Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ICARUS. INCREASING CIRCULARITY IN PROCESS INDUSTRIES BY UPCYCLING SECONDARY RESOURCES (ICARUS)

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
Partnership: Processes4Planet (co-programmed)
Countries involved: Spain,Portugal,Belgium,Italy,Germany,France,Netherlands
Call: Circular economy in process industries: Upcycling large volumes of secondary resources (Processes4Planet partnership) (RIA) (HORIZON-CL4-2023-TWIN-TRANSITION-01, 2023)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 12780431.14
EU funding (EUR): 9768063.0
Participants: 19
Project status: SIGNED

ICARUS will upcycle waste material resources of most selected process industries (covering minerals, cement, ceramic, non-ferrous metals, steel, water, pulp&paper and chemical ones) to achieve circular and sustainable process industries overcoming their final application in construction sector. This project will accelerate the process industry uptake and contributing towards the developed education and skills activities and outcomes in this area as well as linking all value chain from industrial players recyclers, public authorities, and standardisation actors. ICARUS tackles resources usage in the construction sector (housing and infrastructure), accounting for 50% of the total material extraction, and being responsible for more than 35% of waste streams in the EU. Furthermore, the circular economy in the sector is still at a very early stage, with an estimated level of circularity for the EU of 12.4% material use rate in the year 2021. ICARUS approach aims to give technological support to stakeholders of energy-intensive and construction industries as key players for the transition to a more green and digital processes industries supported by standardization aspects to promote values and a resilient, green and digital Single Market and business models including co-creation and co-design to successful market implementation. ICARUS will represent a breakthrough in the research and demonstration of new technologies to upgrade Secondary Raw Materials ensuring similar quality as primary raw materials, of three waste streams to improve circular economy principles in several intensive industries with its implementation in the construction sector, to improve circular economy principles in P4P process industries. These new technologies will be demonstrated throughout 3 demo cases: 1-Upcycling of Lithium Aluminosilicate Residue;2-Upcycling of SRMs from urban waste cellulose;3-Upcycling of steelmaking slags via Carbon Capture and Storage .

Keywords: upcycle waste material resources secondary raw materials industry uptake education and skills standardisation circular economy ccs lar cellulose p4p process industries quality
Microneedle Integrated Responsive Approach for Cancer Localized Treatment Execution during Plasmonic Photothermal Multimodal Therapy (MIRACLE)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-02
End date: 2028-02-01
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

Cancer remains a critical global health challenge, with millions of new cases and deaths reported annually. Traditional treatments like surgery, chemotherapy, and radiotherapy often fall short, causing systemic toxicity, severe side effects, and cancer recurrence, significantly impacting patients' quality of life. The MIRACLE project aims to revolutionize cancer treatment by developing an innovative microneedle (MN) patch for localized, multimodal cancer therapy. Herein, the multimodal therapy integrates plasmonic photothermal therapy (PPTT), where nanoparticles (NPs) are selectively heated by near-infrared (NIR) radiation to destroy cancer cells, with photodynamic therapy (PDT), which generates reactive oxygen species and chemotherapy involving NIR radiation-triggered drug release to enhance treatment efficacy. However, challenges like limited accumulation of agents at tumor sites, unwanted distribution in healthy organs, and leakage during delivery limit clinical translation. The MIRACLE project will address these challenges by developing a NIR-responsive MN patch integrated with PPTT-assisted multimodal cancer therapy specifically designed for treating superficial cancers like melanoma. These MN patches, with micron-sized needles, painlessly penetrate the skin’s outer layer to deliver therapeutic agents directly to the tumor, ensuring localized delivery and release. Upon skin insertion and NIR irradiation, the MN patch will deliver NPs (for PPTT), a photosensitizer (for PDT), and a chemotherapeutic drug, concentrating treatment at the tumor, reducing systemic exposure and minimizing side effects. The project will validate the MN patch through in vitro, ex vivo, and in vivo studies. MIRACLE project aligns with the EU Mission: Cancer’s goals of advancing cancer treatment by developing innovative MN patch for localized multimodal cancer therapy and improving patients’ quality of life via a minimally invasive, patient-compliant approach with fewer side effects.

Keywords: microneedles,plasmonic photothermal therapy,multimodal cancer therapy,photodynamic therapy,phototherapies,laser based therapies,controlled drug delivery,melanoma,cancer therapeutics
Image-Based In Silico Modelling of Feto-Placental Vasculature (InSilicoPlacenta)

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: Cyprus,Australia,United Kingdom
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-07-10
End date: 2026-02-09
Duration (months): 31.0
Total project cost (EUR): 164328.0
EU funding (EUR): 164328.0
Participants: 3
Project status: SIGNED

The placenta nourishes the fetus and removes its waste products in pregnancy. Fundamental to its function is the healthy development of an extensively branched tree-like structure known as the vascular tree. In pathological pregnancies, abnormalities have been found in placental structure and function. Impaired uteroplacental blood flow can lead to pregnancy disorders such as fetal growth restriction (FGR), a condition in which the fetus does not grow physiologically. FGR has lifelong consequences for both fetus and mother, affecting 8-10% of pregnancies and contributing to 30% of stillbirths. The placenta is inaccessible to in vivo measurements due to technological and ethical constraints. Ultrasound is the most routinely used clinical imaging tool for screening the placenta; however, it is limited in spatial resolution. Placental function can be also assessed via Magnetic Resonance Imaging (MRI) which is safe during pregnancy; however, MRI models cannot measure blood flow changes in the placental vascular tree. Complementary to imaging, in silico models are increasingly used to probe complex cardiovascular problems. Attempts to model blood flow in the placental vasculature are based on oversimplified assumptions while being limited by the data they have been informed or validated against with. Here, an integrated hemodynamic model of the placental vasculature will be developed using novel ex vivo computed tomography data and computational fluid dynamics. This project will innovate by delivering a computer-based framework, InSilicoPlacenta, which will offer a comprehensive understanding of the structural and functional abnormalities with FGR. We will combine medical imaging with in silico models to infer placental tissue properties of the entire placental vasculature. The long-term impacts of the proposed framework are expected to change clinical diagnosis and management of high-risk pregnancies by reducing stillbirths and improving neonatal outcomes.

Keywords: medical imaging image based modelling computational fluid dynamics in silico fetal growth restriction
COunterfeit DEtection: Validating the ARTDETECT approach with Stakeholders in the loop (CODES)

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: Belgium
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-03-01
End date: 2026-08-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Forged paintings pose an urgent challenge to international law enforcement agencies and the art world. Both the quantity and the quality of the works are alarming. In practice, however, this type of art crime is notoriously difficult to detect and combat. The CoG project ARTDETECT is generating new knowledge about significant anomalies that betray forged paintings (as well as into key characteristics of comparable originals); and is developing ‘thin-slicing’ tools, i.e. computer programs and checklists that help to quickly and effectively select potential forgeries for in-depth analysis. However, in order to ensure the practical application of the new knowledge and tools, it is crucial to engage with stakeholders at an early stage in order to 1) gain access to a wide range of current cases, 2) test the validity of the preliminary conclusions, and 3) identify the challenges and opportunities in this restricted part of the market. The team has a unique opportunity to collaborate with stakeholders and gain access to a large number of (potential) forgeries in the styles of more than 100 modern painters. We are also setting up our own lab. These circumstances allow us, at relatively low cost, to build an extensive curated image database of real cases, to carefully annotate the images, and to rigorously validate our preliminary conclusions. Through in-depth confidential research with stakeholders CODES will provide an extensive test dataset and user-oriented guidelines that have the potential to revolutionize counterfeit detection.
Smart sectors (SMARTS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (JU-JTI)
Countries involved: Spain,Germany,Belgium,France,United Kingdom
Call: ATM application-oriented Research for Capacity-on-demand and Dynamic Airspace (HORIZON-SESAR-2022-DES-ER-01, 2022)
Start date: 2023-09-01
End date: 2026-02-28
Duration (months): 30.0
Total project cost (EUR): 1504151.84
EU funding (EUR): 1057494.34
Participants: 7
Project status: SIGNED

Dynamic Airspace Configurations is at the core of the current and future European air traffic system. Enabling additional airspace capacity is a key factor to address the significant capacity challenges already faced in the recent past and to cope with the (expected) significant growth in air traffic, while maintaining safety, improving flight efficiency and reducing environmental impact. In line with the strategic goal, the main objective of SMARTS is delivering the right amount of capacity, at the right moment and with the maximum efficiency to better serve the air traffic demand. The aim is to make the airspace design and configuration process more efficient, taking full advantage of the airspace potential. Sectors and sector configurations should ensure that Air Traffic Controllers can handle the associated workload comfortably. To achieve this objective, SMARTS proposes to design sectors and sector configurations based on smart sectors. Smart in the sense that are aware of the environment (traffic and complexity prediction, capacity estimation, impact on other sectors), can act and adapt to improve the environment (create a sector design that produces a desired outcome in terms of workload/complexity), and can communicate with relevant actors (both local and network nodes). The smart sector is engendered by the design of basic volumes, and it is expected to provide the basis for an optimal distribution of workload, tailored around specific safety and operational requirements including complexity. As a by-product, the application of cost-efficient capacity actions allows a more accurate DCB planning in the early INAP phases thus reducing the number of required demand measures.

Keywords: basic volumes,dynamic airspace configuration process,machine learning,optimization
Prussian Blue Analogues for K-ion batteries (PrussBlueKion)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-01
End date: 2027-12-31
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 1
Project status: SIGNED

There is an increasing demand for sustainable energy storage solutions to reduce the greenhouse gas emissions and the consumption of fossil fuels. Among the technologies, it became evident that current lithium-ion batteries have several drawbacks such as their cost, availability and inadequate sources of lithium metal. The main objective of this project is to develop an inexpensive, non-toxic, and abundant alternative to Li-ion batteries. More specifically, this project will focus on Prussian Blue Analogues (PBAs) as cathode materials for K-ion batteries. PIBs have recently receive great attention thanks to the high abundance of potassium, the low electrochemical potential (K/K+ (2.93V vs SHE) lower than Na/Na+, and the possibility of being intercalated into graphitic carbons. These properties make PIBs to present a higher-voltage operation in the wider voltage range compared to NIBs and LIBs. Furthermore, KIBs can realize high-power densities based on the fast diusion rate of K+ ions. Prussian Blue Analogues have emerged as excellent cathode materials for Na-ion (SIBs) and K-ion batteries (PIBs) thanks to their open structure, with large diffusion channels that allow reversible incorporation of cations. Furthermore, their easy synthesis (not required of high temperature), and the presence of abundant and non-toxic elements (Fe and Mn) make them good candidates, especially for large-scale stationary energy storage. This technology (PIBs) however in a low level of maturity in comparison with LIBs and SIBs so further understanding at the materials level is needed to improve their application in the industry. Here we will develop a new synthesis of these materials, focusing on Prussian White phases, we will also their performance in different electrolytes and anode materials. We will place a great emphasis on operando techniques to understand the phases form, SEI and limitations of this technology.

Keywords: prussian blue analogues,k ion batteries,new synthetic route,mechanistic insights
An Ozone Layer on Early Mars? Leveraging Techniques from Earth Science to Understand Habitability at the Red Planet (AREOZONE)

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,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-06-01
End date: 2028-05-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 2
Project status: SIGNED

For decades, Mars exploration has focused on evidence for life to answer the fundamental question: Are we alone in the universe? I will investigate the possibility of life on early Mars by leveraging decades of research on Earth’s atmosphere to understand that of the red planet. I will use a well-established photochemical model constrained by observations from complementary missions to explore whether ancient Mars ever had a protective ozone layer that could have shielded surface-dwelling life. The ozone layer is critical on Earth, securing surface habitability from DNA-damaging UV radiation and controlling the temperature structure of the middle atmosphere, with important climatic effects. Our understanding of how Earth’s ozone levels have changed has quickly expanded in recent decades. Here, I will apply lessons learned from Earth to the evolution of a second system—Mars—which will provide unique insights into factors that control planetary atmospheres and the search for life in the universe. Specifically, I will investigate the utility of ratios of the three oxygen isotopes, used extensively to understand oxidative chemistry and atmospheric composition changes on Earth, to constrain Mars ozone densities through the following three objectives. I will: 1) predict triple oxygen isotope signatures for the present-day Mars atmosphere and compare to observations, to better understand controls on isotope composition; 2) determine realistic palaeo-atmospheric conditions conducive to an ozone layer; and 3) predict the oxygen isotope composition of select geological materials for potential early Mars conditions and prioritise options for future exploration. We are in the midst of a revolutionary accumulation of spacecraft data and unprecedented Mars exploration, making this work perfectly timed. Preparation for interpretation of measurements from Mars via my proposed modelling is critical to focus future observational efforts from space agencies globally.

Keywords: planetary science,mars,atmospheric science,atmospheric modelling,ozone,habitability
Application of Metal-organic frameworks synthesized by Microfluidics in Microextraction for Metabolomics: development of a non-invasive bioanalytical method for early diagnosis of fatty Liver diseases (M4Liver)

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 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: SIGNED

Non-alcoholic fatty liver disease (NAFLD) is the most common liver disorder worldwide, which affects to around 25% of the population. It is associated with obesity and diabetes and may lead to chronical liver diseases and cancer. Its diagnosis and prognosis involve a liver biopsy that entails certain unavoidable risks and errors and present a high cost. The determination of biomarkers in biological fluids, particularly metabolomics, is one of the most promising tools as an alternative to these more conventional invasive procedures. Thus, it is important to develop a platform to monitor and diagnose the disease in a wider population as well as to track the disease evolution. The aim of M4Liver project is to design and fabricate an effective microextraction device for the development of a simple and non-invasive bioanalytical method suitable for the early diagnosis, prognosis, and monitoring of fatty liver diseases. The method is based on the identification and quantification of biomarkers in plasma samples. They will be extracted and preconcentrated using a small device coated with a hybrid material with anti-fouling properties, which is composed of a metal-organic framework (MOF) and a polymeric phase. With the aim of ensuring scalability and reproducibility, the MOF particles will be prepared using microfluidics. Overall, the combination of the preconcentration technique, the impressive MOF sorption capacity and polymer stability in this analytical method will contribute to gain insight into the role of biomarkers in NAFLD. Moreover, given the simplicity and the possibility of carrying out parallel and fully automatic analysis with this approach, its implementation in routine clinical laboratories as a simple and economical platform is feasible.

Keywords: fatty liver disease,biomarker,metabolomics,diagnosis,microextraction,metal organic framework,microfluidics,diagnosis
Congenital Heart Anomaly Representation and Machine-learning for Screening (CHARMS)

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-2025-POC, 2025)
Start date: 2026-01-01
End date: 2027-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

CHARMS aims to transform prenatal screening by developing novel normative representation learning (NRL) algorithms for ultrasound imaging and introducing them into clinical workflows, to enhance early detection of congenital heart anomalies. Addressing disparities in maternity outcomes and global shortages in sonography expertise, the project targets improving the detection of congenital heart disease (CHD), a common and often fatal congenital malformation with low antenatal detection rates. Building on the ERC MIA-NORMAL project, we will create robust out-of-distribution detectors specifically for ultrasound imaging and CHD, utilising comprehensive data, including videos, images, and patient characteristics. CHARMS tools will identify subtle abnormalities in motion patterns or anatomical changes, significantly enhancing CHD detection in practice. We will develop normality-focused models to confidently confirm normal development and malformations using ultrasound video data, design self-supervised anomaly detectors to identify 'unknown unknowns’ and equip models with generative capabilities to ensure trustworthiness and robustness against covariate shifts such as poor image quality or varying ultrasound scanners. Through generative techniques we will also validate and refine 3D+time representations of fetal cardiac anatomy, facilitating a comparative analysis with MRI data, further enhancing model precision. Additionally, CHARMS will explore correlations between non-imaging and imaging phenotypes, utilising knowledge distillation to align features with physiological textbook knowledge. This will generate synthetic scan variants that match clinical phenotypes, enabling a deeper understanding of disease mechanisms and the development of new image-based biomarkers. A Quality Assurance framework will be established to ensure model safety and robustness, complying with the EU AI Act, including protocols for rigorous validation against known physiological facts.