PL also showed a synergistic efficacy with temozolomide, standard-of-care. The EIC will enable the clinical validation of NANO-PL, completely unlocking the GBM treatment.

Keywords: glioblastoma,clinical validation,orphan drug,rare disease,brain cancer,biomaterials,piperlongumine
Social-Ecological Analysis and Models for Digital Twin Ocean (SEADITO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Ocean, seas and waters
Destination: Ocean, seas and waters
Action type: Research and Innovation actions
Countries involved: Denmark,Finland,Norway,Latvia,Germany,Spain,Greece,Croatia
Call: Integration of socio-ecological models into the Digital Twin Ocean (HORIZON-MISS-2023-OCEAN-01, 2023)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 3467338.75
EU funding (EUR): 3467338.75
Participants: 15
Project status: SIGNED

The EU Mission ‘Restore our Ocean and Waters’ (Mission Ocean) aims at protecting and restoring the health of our ocean and waters through research and innovation, citizen engagement, and blue investments by 2030. The creation of the European Digital Twin Ocean (EU DTO) supports this mission as well as the key initiative of the European Commission, Destination Earth (DestinE), aiming at developing a highly accurate digital model of the Earth on a global scale to be able to monitor, simulate, and predict the interaction between natural phenomena and human activities. Addressing the Horizon Europe call HORIZON-MISS-2023-OCEAN-01-8, SEADITO focuses on the need for a targeted set of analytical methods and tools to support the development of the EU DTO including integrating social-ecological models in order to establish a comprehensive decision support platform. SEADITO aims at increasing transdisciplinary abilities of social-ecological models by updating and integrating them for improved Ecosystem-based Management, and a set of case studies in the Baltic Sea, the North Sea and the Mediterranean as well a Pan-European case study will provide the contexts for the multi-actor processes identifying user needs, as well as co-designing and testing components and services in the targeted user communities. The results will include sets of interoperable, spatial explicit, and DTO compliant social-ecological decision-support components based on FAIR principles (e.g. to be integrated with EDITO-Model Lab), as well as scalable and multi-level social-ecological models, integrated quantitative and qualitative social-ecological indicators, and workflows quantifying and integrating cultural and behavioural aspects. The components will be tested through an interactive spatial platform, the SEADITO Explorer equipped with visual demonstrators of social-ecological models and a Scenario Toolkit (WIST). Learning materials will target young researchers, decision-makers, and the public.
6G-DALI: 6G DAta and ML operations automation via an end-to-end AI framework (6G-DALI)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Research and Innovation actions
Partnership: SNS (JU-JTI)
Countries involved: Greece,Ireland,France,Belgium,Spain,Italy,Netherlands
Call: Reliable AI for 6G Communications Systems and Services (HORIZON-JU-SNS-2024, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 6223736.25
EU funding (EUR): 5826453.13
Participants: 14
Project status: SIGNED

One of the key enablers of 6G is undoubtedly the Native support of AI/ML at all the system levels, components, and mechanisms, from the orchestration and management levels to the low-level optimization of the infrastructure resources, including Cloud, Edge, RAN, Core Network, as well as a transport network. Despite the opportunities, there are several gaps that hinder the adoption of AI/ML in 6G, such as the lack of extensive and high-quality datasets that are required to train the models. On the other hand, AI model testing and performance evaluation in a representative staging environment (by emulation or real deployment) is also challenging without access to an end-to-end 6G testbed or representative Digital Twin environment. To this end, 6G-DALI aims to deliver an end-to-end AI framework for 6G, structured in two interdependent pillars, (1) AI experimentation as a service via MLOps and (2) Data and analytics collection and storage via DataOps. The 6G-DALI DataOps pillar provides the mechanisms for preparing clean and processed data that are stored within a 6G Dataspace and are made available for training and validating machine learning models as a service, a part of the MLOps Pillar. The end-to-end framework also delivers continuous monitoring, drift detection and retraining of models. Finally, 6G-DALI will deliver open datasets, a 6G Dataspace for dataset storage and secure sharing, and a Digital Twin testbed for data generation on demand.

Keywords: mlops,dataops,dataspace,dt,native ai,gaia x,trustworthy ai,generative ai
Complex Regional Economic Systems in Sustainable Energy Transition: Theory, Models, Empirics, and Policies for Southern Europe (reSET)

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: Economic Sciences
Countries involved: Portugal,France,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 156778.56
EU funding (EUR): 156778.56
Participants: 3
Project status: SIGNED

Against the backdrop of a looming global environmental crisis, a sustainable energy transition driven by public and private finance and innovation paves the way for the emergence of novel technologies, industries, value chains, consumption patterns, etc., under a techno-economic paradigm that promises to lead to a ‘great surge of development’ decoupled from environmental harm. The diffusion and adoption of this new paradigm, however, seems to be too sluggish to avert ecological collapse, uncertain in view of geopolitical conflict and the impending energy crisis, and highly uneven in time and space due to core-periphery disparities. In Europe, this paradigm shift presents opportunities but also major challenges for peripheral regions, which necessitate more radical industrial strategies. This highly topical project will investigate from a theoretical, empirical and normative perspective the energy transition dynamics of Southern European regions, their institutional, technological and economic determinants, their economic and environmental impacts, and the policies needed for enabling these regions to forge their techno-industrial niches in the emerging value chains and to achieve green growth. The project will combine Schumpeterian, post-Keynesian and ecological economic theories under a ‘systemic’ research programme, and produce a cutting-edge formal model of a complex economic system embedded in the environment and undergoing energy transition. At the empirical level, it will employ advanced statistical and computational methods to test for the impacts of green technologies and to simulate alternative transition scenarios. At the normative level, it will frame the EU and national policy discourses on the European Industrial Strategy, Recovery Plan and Green Deal with evidence-based insights on industrial policy. The project is designed to boost the researcher’s career evolution and to consolidate his expertise and research skills through high-quality training.

Keywords: sustainable energy transition techno economic paradigm shift complex economic system eco innovation ecological economic decoupling green growth core periphery divide industrial policy
Structured Interactive Perception and Learning for Holistic Robotic Embodied Intelligence (SIREN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 1499738.0
EU funding (EUR): 1499738.0
Participants: 1
Project status: SIGNED

Robot learning has made remarkable strides thanks to high-capacity neural models and extensive datasets. However, there are persisting research questions concerning large-scale robot learning models: are massive architectures and data needed for achieving robotic embodied intelligence to solve tasks intuitive to humans? And how can we make substantial progress toward robust and adaptive robot learning systems to operate in the dynamic real world? I posit that these open problems stem from overlooking the underlying principles and structure that govern the intricate robot-environment interaction and evolution. SIREN addresses these pressing issues by proposing a unique systemic view of robot learning through the holistic representation of robot and environment as an integrated system. To achieve this, we will unveil key properties of the action-perception cycle for developing embodied intelligence by studying the intertwined flow of information and energy within the components of the holistic system. For that, we propose a framework that pioneers information-driven and physics-aware objectives that encompass the learning from embodied multisensorial streams of a modular graph representation of the robot-environment system and its dynamics, backed by the versatility of graph neural networks, allowing for modular uncertainty estimation to promote robustness. Eventually, we will yield resilient dynamics for training uncertainty-aware, composable skills to adapt to new tasks. SIREN's breakthroughs will enable robots, like humanoid mobile manipulators, to merge in unstructured, human-like settings and perform challenging tasks that require smooth and efficient perception-action coordination, balancing generalization and robustness in the face of inevitable real-world uncertainties. Our paradigm shift opens avenues for future groundbreaking research rooted in SIREN's impacts toward continuous robot learning systems that are integrated and evolve with their environment.

Keywords: robot learning,multisensory perception,graph neural networks,mobile manipulation
Identifying defects in ZnO@ZnS core-shell nanostructures using ultra-high-field NMR, NQR and DNP (IDEA)

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: France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 3
Project status: SIGNED

Semiconductor nanocrystals, also known as quantum dots (QDs), are promising materials for a wide range of applications, including optoelectronics (display devices), optical bioimaging, solar cells and photocatalysis. Nevertheless, many QDs, such as CdS, contain toxic elements. ZnO or ZnS are environmental-friendly alternatives but their use is limited by their wide band gap, which prevents the absorption of visible light. Heterostructures made of ZnO core with ZnS shell (ZnO@ZnS) represent a promising solution to reduce the band gap. They can be prepared by sulfidation of ZnO nanocrystals. Nevertheless, mastering their design requires to control their defects, and notably the O and S vacancies, which are assumed to facilitate the exchange of O2− and S2− anions during sulfidation reaction. The IDEA project aims at determining the structure and the concentration of defects in ZnO@ZnS heterostructures through the development of advanced solid-state NMR experiments. Since the isotopes found in Zn(O,S) nanocrystals (17O, 67Zn and 33S) are extremely challenging to detect by NMR (quadrupolar nuclei with low gyromagnetic ratio and low natural abundance), we will develop innovative solid-state NMR methods relying on ultra-high-field NMR (up to 28 T), dynamic nuclear polarization (DNP), low-temperature (down to 30 K), and spin labelling strategies. The obtained NMR data for ZnO@ZnS heterostructures in combination with DFT calculations will provide unique information on the structure of their defects (vacancies, O/S substitution), their amount and distribution between the core and surface regions. These novel insights will be crucial to optimize the optoelectronic properties of these quantum dots in a rational way. Furthermore, this project will equip with unique research and outstanding competences, which will lay the foundation of my future career as a highly qualified scientist capable of starting an independent career.

Keywords: semiconducting nanocrystals,solid state nmr,quantum dots,high magnetic fields,dnp,nqr,dft,defects
Dark energy Analysis for W and Next-generation Surveys (DAWNS)

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: Physics
Countries involved: United Kingdom
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): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Type Ia Supernovae (SNe Ia) remain unparalleled probes of astronomical distances and provide crucial constraints when measuring the properties of dark energy. But recent cosmological analyses with SNe Ia have pushed the boundaries of our physical understanding of these standardisable candles. The largest source of cosmological systematic uncertainty for SNe Ia is the impact of astrophysical effects from both extrinsic host galaxy properties (such as dust content) and the intrinsic effects of the SN. Without better understanding how SNe Ia interact with, and are co-dependent on, their host environment, the key cosmology programs of future surveys, such as the legacy survey of space and time (LSST) from the Rubin Observatory, will not reach their goals. My MCSA Fellowship will make use of a new high-quality sample of 3,000 SNe Ia and their hosts taken from the Zwicky Transient Facility (ZTF) and the internationally-recognised expertise of the host, the University of Southampton. I will use this as a basis to better understand SNe Ia for use in cosmology and in astrophysics. I will create a catalogue of the host galaxies with high-quality measurements across the electromagnetic spectrum, providing global and local measurements of galaxy properties to probe how they impact SNe Ia. Then, I will use integral field spectroscopy of local SN hosts to provide hyper-local measurements at the site of the SN Ia explosion, augmenting the statistics of the host galaxy catalogue with in-depth measurements. These two work packages will then be combined to assess the impact of these host galaxy effects on cosmology, determining which galaxy evolution processes drive the observed correlations of SN Ia brightness, and the ideal tracer to use for the high-statistics cosmology analyses of Rubin/LSST. This final work package will also shed light on how SNe Ia may be used as a probabilistic tracer for host galaxy evolution, providing a new and independent tool for use in astronomy.

Keywords: type ia supernovae distance measurement
A unique commercially viable recombinant manufacturing platform for human fibrinogen (rhFib) & thrombin (rhThr (RECOFIB)

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: Netherlands
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-04-01
End date: 2023-12-31
Duration (months): 21.0
Total project cost (EUR): 4495826.25
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

We have developed the RECOFIB platform, a market first recombinant production platform for human fibrinogen (rhFib) & thrombin (rhThr). Using Chinese Hamster Ovary Cells (CHO) expression technology & patented upstream purification processes, we are the first producer of fully intact & functional recombinant fibrinogen and active thrombin at commercially acceptable cost ending reliance on blood plasma. Our RECOFIB platform can produce individual fibrinogen variants whose specific functional properties can now be fully harnessed-a breakthrough discovery. From these individual variants, we can develop customized products for [1] bioactive topical hemostats to stop excessive bleeding during surgery; [2] medical implant coating reducing antibiotic resistance of MRSA bacterial biofilms and [3] supply of rhFib variants & rhThr as OEM products. Additional benefits of our rhFib variants compared to plasma fibrinogen include more stability, 10–100X higher purity, and improved safety profile.

Keywords: fibrinogen,plasma proteins,recombinant therapeutic proteins,surgery,fibrin sealant,fibrinogen oem product,plasma derived fibrinogen,bioimplant coating,haemostat,recombinant thrombin,recombinant fibrinogen,thrombin,bacterial biofilms,recombinant production
New Micro-extrusion Advanced Technology for plant-based whole-cut meat substitutes (NewMEAT)

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: Spain
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 2658178.75
EU funding (EUR): 1860725.0
Participants: 1
Project status: CLOSED

Due to the current overpopulation, climate change and aggressive animal farming problems, there is an urgent need for the next generation of alternative proteins meat. Based on tissue engineering, food science and 3D printing, NOVAMEAT has developed a micro-extrusion process that can bio-hack the native 3D network structure of molecules of plant origin creating the microstructure and anisotropic morphology like that of traditional animal meat in a cost-efficient and highly scalable manner. NOVAMEAT´s advanced and unique technology. The results are pieces of whole-cuts meat composed of a patent-pending formulation of a natural-origin wide range of different vegetable proteins, fibres, oils, and aromas that enable NewMEAT to achieve multiple varieties of nutritional, flavour and texturization profiles as animal whole-cut meats. NewMEAT does not contain soy but is composed of sustainable ingredients with much lower environmental impact, to support resilient agriculture and animal welfare.

Keywords: bioproducts products that are manufactured using,environmental and green technologies,industrial bioengineering,bioprocessing technologies industrial processes r,food technology,bioeconomy,plant based meat
Signatures of cosmic rays and new fundamental particles in the Very high energy sky (VerSi)

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: Physics
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-12-01
End date: 2024-11-30
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: CLOSED

Are there new fundamental particles and interactions Beyond the Standard Model of particle physics (BSM)? The most fascinating open questions in our current understanding of Nature support a positive answer. For example, the dark matter in our universe could be explained by new fundamental particles weakly coupled to the SM. Similarly, the unexplained Charge-Parity symmetry violation in strong interactions can be solved by introducing a new light particle, the axion. Some recent, intriguing anomalies in cosmic radiation have thrilled the community as potential evidence for new physics BSM. My project will shed new light on them by exploiting forthcoming observations of the very high energy sky with innovative techniques. A long-standing excess of gamma-rays at GeV energies is measured towards the Galactic Center (GCE), and could be the very first signature of particle dark matter in our Galaxy. Cosmic ray accelerators could also explain the signal, but numerous modeling uncertainties prevent to firmly assess their contribution to the excess. I will use gamma rays at TeV energies to robustly characterise the TeV halos of cosmic ray accelerators and their contribution to the GCE, thus closing on the dark matter properties compatible with it. Besides, these sources will serve as an unique laboratory to constrain cosmic ray acceleration and propagation in the interstellar medium. This work will be instrumental to deeply investigate a new, promising signatures of photon-axion interactions, that is the modulation of the gamma-ray spectrum of Galactic cosmic ray accelerators. By exploiting the unprecedented energy resolution of forthcoming gamma-ray data at very high energy, I will search for axion-like-particle signatures in a yet unexplored parameter space. At LAPTh I will have access to the crucial expertise needed to successfully carry out the designed project, which will strategically complement my current research profile to flourish as a senior researcher.

Keywords: astroparticle physics,particle phenomenology,beyond standard model,axion like particles,gamma ray astrophysics