Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Revitalisation of Linguistic Diversity and Cultural Heritage (LocalLing)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Estonia,Spain,Greece,Tunisia,Benin,Togo,Morocco,Cameroon,Romania,Sri Lanka,Senegal,Colombia,France
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 931860.0
EU funding (EUR): 931860.0
Participants: 14
Project status: SIGNED

The overarching objective of this Staff Exchanges programme is to establish an international, interdisciplinary network of organisations collaborating on a joint research initiative spanning linguistics, cultural studies, education, politics, and social sciences to promote the use, maintenance, teaching, and learning of local minority heritage languages (LHLs). The participants will exchange skills and knowledge to foster interdisciplinary collaborative research across countries and sectors, both within and beyond the EU. As such, the LocalLing project is built on four key pillars: use and maintenance of LHL, teaching and learning LHL, methodology for LHL, and research development and support. These pillars ensure a comprehensive approach that integrates both theoretical and applied perspectives, fostering sustainable LHL practices across different sectors.
Development of functional fish feed based on bioactive compounds of marine and herbal origin. (FEEDACTIV)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Romania,Greece,Italy
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 1708571.43
EU funding (EUR): 1444400.0
Participants: 8
Project status: SIGNED

FEEDACTIV focuses on the development of innovative aquaculture feed based on natural bioactive compounds that boost the immune system of farmed fish. Various species of marine microalgae as well as seaweed and land based herbal plants are going to be used as enrichment of the fish feed and hopefully as partial fishmeal substitution with low cost ingredients. The use of natural compounds, polyunsaturated fatty acids (ω-3, ω-6 and ω-7), phenols, carotenoids and protein from marine and land based flora, aims to improve the breeding and quality of farmed species while drastically reducing the annual cost of the aquaculture companies by focusing on the processes that boost the immune system of the fish. The production of these functional products will cover the consumers’ demands for the consumption of foods with increased functionality and absence of any chemical additives giving them the following comparative advantage over the competition. The overarching objective of this project is to form an international and inter-sectoral network of organizations working on a joint research programme in the fields of aquaculture and feed formulation. Therefore, FEEDACTIV will bring together experts from industry and academia that specialize in interdisciplinary/inter-sectorial, yet highly complementally, research areas of Aquaculture, Animal Feed Production, Feed/Food safety, Process Analysis and Design of food products. It is a joint research and innovation project that will develop a strong partnership involving 8 partners from 3 European countries (Romania, Greece, and Italy) and with different technical backgrounds from the academic and non-academic sectors (SMEs). The execution of the project and the knowledge sharing will be based on secondments (exchanges) of research and innovation staff with an in-built return mechanism strengthening collaborative research among the different countries and sectors.

Keywords: sustainable aquaculture,resource efficiency,bioactive compounds from natural sources,boost of farmed fish immune system,encapsulation
CHerenkov Light mOdulE for time-of-flight Positron Emission Tomography (CHLOE-PET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 1384755.0
EU funding (EUR): 1384755.0
Participants: 1
Project status: SIGNED

Time-of-flight positron emission tomography (TOF-PET) is the standard-of-care in cancer detection. TOF-PET scanners’ performance is dependent on the radiation detectors they use. Improving time and spatial detection features in such detectors will dramatically impact the diagnostic capacity of TOF-PET systems. The goal of this project is to build a gamma detector concept for TOF-PET able to improve the time resolution and spatial segmentation of state-of-the-art detectors by a factor of up to 7 and 10, respectively, without additional production costs. CHLOE-PET is a forward-looking gamma detector design for TOF-PET able to exploit the new photodetector technologies that are currently under development and will become available within the next 5-to-10 years. The novelty of the proposed design lies in using Cherenkov light as a prompt time source, using an innovative geometry optimized to maximize light collection, and employing photodetectors with small pixel pitch. This project is the first attempt to build a detector module scalable to a full-size system that can be used in a hospital setting. The CHLOE-PET detector will consist of bismuth germanate (BGO) crystals with 12 mm thickness and will combine the readout of scintillation and Cherenkov light. CHLOE-PET will provide an effective 3D segmentation of 2x2x2 mm3, an intrinsic photon time spread of 20 ps, and no intrinsic radiation background (unlike state-of-the-art TOF-PET detectors). Such improvements will allow increasing the signal-to-noise ratio of images by >2-fold, to be able to detect lesions of 2 mm size (>3 times the current performance), to build portable high-performance organ-dedicated TOF-PET systems, and to universalize the use of dynamic TOF-PET studies. The combination of these outcomes will provide significantly better diagnostic capabilities in a range of fields such as oncology, neurology, or cardiology, among others, and ultimately boost treatment efficacy and patient comfort.

Keywords: nuclear medicine time of flight positron emission tomography tof pet gamma ray detector scintillation crystal detector
Re-cleaneable SERS devices for Personalised Health and Environmental sensing (ReSERS)

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: United Kingdom
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-06-01
End date: 2026-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

We have invented an optical enhancement technique based on surface-enhanced Raman scattering (SERS) using self-assembled gold nanostructures that can fingerprint a wide range of bioanalytes (neurotransmitters, hormones) at clinical concentrations in biofluids. Current SERS substrates suffer from poor repeatability, fouling from organics, and non-reusability, which is why they have not made it into biomedical use. We have developed a new capability to create precision nano-gap materials that trap light to generate ultra-reliable billion-fold detection enhancements, while also allowing repeated recleaning. This makes low-cost SERS sensing a viable technology capable of translation, potentially with deployment below €1k and sub-1¢ per test.
HEAL-4WARD - doctoral network for Wound infection Advanced care and Rapid Diagnosis (HEAL-4WARD)

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: Chemistry
Countries involved: Italy,Spain,United Kingdom,Ireland,France,Netherlands,Greece,Sweden
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-03-01
End date: 2030-02-28
Duration (months): 48.0
Total project cost (EUR): 3304008.36
EU funding (EUR): 3304008.36
Participants: 17
Project status: SIGNED

The HEAL-4WARD doctoral network aims to train 11 Doctoral Candidates (DCs) across Europe to tackle the critical challenge of wound infections. By integrating cutting-edge nanomaterials, non-invasive label-free detection technologies, innovative additive manufacturing (3D-printing) and Artificial Intelligence models, we will prototype smart wound patches for personalized infection care and diagnosis. Our focus is on developing on-demand antimicrobial strategies that minimize antimicrobial resistance risks, coupled with advanced label-free diagnostics and imaging capabilities. This initiative brings together an academic and industrial multidisciplinary consortium of experts in (nano)material science, chemistry, additive manufacturing, biomedical engineering, molecular biology, microbiology, and clinical practice. Our goal is to translate and combine innovative technologies from the laboratory to prototype to clinical settings, enhancing patient outcomes and reducing the burden of infections on healthcare systems. DCs will receive comprehensive training across these different and cross-section fields, training them with skills and knowledge to tackle antimicrobial resistance in wound healing and at the same time to create groundbreaking solutions that position Europe at the forefront of personalized medical devices. Our focus on skin and soft tissue infections, including surgical site infections, acute burns, and chronic wounds such as diabetic foot ulcers, venous leg ulcers, and pressure sores, addresses the high prevalence of these conditions in hospitals and long-term care facilities. This emphasizes the urgent need for personalized treatment strategies to improve patient care and healthcare efficiency.

Keywords: nanomaterials,surface enhanced raman spectroscopy sers,antimicrobial peptide mimetic,3d printing,microneedles,artificial intelligence,antimicrobial resistance,microbial biofilm
Predicting single-cell ploidy from digital pathology images in pan-sarcoma (SImPloidy)

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

Sarcomas are a diverse group of rare cancers that originate from mesenchymal tissues. The rarity and intrinsic genetic complexity of sarcoma have made it one of the most challenging tumours to diagnose and consequently, to treat. A key genetic characteristic of many sarcoma subtypes is aneuploidy. Aneuploidy is defined by losses and gains of chromosomes, and is a prognostic marker for a variety of sarcomas. Currently, tumour ploidy are most commonly estimated using copy number alteration calling software on whole-exome and whole-genome sequencing data. However, the unsatisfactory accuracy, economic costs, infrastructure requirements, lack of trained personnel in interpreting the results is still an impediment to global adoption of these techniques for routine use, particularly in less developed economies. The goal of this research is to develop a more accessible and more accurate approach for predicting tumour ploidy based on Hematoxylin and Eosin (H&E) stained whole slide images. The specific aims of the project are to 1) optimise a nucleus segmentation model for annotating sarcoma nuclei in H&E images, and predict tumour ploidy at single-nucleus level, 2) thoroughly validate image ploidy and systemically compare it with existing ploidy estimation methods, 3) evaluate the diagnostic and prognostic value of the image ploidy, and investigate its underlying biological mechanisms in pan-sarcoma. This work will be carried out at University College London and the Royal National Orthopaedic Hospital, under the supervision of Prof. Adrienne Flanagan and Dr. Nischalan Pillay. The host labs have collected and scanned whole slide images of more than 40 types of bone and soft tissue sarcomas from more than 8000 cases, of which 1,600 cases have paired WGS and transcriptome sequencing. The access to this unique dataset will give an unprecedented opportunity to study ploidy at single-nucleus level in pan-sarcoma.

Keywords: chromosomal instability,single cell ploidy,digital pathology,computational biology,sarcoma
Low Data Machine Learning for Sustainable Chemical Sciences (LowDataML)

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: Chemistry
Countries involved: Sweden,United Kingdom,Netherlands,Germany,Israel,Greece,Spain,Switzerland,Portugal,Canada
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 2558748.7
EU funding (EUR): 2419621.56
Participants: 17
Project status: SIGNED

Innovation in the chemical sciences is bound to iInnovation in the chemical sciences is bound to impact on Healthcare and Society. Supported by improved analytical methods and automation, brute force and large-scale experimentation have been playing an important role in generating volumes of chemical and biological data. These data now enable the support to decision making through machine learning/artificial intelligence (ML/AI) algorithms. In doing so, such algorithms help in the design and prioritization of experiments. As a result, we are witnessing a renaissance of ML/AI for accelerating chemistry, as in planning retrosyntheses, predicting reaction products, designing drug leads and materials de novo, and deconvoluting drug targets among others. Despite the chemistry advances leveraged by ML/AI, one can argue that not all research questions and findings benefit from the availability of big data (e.g., some discoveries are serendipitous). Here we argue that the current ML/AI toolkit excels in scenarios (big data) that do not entirely map onto daily practice (low and sparse data, often out of training set distribution). Thus, the scientific potential of ML/AI is not fully realized when state-of-the-art tools are implemented and primed for big data and highly charted search spaces. The disconnect between what is feasible and generally needed is apparent and is impacting our ability to advance the chemical sciences at a faster pace. In LowDataML we propose a suite of intersectional and transdisciplinary research projects that will create a new breed of scientists. Through an extensive training program, we will deliver 10 PhDs to the European R&D ecosystem, who are experts in low data ML with domain knowledge in synthetic organic chemistry and drug discovery. Further, the projects seamlessly integrate together and focus on: i) real world needs; ii) sustainability by minimising cost, time and materials consumption, with special focus on ecofriendly research practices.

Keywords: low data cheminformatics,chemical biology sustainability automation
Enlisting synthetic fungal-bacterial consortia to produce multi-cellular mycelium-based ELMs with computational capability (Fungateria)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Denmark,Belgium,Netherlands,Norway,United Kingdom,Greece
Call: Engineered Living Materials (HORIZON-EIC-2021-PATHFINDERCHALLENGES-01, 2021)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 3857067.5
EU funding (EUR): 3857067.0
Participants: 7
Project status: SIGNED

Fungateria addresses a development gap in mycelium-based ELMs by developing a portfolio of ELMs that are composed of a synthetic co-cultivation consortium of a filamentous fungus and a bacterial strain. Sensing and adaptive growth of the fungal hyphae are exploited to develop an autonomous bottom-up and scalable manufacturing technology called Growth Composing (GC) that enables an engineered morphogenesis of mycelium materials using robotically controlled spray nozzles that generate local air, gas or aerosol flows steering hyphal growth. In addition, bioprinting is used to deposit inocula of the engineered bacterial strain in specific patterns and at specific times throughout the production process. Various ELM products are developed, ranging from consumer goods to applications in the environmental and construction sector, which become active through environmental cues of light, temperature and chemical attractants. To this end, synthetic biology engineering will be implemented to use the bacterial strain as a chassis for sensor-containing genetic circuits that render advanced functionalities to the ELM throughout its life cycle, either through direct activity or by influencing growth and morphology of the fungal partner. ELM activity is verified with probes that reveal bio-electric signaling in the materials - providing additional dimensions of control, monitoring, functionality and exploitation as actively computing devices. When no longer needed or having reached the end of their productive life, kill switches are activated either by human-controlled environmental triggers or triggers of the system itself, thereby causing the ELM to fully and quickly degrade without causing any negative environmental impact. Throughout the Fungateria project, a societal dialogue will be established to continuously align research objectives with ethical and regulatory requirements.

Keywords: mycelium bacteria co cultivation synthetic microbial consortia air flow controlled production genetic circuits living computing devices
Restoration of agricultural lands in the context of food security and sustainable development (HumResLand)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Romania,Moldova, Republic of,Spain,Portugal,Italy,Hungary
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 1024187.14
EU funding (EUR): 976950.0
Participants: 13
Project status: SIGNED

The project aims to address land degradation recovery from a multi-point of view, leveraging cooperation, experience-sharing and skills transfer as core approaches among several EU partners countries with important agricultural potential. The project target is to contribute towards reaching the 15th Sustainable Development Goal of United Nations in the partner countries. This will be achieved by intensifying innovative international, inter-sectoral and interdisciplinary collaboration in research and innovation that is already in place between partners through staff exchanges and sharing knowledge and ideas at all stages of the innovation chain. HumResLand (Human Resilient Networks towards Halting and Reversing Land Degradation for Ensuring Food Security) is a project based on previous collaborations between some of the partners and aims to contribute to excellent research and to foster border-crossing and transdisciplinary research cooperation, helping to shape a culture of research and innovation that facilitates the transformation of ideas into novel services and processes. It will involve research, technical, administrative and managerial staff supporting R&I activities. The key of the project lies in the transfer of knowledge on halting and reversing land degradation by validating and disseminating information among all partners and towards beneficiaries. The network we will create shall aim to develop a deep understanding of the way land degradation can be assessed, modelled, and integrated in the framework of sustainable management scenarios, strategies and policies. These will rely on fostering international human resource links as resiliency method against food security threats posed by land degradation. Even if some land studies have been done so far, the importance and complexity of the problem of degraded land requires a multilateral study, which simultaneously includes multidisciplinary approaches provided by specialists.

Keywords: land degradation,food security,land management,interdisciplinarity,secondments,research networks