Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Better rEal-world healTh-daTa distributEd analytics Research platform (BETTER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Unlocking the full potential of new tools, technologies and digital solutions for a healthy society
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Netherlands,Spain,Serbia,Israel,United Kingdom,Norway
Call: Better integration and use of health-related real-world and research data, including genomics, for improved clinical outcomes (HORIZON-HLTH-2023-TOOL-05, 2023)
Start date: 2023-12-01
End date: 2027-05-31
Duration (months): 42.0
Total project cost (EUR): 9553530.0
EU funding (EUR): 9553530.0
Participants: 16
Project status: SIGNED

In recent years, data-driven medicine has gained increasing importance in terms of diagnosis, treatment, and research due to the exponential growth of healthcare data. The linkage of cross-border health data from various sources, including genomics, and analysis via innovative approaches based on artificial intelligence (AI) will enable a better understanding of risk factors, causes, and the development of optimal treatment in different disease areas. Nevertheless, the reuse of patient data is often limited to datasets available at a single medical centre. The main reasons why health data is not shared across institutional borders rely on ethical, legal, and privacy aspects and rules. Therefore, in order to (1) enable health data sharing across national borders, (2) fully comply with present GDPR privacy guidelines / regulations and (3) innovate by pushing research beyond the state of the art, BETTER proposes a robust decentralised privacy-preserving infrastructure which will empower researchers, innovators and healthcare professionals to exploit the full potential of larger sets of multi-source health data via tailored made AI tools useful to compare, integrate, and analyse in a secure, cost-effective fashion; with the very final aim of supporting the improvement of citizen’s health outcomes. In detail, this interdisciplinary project proposes the co-creation of 3 clinical use cases involving 7 medical centres located in the EU and beyond, where sensitive patient data, including genomics, are made available and analysed in a GDPR-compliant mechanism via a Distributed Analytics (DA) paradigm called the Personal Health Train (PHT). The main principle of the PHT is that the analytical task is brought to the data provider (medical centre) and the data instances remain in their original location. In this project, two mature implementations of the PHT (PADME and Vantage6) already validated in real-world scenarios will be fused together to build the BETTER platform.

Keywords: distributed analytics,federated learning,elsa,fairification,cross border data processing,paediatric intellectual disability,inherited retinal dystrophies,autism spectrum disorders
Grammar learning across languages (GLAL)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-12-01
End date: 2026-11-30
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

Children learn how subjects, objects, and verbs combine into sentences irrespective of the language. The cognitive mechanisms underlying this incredible flexibility, however, are still poorly understood. Current theories suggest that pattern tracking and cognitive biases underlie grammar learning, but fail to account for the full breadth of grammatical diversity. In this project, I will set aside common theories and assumptions, and use a data-driven approach to investigate the mechanisms for grammar learning by sampling a diverse set of twenty languages. From this larger, representative perspective, I will re-characterize the roles of (1) pattern tracking and (2) cognitive biases to advance theory, and synthesize my findings into (3) a database to facilitate cross-linguistic research. I leverage cutting-edge technological advances in natural language processing and online experimentation to provide a window into the early flexibility of human cognition.

Keywords: language acquisition,developmental cognition,grammar,cross linguistic,computational modelling
Enhancing the Risk Stratification of Severe Arboviral diseases using host-response Biomarkers in Brazil. (RISE-ARBB)

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: Spain,Brazil,Switzerland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2028-11-30
Duration (months): 39.0
Total project cost (EUR): 333204.36
EU funding (EUR): 333204.36
Participants: 4
Project status: SIGNED

Arboviruses such as dengue, Zika, and chikungunya, are experiencing a rapid surge in incidence and geographical distribution, representing a global public health threat. Improved risk assessment tools for arboviral diseases are urgently needed to enhance clinical management, since current risk stratification is based on algorithms with limited prognostic accuracy. Strong evidence suggests that immune and endothelial activation markers can reliably identify infections likely to progress to severe outcomes; however, data on specific arboviruses are scarce and conflicting. The main aim of RISE-ARBB is to enhance early identification of severe arboviral diseases. The specific objectives are to: (1) evaluate head-to-head a wide panel of host-response biomarkers for early identification of severe arboviral diseases, using a large prospective cohort study and Luminex platform; (2) assess the prognostic performance of two novel point-of-care rapid triaging tests based on the quantification of sTREM1 and Angpt2 markers; (3) develop an evidence-based algorithm integrating the best performing marker(s) with clinical severity indicators to improve clinical guidelines; and (4) develop an exploitation strategy, including regulatory and go-to-market plan. Such objectives will be addressed through a prospective cohort study involving ~2,000 individuals over 1 year-old presenting with symptomatic arbovirus infection at emergency departments of 3 hospitals in Brazil, the global epicenter of arbovirus epidemics. The results have the ground-breaking potential to avoid preventable deaths and decrease health system costs during future arbovirus outbreaks and epidemics globally. This fellowship will enable me to upgrade my training in translational research on arboviral diseases in endemic settings and prognostic strategies for their management, while establishing a global network and laying the foundation for a successful ERC application and independent academic career.

Keywords: arbovirus epidemics host response biomarkers prognostic strategies risk stratification novel point of care tests brazil
Surface ion imprinted nano-fibre Bragg grating for detection of multiple heavy metal ions (Clean-Water)

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: 2026-02-01
End date: 2028-01-31
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

Heavy metal (HM) pollution is one of the most serious environmental problems undermining global sustainability. Presence of HM in water further contaminates soil, enters food cycle, and finally accumulates in brains, kidneys, livers, and stomach, undermining human health. There is a market gap in low-cost on-line HM sensor, and this is needed to measure HM in-situ on-demand to reduce, mitigate or control environment contamination. Hence, an innovative solution is required to exploit the advantages of optical fibre sensors (OFS), in developing a compact, cost effective, fast, robust, and portable sensor for the accurate detection of several HM ions, simultaneously. In this project, besides the key focus of training the Researcher, the innovative potential of multiplexing OFS will be additionally combined with an enhanced light-matter interaction in tapered nano optical fibre (NOF) to increase its sensitivity and thus create a new generation of OFS to detect multiple HM ions simultaneously. Subsequently, wavelength selective grating will be inscribed on the NFBG along with Au film coated to enhance sensitivity. Additionally, graphene oxide (GO), and ion imprinted polymer-chitosan (IIP-CS) will be coated, which will not only improve the selectivity, but the added polymer will also strengthen the NFBG. In this project, the Researcher will numerically optimize the structural parameters and study the effect of fabrication tolerances of the OFS by using the finite element method. Subsequently, optimised OFS will be fabricated by a using laser induced grating fabrication technique and the Au/GO/(Pb2+, Cu2+, and Cr2+)/IP-CS will be coated on 3 concatenated sections of the NFBG surface by using dip coating method for simultaneous detection of Pb, Cu and Cr. The project aims to exploit multiplexing capability of OFS, which will use only a single interrogator and thus produce a cost-effective, sensitive, fast and on-line HM ions to provide safe water and safer environment.

Keywords: ion imprinting,heavy metals,optical fiber sensors,environmental contamination,plasmonics,graphene
A transfer of knowledge and technology for investigating gender-based inappropriate social interactions in the Metaverse (META-TOO)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Panel: Information Science and Engineering
Countries involved: Greece,France,Spain
Call: Twinning Bottom-Up (HORIZON-WIDERA-2023-ACCESS-02, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 1499789.85
EU funding (EUR): 1499789.85
Participants: 3
Project status: SIGNED

The META-TOO proposal underscores the knowledge and skills transfer from two distinguished European institutions, INRIA and IDIBAPS, each renowned for its research contributions in the digital forefront, to the National and Kapodistrian University of Athens (NKUA), Greece, serving as the coordinating institution representing a Widening country (Greece). Specifically, both INRIA (The French National Institute for Research in Computer Science and Automation) and IDIBAPS (Fundació de Recerca Clínic Barcelona in Spain) have earned global recognition for their outstanding contributions to Extended Reality (XR) research. It is precisely within this domain that we have elected to focus the support of INRIA and IDIBAPS (henceforth called “mentors”) for the National and Kapodistrian University of Athens (“coordinator”), with a concerted effort aimed at reinforcing research management and administrative competencies, alongside enhancing research and innovation capabilities.

Keywords: research on metaverse,twinning actions,knowledge transfer
Characterisation and Identification of Cell Engulfment Receptors on cDC1s. (CICERO_cDC1)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

The engulfment of dead cells by type 1 conventional dendritic cells (cDC1s) is essential to maintain tolerance to self-antigens and to induce immunity to infected or malignant cells. cDC1s have the unique ability to engulf dead cells, in contrast to the closely related cDC2s. Moreover, uptake of apoptotic cells induces cDC1 maturation and serves as their key source of antigens. However, we still do not understand which receptors on cDC1s are involved in the recognition and internalisation of dead cell corpses and whether these receptors differ depending on the type of cell death (e.g. apoptosis vs necrosis) that led to corpse formation. Remarkably, our preliminary data indicates that cDC1s, unlike macrophages, 1) do not express many of the classical or canonical engulfment receptors, 2) they tend to nibble pieces from dead cells and 3) are able to ingest parts of live cells. Hence, in the proposed work, I aim to characterise live, apoptotic and necrotic cell engulfment by cDC1s and its phosphatidylserine-dependency using novel reagents and state-of-the-art instrumentation such as high-resolution live cell microscopy. Furthermore, I will use a validated CRISPR-editing protocol and establish a CRISPR screen with both primary and immortalized cDC1 cell lines to discover which receptors on cDC1s are necessary for the engulfment of live, apoptotic and/or necrotic cells. Lastly, I will interrogate in vivo the role of key cDC1-dependent phagocytic receptors in a tumour and tolerance model using novel markers for DC maturation that I identified during my PhD. Altogether, the work in this proposal will elucidate a long-standing question in the DC and phagocytosis field, contribute to our knowledge on how cDC1s mediate anti-tumour immunity and tolerance, and may open new strategies to improve anti-tumour immunity and tolerance to self.

Keywords: dendritic cells dc activation cell engulfment engulfment receptors crispr screen anti tumour immunity tolerance
PALEOclimate modelling of Small Islands in the Mediterranean and possible impacts on arthropod habitats (PALEOSIM)

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: Malta,France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-08-01
End date: 2025-01-31
Duration (months): 30.0
Total project cost (EUR): 219628.4
EU funding (EUR): 219628.4
Participants: 3
Project status: CLOSED

PALEOSIM (PALEOclimate modelling of Small Islands in the Mediterranean and possible impacts on arthropod habitats) focuses on the climate and Land-Use Change (LUC) impacts on arthropod habitats of small islands using a Regional Climate Model (RCM). Arthropods play vital roles in the ecosystem (e.g., pollinators, decomposers, and others), and thus can act as indictors of ecosystem integrity. Recently, the anthropogenic impact on ecosystems, through climate change and LUC, has been devastating, especially in vulnerable regions such as the Mediterranean Basin and its numerous small islands. Advances in RCMs have resulted in extensive climate studies of the region at 12.5 km resolution; however, this is a coarse resolution for many small islands. The introduction of Convection Permitting (CP) RCM simulations allows models to resolve islands such as the Circum-Sicilian (including the Maltese) Islands (CSI), and hence study variations in arthropod habitats induced by climate change. PALEOSIM is a multidisciplinary investigation of the climate and associated arthropod habitats in the CSI. For the first time, the RegCM can combine the CP and Paleoclimate modes to produce 2 km resolution simulations between 21000BCE and 2100CE. This span of time is characterised by slow climate and geomorphological variation in the beginning, and rapid anthropogenic climate change and LUC at the end. The paleoclimate simulations will shed light on the role humanity has played in the ecological destabilisation of many of these small islands. This investigation will improve our understanding of past climate changes on the CSI, and showcase the potential of small islands RCM simulations. The project will provide new insight into the expected habitat changes arthropods may experience in the future, and help mitigate the destruction of these fragile ecosystems.

Keywords: arthropod habitats arthropod adaptation regional climate modelling convective permitting regional paleoclimate modelling climate proxy
Decoding hidden Structural Variants in unsolved Rare Genomic Diseases (DETECT-SV-RD)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: SIGNED

Rare Genomic Diseases (RGDs) affect >200 million individuals globally, however less than half of patients receive a molecular diagnosis, forcing millions into year-long diagnostic odysseys, and limiting the possibilities for personalized care. New studies suggest that forms of DNA mutation affecting many base pairs of at once, so-called 'Structural Variations' (SVs) and 'Short Tandem Repeats' (STRs) may play a dominant role in the biological underpinnings of many undiagnosed RGDs. The DETECT-SV-RD project will utilise one of the largest-to-date RD-patient datasets, containing >1,400 genomes obtained by latest long-read sequencing and optical genome mapping technologies, to identify the full spectrum of SVs and better understand their impact on disease formation. To achieve this, a new computational workflow for detecting SVs will be developed, which will have a special focus on mutations that occur in the most complex, repeat-rich regions of the human genome. Using these technological advances, SVs and STRs will be identified across all patients, and carefully characterized in terms of their rarity, the properties of their breakpoints and likely biological formation mechanisms. Lastly, these insights will be combined with orthogonal 'omics' and phenotypic data to gain new insights into the underlying biology of rare diseases. In collaboration with the diagnostic department at Radboudumc, new genetic tests for SVs and STRs will finally be implemented to improve patient care. The project will, for the first time, assess the effect of SVs and STRs even in complex genomic regions comprehensively and provide an estimate for their involvement in the formation of RDs in general, as well as likely a better understanding of previously undiagnosed RDs. The project will thus contribute to improving the rate of correct RD diagnoses in the future, providing substantial emotional and physical relief to affected patients and their families.

Keywords: genome mutation,structural variation,segmental duplications,long read sequencing,optical genome mapping
INferring Glacier mEteorology through phySical modeling and remoTe sensing (INGEST)

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: Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 214344.72
EU funding (EUR): 214344.72
Participants: 1
Project status: SIGNED

Glaciers are vital for ecosystem stability, water availability, and food security for downstream communities, but are rapidly shrinking due to global warming. Accurate meteorological data are crucial for understanding glacier response to climate change, but remain sparse due to limited in-situ observations. This project aims to develop a unified method to determine long-term glacier meteorology and assess its impact on glacier change. Using the Tethys-Chloris physical model combined with remote sensing data (glacier albedo and surface temperature), I will develop a model inversion approach to determine air temperature, precipitation and incoming shortwave radiation, and test its feasibility on 16 benchmark glaciers covering the main global climatic settings. The project will explore meteorological changes over the past 30 years and project glacier evolution in the 21st century, providing a global perspective on glacier responses to climate warming. My background in remote sensing and large-scale spatiotemporal analysis, combined with this project, will enhance my skills in glacier modeling and deepen my knowledge in glacier processes. Dr. Francesca Pellicciotti, a world-leading expert in glacier processes and their hydrological significance through numerical modeling, will provide invaluable support throughout this project. This project will offer unique insights into both historical and future glacier responses to climate warming and pave a way for regional or global glacier meteorology research. It will also serve as an excellent opportunity for me to become an independent interdisciplinary researcher in glaciology, remote sensing, and atmospheric science.

Keywords: glacier meteorology,era5 land,mento carlo simulation,glacier modeling
Physical degradation model-based feedback control design for efficient EV battery BMS integration (PHYBATT)

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: Belgium,Australia
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-02-01
End date: 2027-01-31
Duration (months): 24.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 3
Project status: SIGNED

PHYBATT covers the development of algorithms and models to be embedded in the BMS to allow the battery to operate within the safety boundaries at any time and in each battery operating mode. The models to be developed and embedded in BMS algorithms can be applied in real-time battery control for various applications, such as (fast) charging, peak shaving in the grid and ancillary services with energy storage, leading to an improved techno-economical offering. This adds a Vehicle to Grid (V2G) mode corresponding to many support situations.

Keywords: battery management system bms,physical degradation model,v2x