Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
End-to-end multidisciplinary optimal design for improved personalized bioactive glass/ceramic bone substitute implants (REBONE)

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: Italy,Belgium,Austria,Serbia,Poland,Slovenia,Finland,France
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 2725620.6
EU funding (EUR): 2512687.8
Participants: 15
Project status: SIGNED

The musculoskeletal system is extremely vulnerable to ageing and traumatic events, and common clinical conditions often exert a high burden on the clinical system. For patients requiring bone-substitute implants to treat critical-size bone defects, new solutions are required for meeting important unmet needs: personalised solutions for better clinical outcomes; improvements in materials to ensure higher mechanical reliability without compromising bioactive and bioresorbable properties; optimised manufacturing technologies for materials and products of high reliability and quality. REBONE is a four-year doctoral network that aims to innovatively train a new generation of researchers to develop a multidisciplinary optimisation process to provide technologies for 3D-printed personalised bone replacement implants based on bioactive ceramics. The ultimate scientific goal is to construct a platform of computational tools that will enable clinical experts to produce customized bone graft substitutes for the treatment of critical-size bone defects. This innovation will ensure that an ideal treatment solution is found on a patient-specific basis in terms of: i) mechanical and mechano-biological performance, ii) surgical implantability, and iii) manufacturing process reliability. Furthermore REBONE will develop state-of-the-art in silico models based on advanced computational methods and advanced characterisation and validation techniques to obtain personalised implants with a surgical planning visualization system in mixed reality with the following characteristics: i) tailored and reliable mechanical and physical properties; ii) best osteointegration capability; iii) targeted mechanical, physical and mechano-biological functions with patient-specific constraints taking into account the load-bearing anatomical location. Four selected clinical cases will be used as demonstrators of the optimization design and manufacturing process.

Keywords: biomechanics,bone mechanics,additive manufacturing,bone scaffolds
Resilience Estimation to SET management goals in marine ecosystems (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: Environment and Geosciences
Countries involved: Italy,France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-06-01
End date: 2024-10-31
Duration (months): 29.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 3
Project status: CLOSED

In the Anthropocene, global and local cumulative human pressures are heavily impacting ecosystems and threatening societies. Maintaining resilience, i.e. avoiding irrevocable system changes, is the only way to maintain the critical services that an ecosystem provides, and should be an objective of management. Recently, resilience has been deeply studied theoretically sparking interest in the whole scientific community. However, its integration into management practices is still rare due to methodological limitations. Standardised and applicable methods to estimate resilience empirically in natural systems are lacking. RESET will develop a framework to concretely estimate resilience in marine ecosystems and integrate it into management. The framework will be built on high-quality and innovative statistical methods and on the Local Ecological Knowledge (LEK) of fishers. The work will be carried out in Chioggia, a city hosting a major Mediterranean fishery and a perfect location where Universities, research institutes, fishers and management bodies have a long story of collaborations. Using long-term time series of the Northern Adriatic Sea, an ecosystem hotspot of global changes and human pressures in the Mediterranean Sea, RESET will apply a three-step modelling approach to estimate resilience. The knowledge deriving from the modelling approach will be complemented with the LEK of fishers synthesised through structured interviews and participatory meetings. The inclusion of fishers in the process will favour a more proactive management approach. Finally, RESET will readily transfer the new methodologies and knowledge into management by cooperating with ISPRA, the Italian Public Body responsible for the application of the Marine Strategy Framework Directive, the ecosystem-based management approach of the EU. The realisation of these three objectives will favor the integration of different approaches which is fundamental in order to sustainably exploit our resources.

Keywords: resilience,temporal and spatial regime shifts,marine ecosystems and populations,local ecological knowledge,tipping points,marine management
Naming the world: Semantic associations and form-meaning mappings in the mental lexicon across sign languages (SemaSign)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-02-01
End date: 2029-01-31
Duration (months): 60.0
Total project cost (EUR): 1490840.0
EU funding (EUR): 1490840.0
Participants: 1
Project status: SIGNED

Words in sign languages are rich in visual meaning. They contain shapes, movements, relations in space, etc. that depict objects and actions as symbolic metaphors; e.g., the action of pulling words out of the head in one language means ‘to ponder’. Yet, signs are also encoded into units of form that are articulated in simultaneous constructions, unlike sequences of consonants and vowels in spoken words. How, then, do signers store richly symbolic words that occur in highly simultaneous forms in their mental lexicons? At present, insight into these mental mappings remains highly occluded, not only at the level of behavioral and neural phenomena, but in terms of linguistic analysis as well. What, indeed, is morphology in sign languages when even the smallest units of form—like hooked fingers or a location at the throat—can carry meaning? What is the nature of these units? Do they vary across sign languages or are the iconic roots of form-meaning mappings so powerful that the same ones re-occur across unrelated sign languages? Answering these questions is urgently needed to create better sign language resources for teaching and learning, and to advance language technologies. The SemaSign project proposes a ground-breaking approach to these questions by locating form-meaning correspondences in sign languages through computational means while creating new empirically-robust datasets to reveal how signs are organized in the mental lexicon. Semantic networks are created for sign languages from Germany, Kenya, and Guinea Bissau on the basis of word association responses in which a signer sees a sign from their language and responds with the first three signs that come to mind. This will establish an objective measure of semantic relatedness, enabling computational means to locate clusters of signs unusually close in both form and meaning. As the language in Guinea Bissau was formed only 15 years ago, we will also discover how lexicons emerge and grow at a very early stage

Keywords: word associations,sign language,mental lexicon,emerging languages,lexical semantics,network science,morphology,cross linguistic,phonology,entropy,phonesthemes,sound symbolism
Flexible Sensors for portable Magnetomyography: Envisaging innovation and Unveiling opportunities (FlexiMMG)

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: Germany,Switzerland,Italy
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): 189687.36
EU funding (EUR): 189687.36
Participants: 3
Project status: SIGNED

Flexible magnetoelectronic is a new and yet-to-be-explored path for future biomagnetic sensing especially to detect the ultra-low human magnetic field using magnetic field sensors. Most of the recent approaches have been framed using magnetoresistive (MR)- sensors, benefiting their fascinating applications, especially in the field of biomagnetism and advanced health monitoring systems, and unveiling several prospective and applicative domains. In this perspective, flexible MR sensing technology emerges as a new horizon in skin sensorics for recording and imaging various human electrophysiological phenomena such as magnetocardiography (MCG), magnetomyography (MMG), and magnetoencephalography (MEG). Despite its promising futuristic applicability in biomagnetism and healthcare monitoring system, this sensing technology manifests several technical challenges, which limits its versatile functionality, and needs to be addressed properly for the development of NEXT-GEN healthcare technology and biomedical or biomimetic devices. In this proposed research, we intend to study the magnetic manifestation of human muscle activity, coined as MMG using an ultrathin flexible planar Hall-effect (PHE) sensor, which has not been explored or tested before. We aim to develop an efficient flexible sensing technology that enables us to detect a few pico-Tesla (pT)/ femto-Tesla (fT) signals at room temperature and demonstrates a feasible approach to reinvigorating the MMG technique. The proposed research directives also address the most awaited state-of-the-art sensing solutions to overcome the existing technical limitations in myograph recording. Moreover, this sensing technology offers qualitatively miniatured, flexible, and implantable futuristic MMG sensing devices and paves the way towards full-fledged on-skin touchless biocompatible interactive human-machine interfaces. In the next stage, we aim to extend this research for challenging MEG applications.

Keywords: flexible magnetic sensors,magnetomyography,planar hall effect,noise analysis
Training Future Big Data Experts for Europe (FutureData4EU)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Italy,Germany,Lithuania,Canada,United Kingdom,Belgium,Spain,Denmark
Call: MSCA COFUND 2022 (HORIZON-MSCA-2022-COFUND-01, 2022)
Start date: 2023-11-01
End date: 2028-10-31
Duration (months): 60.0
Total project cost (EUR): 5342400.0
EU funding (EUR): 5342400.0
Participants: 38
Project status: SIGNED

Big-data management through high-performance computing is nowadays considered as the richness of the new knowledge economy, providing unprecedented opportunities in several R&I and applicative domains, from climate change to health, from mobility to cultural heritage, from digital change in production systems to new materials and financial analysis. In Italy, 70% of the national computing and storage capacity is set in the Emilia-Romagna Region, making it an authentic Data Valley. While supercomputing infrastructures are a pre-requisite for European competitiveness, data-driven R&I needs qualified experts in datascience and big-data application in relevant societal/industrial domains. In this context, the University of Bologna in partnership with the other 5 universities located in the region, with the support of the Regional Authority and involving the relevant stakeholders, is proposing FutureData4EU, to train the data-science experts of tomorrow through an interdisciplinary, international and cross-sectoral approach. FutureData4EU builds on existing PhD courses will offer a pioneering combination of training in research and transversal skills in the multi- and trans-disciplinary field of Big-Data, through the enabling technologies and the Thematic Areas representing the Horizon Europe Clusters (1. Health; 2. Culture, Creativity and Inclusive Society; 3. Civil Security for Society; 4. Digital, Industry and Space; 5. Climate, Energy and Mobility; 6. Food, Bioeconomy, Natural Resources, Agriculture and Environment).

Keywords: big data,hpc technologies,machine learning and deep learning,advanced computing and bigdata,big data management and analysis,transversal skills,transdisciplinary training,intersectoral secondme
Next-generation colorectal cancer microecosystems for the discovery of microbiome-driven immunotherapies in personalized settings (NEXT-CRC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1497500.0
EU funding (EUR): 1497500.0
Participants: 2
Project status: SIGNED

Colorectal cancer (CRC) ranks among the most prevalent and lethal malignancies globally. However, efforts to translate CRC research findings into clinical advancements have been hampered by inadequate in vitro systems. Even the current gold standard organoid models remain severely limited as they lack the topobiological complexity required to fully capture CRC pathobiology ex vivo. Among other factors, their unsuitability to properly model the multifaceted interactions between CRC and its tumor microenvironment (TME) is particularly limiting, especially since the TME has emerged as an essential element to tumor biology. Crucially, while the TME is being successfully exploited for immunotherapy in many cancers, these therapies remain ineffective in more than 90% of CRC patients. Among the different components of the TME, the colon microbiota is particularly interesting for CRC tumor immunity as in vivo evidence indicates that it can regulate inflammation, modulate immune cell activity, and alter responses to immune checkpoint inhibitors. However, whether anti-tumor immunity can be enhanced through targeted microbiomal-based therapies in CRC patients not responsive to immunotherapy has not been approachable in vitro due to the lack of suitable models. Building upon our expertise in microfluidics, tissue engineering, cell biology, and multiomic technologies, we aim to develop a groundbreaking ex vivo platform capable of integrating complex lymphoid and microbiomal microenvironments in patient-specific tissue-engineered miniature colons. This TME-oriented cancer model will reconstruct functional interactions among diverse components of the TME with unparalleled pathophysiological intricacy. It will be primarily used to shed light on the cancer–microbiota–immune axis, aiming to discover opportunities to harness microbiomal components for improving anti-cancer immunity in CRC. We envision that this project will pave the way towards personalized oncology approaches.

Keywords: colorectal cancer,tumoroids,organ on chip,tumor microenvironment
Trustworthy and Resilient Decentralised Intelligence for Edge Systems (TaRDIS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Portugal,Denmark,Switzerland,Serbia,Greece,Spain,United Kingdom
Call: Programming tools for decentralised intelligence and swarms (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2026-03-31
Duration (months): 39.0
Total project cost (EUR): 6252358.75
EU funding (EUR): 6252358.75
Participants: 13
Project status: SIGNED

Developing and managing distributed systems is a complex task requiring expertise across multiple domains. This complexity considerably increases in swarm systems, which are highly dynamic and heterogeneous and require decentralised solutions that adapt to highly dynamic system conditions. The project TaRDIS focuses on supporting the correct and efficient development of applications for swarms and decentralised distributed systems, by combining a novel programming paradigm with a toolbox for supporting the development and executing of applications. TaRDIS proposes a language-independent event-driven programming paradigm that exposes, through an event-based interface, distribution abstractions and powerful decentralised machine learning primitives. The programming environment will assist in building correct systems by taking advantage of behavioural types to automatically analyse the component's interactions to ensure correctness-by-design of their applications, taking into account application invariants and the properties of the target execution environment. TaRDIS underlying distributed middleware will provide essential services, including data management and decentralised machine learning components. The middleware will hide the heterogeneity and address the dynamicity of the distributed execution environment by orchestrating and adapting the execution of different application components across devices in an autonomic and intelligent way. TaRDIS results will be integrated in a development environment, and also as standalone tools, both of which can be used for developing applications for swarm systems. The project results will be validated in the context of four different use cases provided by high impact industrial partners that range from swarms of satellites, decentralised dynamic marketplaces, decentralised machine learning solutions for personal-assistant applications, and the distributed control process of a smart factory.

Keywords: heterogeneous swarms programming model for heterogeneous swarms correct by design development environment decentralised intelligence decentralised data management and distributed runtime
Small molecule heparanase inhibitors as anti-metastatic cancer drugs (HEPARANIB)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-06-01
End date: 2024-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The Heparanib Proof-of-Concept project aims to establish the feasibility of our unique small molecule heparanase inhibitors as drug candidates for the treatment of metastatic cancers. To strengthen our science case (experimental development A) and by building on our in vivo data in mouse models for metastatic breast cancer, lung cancer and multiple myeloma, we will (A-I) design a suitable route of synthesis to prepare sufficient quantities of clinical grade material; (A-II) synthesise reference compounds; and (A-III) perform initial pharmacokinetics/pharmacodynamics (PK/PD) studies. With the aim to prepare for the establishment of a spin-out biotech company (business development B) to take our leads towards the clinic we will (B-IV) strengthen our intellectual property (IP) position; (B-V) perform an extensive analysis of the anti-metastatic cancer drug market; and (B-VI) prepare for commercialisation by consolidating the results in an investor-ready business plan to develop and commercialise our anticancer drug candidate.
Scaling and P-M-F (PMF BDS)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Austria
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 14.0
Total project cost (EUR): 1925000.0
EU funding (EUR): 1925000.0
Participants: 1
Project status: SIGNED

Brantner Digital Solutions GmbH is revolutionizing waste management through innovative AI-powered solutions that focus on bio-waste contamination. As a spin-off from a leading waste management group, Brantner leverages its unique access to real-world waste streams and expert knowledge, enabling the development of a proprietary AI dataset with over 18.4 million images. This dataset, combined with state-of-the-art AI architectures like Yolo and Faster R-CNN, provides highly accurate real-time analysis of bio-waste, identifying contaminants such as plastics, metals, and glass. The core product, the Bio-Contaminant Scanner, operates directly on waste collection trucks, utilizing a custom Machine Learning pipeline that automates image capture, annotation, and AI model training. By detecting impurities during waste collection, the system allows for immediate insights into waste composition, optimizing resource allocation and improving the quality of compost produced. The system’s real-time capabilities—achieved with less than a two-second delay—help waste management companies meet regulatory compliance, reduce operational costs, and increase sorting efficiency. Brantner’s AI is continuously refined through collaboration with biological experts and regular testing of new AI models to ensure top performance tailored to each customer. Additionally, the company’s international presence in five European countries and its strategy for geographical expansion into new markets further strengthens its position. With a focus on gender diversity, expertise development, and strategic partnerships, Brantner is well-equipped to scale its AI-driven waste management solutions globally, contributing to a more sustainable and efficient circular economy.

Keywords: ai,waste management,tech startup