Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Assessing Causal Relationships of Oscillatory Neural Activity Mediating Speech (ACRONAM-Speech)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 2
Project status: CLOSED

Neural oscillations, rhythmic fluctuations in the excitability of neuronal populations, align their phase to the rhythm of speech and this mechanism, called phase entrainment, has been associated with successful perception of connected speech. However, a causal role of phase entrainment for speech comprehension has not yet been shown which leaves the underlying mechanisms unclear, and fails to specify the relevance of neural oscillations for hearing or language impaired individuals. In the proposed research, we will use a novel brain stimulation technique, transcranial alternating current stimulation (tACS) to selectively alter neural oscillations. By manipulating neural phase entrainment to speech with tACS we can, for the first time, provide decisive evidence concerning whether phase entrainment and speech comprehension are causally linked: If a modulation of phase entrainment leads to changes in speech perception and comprehension we can conclude that the former causally influences the latter. In a preliminary experiment, combining tACS with functional magnetic imaging (fMRI), we will determine the optimal tACS electrode montage to modulate neural activity in speech-specific brain regions (in the superior temporal gyrus). Using this setup in a behavioural task, tACS can be applied at different phase-lags in relation to rhythmic speech sequences. Critically, we expect perception of these stimuli to depend on the phase relation between tACS and speech rhythm, as a consequence of the manipulation of phase entrainment by tACS. Our study will thus provide important and novel evidence for a causal role of phase entrainment for speech perception and comprehension. In turn this might suggest new methods for enhancing speech perception in populations with hearing or language impairment.

Keywords: brain stimulation,neural oscillations,phase entrainment,speech,comprehension,transcranial alternating current stimulation,tacs
Next-generation in vivo models for improved pancreatic cancer therapies (PanCaT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2016-02-01
End date: 2021-12-31
Duration (months): 71.0
Total project cost (EUR): 2440275.0
EU funding (EUR): 2440275.0
Participants: 1
Project status: CLOSED

Maintenance and drug resistance of pancreatic ductal adenocarcioma (PDAC) depends on cancer cell intrinsic mechanisms and a stroma that supports tumor growth. Mouse models of human PDAC have provided important insights into the evolution of this highly lethal tumor, but there are no models that allow secondary genetic manipulation of autochthonous tumors, the tumor microenvironment or the metastatic host niche once the tumor has formed. We generated an inducible dual-recombinase system by combining Flp/frt and Cre/loxP. This novel PDAC model permits spatial and temporal control of gene expression enabling unbiased genetic approaches to study the role of tumor cell-autonomous and non-autonomous functions in endogenous cancers. This tool provides unparalleled access to the native biology of cancer cells and their hosting stroma, and rigorous genetic validation of candidate therapeutic targets. We performed tumor cell-autonomous and non-autonomous targeting, uncovered hallmarks of human multistep carcinogenesis, validated genetic tumor therapy, and showed that mast cells in the tumor microenvironment, which had been thought to be key oncogenic players, are in fact dispensable for tumor formation. In the proposed research program, we will 1) develop and further improve next-generation PDAC models, 2) deploy these systems to identify and target key features of PDAC maintenance in tumor cells and their microenvironment, and 3) discover mechanisms of treatment resistance. The application of cutting edge genetic engineering and screening technologies will allow us to address biological questions that could not be addressed before. The PanCaT project will open new horizons for the functional understanding of pancreatic cancer biology with a strong impact on clinical management and prognosis of PDAC patients. It will also produce a unique set of highly versatile and widely applicable genetic tools that will facilitate the study of PDAC at an organismal level.

Keywords: genetically engineered mouse models,loxp system,transposon mutagenesis,gene targeting,tumor progression and maintenance,3 phosphoinositide dependent protein kinase,pdpk1 pdk1,kras signaling
Metal Organic Frameworks for Hydrogen production by photocatalytic overall water splitting (MOF2H2)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: France,Spain,Israel,Netherlands,Greece
Call: Next generation of renewable energy technologies (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-11-01
End date: 2026-04-30
Duration (months): 42.0
Total project cost (EUR): 3238666.24
EU funding (EUR): 3238666.24
Participants: 11
Project status: SIGNED

The decarbonation of several sectors (energy, transport, carbon intensive industries like steel or ammonia) is depending on the availability of low carbon hydrogen. However, current hydrogen production processes are mostly carbonated, and existing decarbonated processes suffer from several disadvantages (high costs, issues for coupling with intermittent electricity, etc.). The MOF2H2 project positions itself as a game changer to produce hydrogen from water through a more sustainable process: photocatalytic overall water splitting using non-noble materials. Built upon a breakthrough discovery made by ESPCI and UPV recently patented, MOF2H2 aims to develop a world-record efficiency for sun-driven clean hydrogen production reaching 5% solar-to-hydrogen efficiency, using metal organic framework (MOF) as photocatalysts. To this end, MOF2H2 will gather 11 partners (and affiliated entities) for 42 months, including some of the best researchers in the world in their fields, for demonstrating three lab-scale photocatalysis prototypes with fine-tuned materials dedicated to hydrogen production, hence reaching TRL4. After having a clear vision of overall specifications through WP1, a first-generation MOF will be synthetised and optimised through metal nanoparticles co-deposition in WP2, also guided by modelling and advanced characterisation from WP3. To reach even higher efficiencies, a refined MOF will be produced in WP4 following metal/ligand substitution. The MOF synthesis will be optimised and upscaled under sustainable and economically viable conditions in WP5, and followed by MOFs integration in a lab-scale demonstrator, for showing the reliability of their operation at lab-scale and their long-term performance. A complete sustainability and an economic potential assessment will be conducted in WP6. Through a tailored dissemination and communication strategy elaborated in WP7, the project is expected to have a high impact on both the academic and industrial sectors.

Keywords: metal organic frameworks mofs,overall water splitting,photocatalysis,hydrogen production
Neutrophil Extracellular Traps Induced Glial Type I Interferon in the Pathogenesis of Tauopathy (TNT)

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: France
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): 242260.56
EU funding (EUR): 242260.56
Participants: 2
Project status: SIGNED

Tauopathies, including Alzheimer’s Disease (AD), characterized by the brain accumulation of abnormal Tau proteins, represent a significant unmet medical need. Neuroinflammation is a hallmark of these diseases. Although several neuroimmune regulations, notably involving microglia, have been largely studied recently, the role of neutrophils and the release of neutrophil extracellular traps (NETs) has been overlooked. The TNT project will fill the gap as aimed to (1) characterize the temporal dynamics of neutrophil and NETs involvement vs. Tauopathy progression and (2) evaluate the functional impact of NETs and type I interferon (IFN-I) on disease pathogenesis. Using a combination of approaches, including Tauopathy and Tau seeding models together with post-mortem tissue of patients with primary Tauopathy, the TNT project will advance our understanding of the complex interplay between NETs, glial and Tau pathology, potentially leading to novel therapeutic strategies. The project will study the influence of the biological sex on these mechanisms and assess their therapeutic potential. The host institute provides a robust platform for bidirectional knowledge exchange, with expertise in Tau transgenic and seeding models, 3D glial cell reconstitution, and inflammasome-Tau pathology, significantly enhancing our research on glial cell changes. My expertise in neuroimmunology and neutrophil biology, will be instrumental in advancing ongoing projects at the host lab. The planned training will enhance my research skills while fostering independence, mentorship, and communication abilities, preparing me for leadership. Engaging in mentorship activities and workshops will equip me with skills to guide and inspire junior researchers, and enhance my ability to communicate complex concepts to diverse audiences. This development will position me as a young leader in neurodegenerative diseases, ready to make significant contributions to scientific advancement and knowledge transfer.

Keywords: tauopathies,microglia,type i interferon ifn i,neuroimmune,neuroinflammation
AI:Liner - Data-driven sewer asset management: a path toward the resilient transformation of Europe's sewer infrastructure (AI-Liner)

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: Research and Innovation actions
Countries involved: Germany,France,Netherlands,United Kingdom,Spain,Italy,Portugal,Switzerland,Japan,Ukraine,Bulgaria
Call: Enhanced assessment, intervention and repair of civil engineering infrastructure (RIA) (HORIZON-CL4-2024-TWIN-TRANSITION-01-TWO-STAGE, 2024)
Start date: 2025-09-01
End date: 2028-08-31
Duration (months): 36.0
Total project cost (EUR): 6647951.72
EU funding (EUR): 5960288.91
Participants: 21
Project status: SIGNED

AI:Liner will enhance the asset management life cycle of sewer networks by designing, developing and validating a suite of cutting-edge technological and digital solutions. The project delivers a modular and interoperable end-to-end asset management tool chain that optimizes planning, operations, maintenance, investment, and reduces costs and risks of unexpected failures. It leverages the momentum of European utilities' digitalization efforts, building on the increasing availability of CCTV inspection data, AI-based fault detection, and recent advances in in-situ monitoring techniques to support the climate-neutral and resilient transformation of Europe's sewer infrastructure. AI:Liner empowers utilities and municipalities to identify intervention needs, enabling strategic decisions on when and where to inspect and rehabilitate sewers with the most appropriate technology, ultimately promoting the adoption of repair and rehabilitation techniques over the traditional excavation required for renewal. AI:Liner promotes the acceptance, trustworthiness and accountability of data-driven solutions, fostering a culture of trust, transparency and responsible use of data among European utilities and municipalities. By bringing together an interdisciplinary consortium that leverages expertise in infrastructure management, digitalization, and social sciences and humanities, AI:Liner enhances the digital skills of the utility workforce and integrates AI ethical principles at the core of technology development, ensuring the sustainable, responsible, and unbiased use of AI. AI:Liner strives to accelerate the digital and green transitions of the water and infrastructure sector, aiding European utilities in delivering high-quality services, maintaining affordable costs, and preserving infrastructure for future generations.

Keywords: sewer infrastructure,inspection,advanced repair methods,digital transformation,predictive maintenance,trustworthy ai
The magic filter for CO2. Cost-efficient CO2 capture with ultrathin nanoporous GRAPHENE MEMBRANES (Meloon)

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

Berlin-based Meloon GmbH is a technology company transforming the way industrial separations are performed today. Harnessing the superlative properties of graphene’s wonder material, Meloon is developing a novel membrane technology to deliver unprecedented efficiency and performance to purify gas molecules. Pioneering molecular membranes, Meloon’s ultrathin graphene membrane provides high CO2 permeability, exceptional selectivity over other N2, O2, CH4 gases and long-term stability suitable for carbon capture at any industrial combustion process that generates flue gases. Current carbon capture technologies are energy-hungry because they rely on cleaning combustion gases with chemical solvents. With Meloon’s membrane, the gas molecules are separated from each other with a nano porous material. The uniqueness of the membrane lies in its composite design and multifunctional graphene oxide layers, optimizing performance while ensuring durability and scalability.

Keywords: carbon capture,graphene
iO:Wave - NEXT-GENERATION LABEL FREE CANCER DIAGNOSTICS (iO-Wave)

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): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

PreciPoint’s vision is to support a faster and even more precise medical analysis of diseases like cancer. Therefore, we invented the multimodal diagnostic system “iO:Wave” to optimize intraoperative frozen section diagnostics and the routine pathology workflow as a whole. By 2050, new cancer cases are expected to increase by 77% to around 35 million globally. Among the various types of cancer, breast, colon and pancreatic cancer are the most common and deadliest. The economic impact is substantial, with the financial burden of cancer exceeding €100 billion annually in Europe alone. Addressing this challenge is a priority, and despite advancements in personalized therapies, many screening tests are limited to a few cancer types, making timely and accurate diagnosis crucial for effective treatment. Here, pathologists and lab technicians play a vital role in cancer diagnosis, essential for successful patient outcomes. Our breakthrough innovation “iO:Wave” has the potential to reduce through-put-time in sample preparation, free up personnel resources and save material costs in the long run, with up to 3 million € of potential savings in a pathology lab within 5 years. iO:Wave offers a holistic approach by integrating state-of-the-art laser and imaging technologies with AI-based algorithms for virtual staining. This innovative method, based on Label-free diagnostics (LFD), transitions scientific discoveries from research to clinical settings, simplifying and streamlining current workflows. Our system advances the current technological status quo on the market. This is why, it has garnered significant interest, attracting research partners for co-development and future purchase once it is market ready.

Keywords: pathology,cancer,histopathology,multi photon microscopy,label free diagnostics,biomedical research,virtual staining,ai in pathology
C-PAL Tech: A Circular Pallet to Transform the World (C-PAL)

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

Ocean Material® is a pioneering company addressing global environmental challenges through innovative and sustainable material solutions. Our project, C-PAL, introduces a circular logistics pallet made from low-value mixed plastics (LVMP) and waste fibers. This innovation addresses deforestation, plastic pollution, and CO2 emissions by converting economically non-viable plastics, such as multilayer and contaminated plastics, into durable, lightweight and cost-effective pallets. Supported by a strong team and international partnerships, we developed a patented (filed) technology to process LVMP into versatile honeycomb panels, providing a sustainable alternative to wooden pallets. C-PAL integrates 100% recycled materials and operates within a fully circular lifecycle, setting new standards for sustainability and economic efficiency. The logistics and packaging industry, especially wooden pallets, faces immense pressure to balance cost-effectiveness, performance, and sustainability. With annual production reaching 5.1 billion wooden pallets and rising concerns over deforestation and plastic waste, solutions like C-PAL are urgently needed. Aligned with EU environmental policies, the Circular Economy Action Plan, and UN Sustainable Development Goals, we seek EIC Accelerator funding to scale operations, achieve TRL 8 and 9, and penetrate the market. This funding will establish a state-of-the-art production facility in Hamburg, develop efficient supply chains, refine reverse logistics systems, and launch a licensing model. By transforming waste into valuable resources, Ocean Material® addresses critical environmental issues and creates substantial economic opportunities. Together with the EIC, we can lead a global transition towards a circular economy, fostering a greener and more sustainable future. Your support is crucial to realizing this transformative vision.

Keywords: circular economy,sustainable materials,low value mixed plastics,recycling innovation,logistics solutions,eco friendly pallets,co2 reduction,deforestation prevention,patented technology
INTEGRATED OBSERVATION, MONITORING AND PREDICTION ARCHITECTURE FOR FUNCTIONAL BIODIVERSITY OF COASTAL SEAS (DiverSea)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Research and Innovation actions
Countries involved: Norway,Denmark,Belgium,Italy,Portugal,Spain,Türkiye,Bulgaria,Greece,Sweden,Ghana,United States,Ukraine
Call: Observing and mapping biodiversity and ecosystems, with particular focus on coastal and marine ecosystems (HORIZON-CL6-2022-BIODIV-01, 2022)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 9688013.92
EU funding (EUR): 9688013.92
Participants: 19
Project status: SIGNED

DiverSea develops novel marine observation and monitoring technology by combining: 1a) The new DNA-based identification approach “DNA-marks”: This approach will harnesses low coverage/cost genomic data to document genetic diversity and discriminate beyond species, to the population and individual level. This opens revolutionary possibilities, both for environmental samples (eDNA) and for monitoring species key biological parameters beyond simple identification, and, 1b) The experimentation required to quantify uncertainties in marine eDNA/eRNA interpretation, while developing general indictor methods with novel approaches harnessing new approaches and theory on mechanisms of molecular shedding and degradation; 2) emerging molecular techniques and approaches integrated with autonomous systems satellite remote sensing, citizen science, existing monitoring program data collection and, covering EOVs/EBVs, for comprehensive mapping of important marine habitats; 3) A novel data integration processing and interrogation AI-ML architecture that processes incoming biological, physical and biogeochemical data from diverse data platforms and from case studies in (2). The analysis module overarching framework will combine EOVs/EBVs for spatial and temporal biodiversity prediction, gap analysis identifying urgent data needs and investigating causal links/feedbacks between abiotic cycles, multiple stressors, biodiversity dynamics and biogeochemical cycles 5) An interactive platform to communicate the scientific outcomes of DiverSea to policy makers, stakeholders and the general public, the “Biodiversity Services Dashboard”. The dashboard visualizes key environmental and socio-economic indicators with quantified scenarios for societal and functional biodiversity interaction, connections of biodiversity to ecosystem functions and services. This will facilitate evaluating and comparing policy and planning alternatives considering the requirements of different target stakeholders.

Keywords: remote sensing,artificial intelligence and machine learning,robotics,environmental nucleic acids