Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Revolutionary vascular repair patch to treat aortic dissections (AORTYX)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-05-01
End date: 2025-01-31
Duration (months): 33.0
Total project cost (EUR): 4261117.5
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Aortyx has developed a biomimetic bioresorbable adhesive patch to treat aortic dissections. It is inserted in the aorta through a femoral access using an endovascular catheter and a deployer. The patch adheres to the aortic tear, stopping false lumen blood flow, and promotes natural repair and biointegration thanks to its patented microstructure and viscoelasticity. Current endovascular approaches use rigid grafted stents, that have multiple drawbacks with continuing high mortality rates. These approaches will be replaced by our viscoelastic biomimetic patch that has minimal side-effects and promotes natural repair of the artery. Consequently, our device will reduce AD-associated mortality and improve post-intervention life quality of patients. It will also reduce post-operative stay and increase patient eligibility. We seek EIC Accelerator funding to fund the testing that will prove the scalability of our solution and set us on the path to becoming a global champion of aortic devices.

Keywords: thoracic aortic dissection,aortic aneurysm,electrospinning,bioadhesive,biodegradable polymer,minimally invasive surgery
Low latency Edge AI for Physics searches at 40 MHz (LEAP-40)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Switzerland
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-05-01
End date: 2031-04-30
Duration (months): 60.0
Total project cost (EUR): 1499992.0
EU funding (EUR): 1499992.0
Participants: 1
Project status: SIGNED

Despite having analysed of over 300 inverse femtobarns of data from the CMS experiment at the LHC, no evidence for New Physics beyond the Standard Model (SM) has been found. Yet, the SM is understood to be an effective theory, and a more fundamental theory is expected at smaller scales. A major limitation of current searches is that only 0.02% of the total data produced by CMS is used for analysis, while nearly 99% of the data is discarded within microseconds by the trigger system, before it even leaves the underground experimental cavern. This discarded data, filtered based on known physics signatures, may contain exactly the kind of unconventional signals that current analyses miss. The aim of this project is to dramatically increase the discovery potential of CMS by developing an online system that can analyse every proton collision event at the full 40 MHz collision rate in a signal-agnostic way. By targeting the 99% of lost data, this project opens new possibilities for detecting unconventional New Physics signatures that have eluded detection so far. By leveraging advanced anomaly detection techniques and high-performance computing, both pioneered by the project's PI, this real-time system will capture and analyse events that are currently missed by the existing trigger system. This novel approach will enable CMS to explore the full landscape of collision data with unprecedented sensitivity. If successful, it could revolutionise how we search for New Physics and lead to novel discoveries that reshape our understanding of fundamental forces. This high-risk, high-reward project is a bold LEAP forward in the hunt for New Physics at the LHC, fully exploiting the capabilities of CMS and unlocking its full potential for discovery. This project’s technological innovations on real time Machine Learning inference, have the potential to impact fields such as satellite communications and large telescope arrays, broadening the scope of its significance.

Keywords: lhc,triggering,new physics searches,machine learning
The hyPEr ExpeRt collaborative AI assistant (PEER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Belgium,France,Portugal,Spain,Italy,Netherlands,Czechia,Poland,Germany
Call: AI for human empowerment (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2022-HUMAN-02, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 7737900.0
EU funding (EUR): 7737900.0
Participants: 17
Project status: SIGNED

A significant, highly complex class of artificial intelligence applications are sequential decision-making problems, where a sequence of actions needs to be planned and taken to achieve a desired goal. Examples include routing problems, which involve a sequence of steps from source to destination; the control of manufacturing processes, which consist of a variable sequence of operations; or active learning problems, in which machine learning algorithms query human users for a sequence of inputs. We address the compelling scientific and technological goal of tackling users' lack of trust in AI, which currently often hinders the acceptance of AI systems. We break down this problem into two complementary aspects. First, users do not understand current AI systems well, with a lack of transparency leading to misinterpretations and mistrust. Second, current AI systems do not understand users well, offering solutions that are inadequately tailored to the users' needs and preferences. PEER will focus on how to systematically put the user at the centre of the entire AI design, development, deployment, and evaluation pipeline, allowing for truly mixed human-AI initiatives on complex sequential decision-making problems. The central idea is to enable a two-way communication flow with enhanced feedback loops between users and AI, leading to improved human-AI collaboration, mutual learning and reasoning, and thus increased user trust and acceptance. As an interdisciplinary project between social sciences and artificial intelligence, PEER will facilitate novel ways of engagement by end-users with AI in the design phase; will create novel AI planning methods for sequential settings which support bidirectional conversation and collaboration between users and AI; will develop an AI acceptance index for the evaluation of AI systems from a human-centric perspective; and will conduct an integration and evaluation of these novel approaches in several real-world use cases.

Keywords: explainable ai,trustworthy ai,co creation,human ai collaboration
Understanding and Predicting Impacts of Climate Extremes under Global Change (CLIMES)

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: Environment and Geosciences
Countries involved: Sweden,United Kingdom,Germany,Greece,Belgium,Spain,Cyprus,France,Switzerland,Netherlands,Ghana,Italy,Norway,South Africa,Poland
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): 4204852.2
EU funding (EUR): 4204852.2
Participants: 27
Project status: SIGNED

CLIMES advances the understanding of multisectoral impacts of climate extremes in an era of global change, and trains a cohort of climate impacts experts to enhance European resilience to future climate impacts and further Europe's capacity for research and innovation in this field. CLIMES specifically focuses on improved climate impact data compilation, innovative risk assessment and the development of climate impact forecasting. The research and training in CLIMES respond to urgent socio-economic needs. The cost of climate-related disasters is steadily increasing, as many climate extremes become more frequent and severe due to anthropogenic climate change. The European Commission recognises changes in climate extremes and their impacts as transnational problems and key challenges facing the Union. These challenges are also an opportunity: there is huge untapped potential for climate services in Europe, notably in relation to climate impacts. This potential can be realised through the training of a new generation of experts on the topic. CLIMES achieves excellence in research through an interdisciplinary approach bridging academia, the private, public and third sectors, fostering cross-pollination between research fields as diverse as climate science, urban sociology, electrical engineering, data science and epidemiology. This effort is timely, and leverages newly-developed climate datasets and Artificial Intelligence tools to open unexplored avenues in the study of impacts of climate extremes. Excellence in training leverages the breadth and depth of the CLIMES consortium, enabling CLIMES doctoral candidates to become climate impacts experts. The doctoral candidates will combine a thorough scientific understanding of impacts of climate extremes with a practical knowledge of user-relevant information, climate policy and climate service commercialisation. This prepares them for a broad range of careers, across academia, the private, public and third sectors.

Keywords: climate impacts climate extremes impact forecasting natural hazards
Improving Tourism and Hospitality Worker Well-being Through Social Dialogue (FUTOURWORK)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: United Kingdom,Portugal,Romania,Greece,Bulgaria,Sweden
Call: Social dialogue in the new world of work (HORIZON-CL2-2024-TRANSFORMATIONS-01, 2024)
Start date: 2025-01-01
End date: 2028-06-30
Duration (months): 42.0
Total project cost (EUR): 2567217.5
EU funding (EUR): 2481662.5
Participants: 9
Project status: SIGNED

Tourism and hospitality (T&H) make up over 10% of the European economy and 11.7% of employment. Many of the 13 million employees in the EU are from marginalised groups: women (54%), migrants (16% ) and youth (30%) (ILO, 2022). However, staff turnover and vacancies are high, with 1.2 million job vacancies (11%) in the EU. Many T&H workers are in non-standard forms of work, including platform work. This is detrimental for employees: a decent work deficit, lack of social protection, increased precarity and vulnerability, and increased in-work poverty (European Parliament 2021). Furthermore, algorithmic management impacts negatively on these workers. Generally considered as self-employed, platform workers risk exploitation, forced labour, mistreatment, and sexual abuse. Their precarity is increased due to legal, knowledge and financial obstacles they face in representation and social dialogue structures. FUTOURWORK will investigate how all T&H workers can be included in social dialogue, and understand and tackle the challenges of the associated distributional costs. While acknowledging a variety of social dialogue arrangements and processes, reflecting different historical, economic and sociopolitical backgrounds, this project researches the changes in the new world of work, examples of best practice and identifies common issues that can be tackled at a European level. Using an intersectional gender-sensitive approach FUTOURWORK will use quantitative and qualitative techniques including surveys, mapping, interviews, story -telling and multi-stakeholder learning dialogues. FUTOURWORK will produce an index that can be used by industry to benchmark their workers well-being. Workers stories will be collected and a documentary produced to enhance public understanding. We will develop an observatory to integrate the information produced and as a platform for dialogue for workers, legal and social dialogue organisations and employers.

Keywords: tourism and hospitality social dialogue,digitalisation,
Radioactive decontamination in Fukushima and the fabric of a collective memory (RADMemCo)

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: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: SIGNED

During the years following the nuclear accident of Fukushima Daiichi in Japan, a decontamination work was undertaken by Japanese authorities in the prefecture of Fukushima on a scale unprecedented even compared with the decontamination following the Chernobyl nuclear accident: around 16 000 workers removed more than 20 million m3 of radioactive soil, for a cost estimated at 24 bn €. My project RADMemCo aims to understand the genesis of this decontamination work, focusing on the collective memory of disasters. In their argumentation concerning the Fukushima crisis, the managers of the plant frequently use analogies with diverse earlier crises to explain and cope with this new type of disaster. They have compared the ongoing decontamination process, for example, with the techniques used in the past by Japanese peasants to remove the ashes of the soils after a volcanic eruption. The RADMemCo project asks: Did a particular Japanese way of dealing with disasters play a role in the choice of a large-scale radioactive decontamination in the affected areas of Fukushima? Conversely, did this decontamination work influence the perception and collective memory of the nuclear accident of Fukushima Daiichi? To answer these questions, I will engage in an ethnographic study of actors of this decontamination work in the village of Iitate, situated about 40 km northwest of the Fukushima Daiichi nuclear power plant. The evacuation order was lifted in 2017, but few inhabitants decided to return. Among them, two citizen groups are monitoring constantly the levels of radioactivity, and seek to develop various ways of coping with the situation. One group that I will follow in particular, composed of local peasants and agronomists of the University of Tokyo, experiments with and designs new techniques to remove the radioactivity from the fields. Doing so, they might remove the radionuclides not only from the soils, but also from the collective memory of this disaster.

Keywords: nuclear accident,radioactivity,decontamination,nuclear waste management,collective memory,crisis management,fukushima,japan
Medical Soft Skills Training with AI (MediSoft- AI)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 1140000.0
EU funding (EUR): 1140000.0
Participants: 1
Project status: SIGNED

Introducing MediSoft- AI, a program to enhance Medical Soft Skills Training with AI, developed by MetaMedicsVR. MediSoft- AI utilizes cutting-edge technology, including artificial intelligence, immersive virtual reality, and voice recognition algorithms to revolutionize healthcare communication. This innovative solution offers comprehensive training in soft skills for healthcare professionals. With MediSoft- AI, users engage in immersive VR simulations, interacting with virtual patients in realistic scenarios. AI-driven feedback provides personalized coaching, enabling users to enhance their empathy, communication, and interpersonal skills. The software promotes competency training by offering scalable and flexible learning experiences. Tailored training modules are provided to meet specific needs in various specialties and settings. Additionally, MediSoft- AI integrates remote guidance capabilities, allowing experts to provide real-time coaching and support to users from anywhere in the world. This remote guidance feature facilitates worker augmentation, empowering healthcare teams with expert assistance and mentorship, regardless of their location. By eliminating the need for travel and reducing time away from clinical duties, MediSoft- AI contributes to cost and time savings for healthcare organizations. The software also aligns with the UN Sustainable Development Goals and supports the digital transformation of healthcare. The training software has been tested with two pilots and feedback has been gathered to improve the existing content. These includes innovation activities directed towards R&D, enhanced content development and algorithm enhancement. With MediSoft- AI, we foresee a new era in healthcare communication and professional development. We would like to be part of the EIC Accelerator to access invaluable resources, mentorship, and networking opportunities that will accelerate the development and deployment of the remote training software.

Keywords: medical training,soft skills,vr ar xr,ai
Sweet adhesins: Probing bacterial glycoproteins with novel tools to inspire future antibacterial strategies (STICKY SUGARS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure -properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499251.0
EU funding (EUR): 1499251.0
Participants: 1
Project status: SIGNED

With bacteria increasingly resistant to current antibiotics, new strategies to fight infection are needed. Bacterial adhesin proteins, which play an important role in the establishment of infection, appear to be promising targets for novel therapies. Adhesins enable the first contact between bacteria and host cells. We know that some adhesins are modified with highly unique sugars that are important for adhesin stability and adherence. However, we do not know how widespread this modification is, and whether it constitutes a good target for antibacterial strategies. A lack of suitable methods for the detection of bacterial adhesin sugars has impeded the detailed study of these sugars, blocking further efforts to develop antibacterial strategies against bacterial adhesin sugars. In this project, I aim to revolutionize our understanding of adhesin sugars, in terms of timing and prevalence of the modification, which is crucial information to start targeting adhesin sugars. To this end, I have designed an innovative approach that combines the strengths of carbohydrate chemistry, enzymology, microbiology and molecular dynamics to 1) establish straightforward methods to selectively visualize and quantify the adhesin sugars directly on the surface of bacterial cells; 2) detect the presence of adhesin sugars under changing growth conditions and in relevant clinical isolates; and 3) develop a computational method to predict the presence of sugars on adhesins that have not yet been identified. Recent findings from my team on the process of adhesin modification underscore the uniqueness of adhesin sugars, and this experience puts me in an ideal position to start this project. The overarching goal of STICKY SUGARS is to lay the foundation for the exploitation of adhesin sugars as antibacterial targets. By visualizing adhesin sugars directly on bacteria, we can observe their response to antibacterial treatments and pave the way toward clinical applications in the future.

Keywords: glycobiology,carbohydrate chemistry,glycosyltransferase,bacteria,adhesin
Cavitation-based bio-ablation and drug delivery (CAVIAR)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Switzerland
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): 2069415.0
EU funding (EUR): 2069415.0
Participants: 1
Project status: SIGNED

The proposed research will critically advance the medical use of high-intensity focused sound waves, namely ultrasound and shock waves. In particular, the project aims to break grounds by elucidating the physics behind ultrasound and microbubble-mediated targeted drug delivery and non-thermal, cavitation-based ablation of biological tissues and stones, relevant in the treatments of neurological diseases, tumours, blood clots, bacterial infections and kidney stones. Through carefully designed in-vitro experiments, the project aims at explaining and comprehensively characterising, uniquely within a single framework, the currently elusive mechanisms behind the mechanical bioeffects produced by cavitation activity across a wide range of acoustic driving conditions from gentle, low-amplitude ultrasound for reversible cellular sonopermeabilisation to drugs up to the fragmentation of stones in shock wave lithotripsy. This will be achieved using a unique combination of advanced measurement techniques such as ultrafast videomicroscopy and synchrotron X-ray imaging, and leveraging the PI's expertise in acoustics, microbubble technology and the physics of cavitation. The expected outcomes of the proposed research are to i) help optimise the mechanical effects in medical sound wave therapies to improve their safety, precision and efficacy and allowing swift clinical translation for emerging medical therapies; ii) significantly advance experimental techniques to spatiotemporally resolve ultrafast microevents; iii) refine acoustic cavitation detection techniques in the clinical setting by correlating specific visually observed cavitation activities to their acoustic signatures; and iv) propose a new, rigorous measure to assess safety against mechanical bioeffects caused by cavitation in clinical applications using high-amplitude sound waves.

Keywords: cavitation,ultrasound,sonoporation,ablation,drug delivery,shock waves,high speed imaging