Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PlasMonic photo-thErmo-catalyzed composite membranes for Remediation of persistent poLlutants IN water (MERLIN)

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: Spain,Portugal,Ireland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-07-01
End date: 2026-06-30
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 3
Project status: SIGNED

Water contaminants of emerging concern (CEC) are pressing issues due to their high persistence and deep impact on ecosystems. Amongst them, antibiotics contribute indelibly to the proliferation of 2nd generation CECs, such as antibiotic-resistant bacteria and -resistance genes. MERLIN project pursues developing an integral and green solution for the abatement of CECs water pollution by applying forefront photo-thermo-catalytic membranes. Thus, photocatalysis arises as one of the greener and more promising technologies for CECs mineralization. However, its success is conditional on the use of semiconductors (SCs) with ad-hoc properties to work under solar irradiation. MERLIN will finely tune the band-edge potentials of novel photoactive SCs, in order to expand their solar light harvesting capacity and efficiency. In addition, the cooperative effects of dual photo- and -thermal catalysts will be explored by engineering local thermal energy “hot-spots” into SCs photocatalyst. For instance, the thermal-assisted photodegradation of CECs is foreseen to overcome the performance of classic photocatalytic systems. So, MERLIN aims by engineering the band gap of nanostructured SnO2 and CuO SCs to confer them a plasmonic response, making them autarchic photo- thermo- catalyst materials (PPTM) able to drive an accelerated CECs mineralization. In addition, MERLIN proposes developing forefront photo-thermo-catalytic nanocomposite membranes through the immobilization of PPTM into 3D-polymeric micro-structured membranes via 3D printing techniques. These composites pursue to immobilize CECs into the polymeric scaffold while PPTM nanotechnology faces their degradation (and of their sub-products) until their complete mineralization. Finally, MERLIN will run under the circular economy concept, where the green membranes will be developed for their recovery and reusability, considering the full assessment of their ecotoxicity.

Keywords: photothermal,polymeric membranes,semiconductors,morphology,photocatalysis,nanomaterials
Intelligent Trust and Security Orchestration for 6G Distributed Cloud Environments (iTrust6G)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Research and Innovation actions
Partnership: SNS (JU-JTI)
Countries involved: Spain,Germany,Portugal,Greece,Italy
Call: Reliable Services and Smart Security (HORIZON-JU-SNS-2023, 2023)
Start date: 2024-01-01
End date: 2026-06-30
Duration (months): 30.0
Total project cost (EUR): 4493308.75
EU funding (EUR): 4236558.75
Participants: 9
Project status: SIGNED

iTrust6G aims at designing and implementing a network architecture implementing the zero-trust principles to increase the trustworthiness of 6G networks at several levels: AI/ML algorithm exploited for threat handling, asset compliance, explainable security policies and asset observability. The prioject aims to improve the accuracy and the efficiency of the (i) methodologies used for trust determination (e.g. time to share cyber-threat intelligence, duration of the vulnerability assessment procedure, number of the assurance conformity check), (ii) the performance of the security procedures involved (e.g. number of classes of monitored resources, mean time-to-detection of threat, mean time-to-reaction), and (iii) the induced overhead over network resources exploitation (e.g. performance overhead due to the programmability models).

Keywords: network security,zero trust,trustworthiness
Development of the first oral disease-modifying treatment for chronic obstructive pulmonary disease (COPD) (RESPIRE)

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: 2022-01-01
End date: 2024-06-30
Duration (months): 30.0
Total project cost (EUR): 3537295.0
EU funding (EUR): 2476106.5
Participants: 1
Project status: CLOSED

Palobiofarma is a Spanish biotech company with the ambition to develop new treatments for cancer and autoimmune diseases based on adenosine receptor modulation. Our compound PBF-680 is a first-in-class therapy with disease modifying effects in respiratory diseases like COPD. Over 65M patients suffer from COPD, yet there are no approved therapies that target disease progression. PBF-680 is a unique molecule designed to specifically antagonise the Adenosine 1 Receptor (A1R). it has shown to be safe and well-tolerated in phase 1 trials and demonstrated to reduce pulmonary symptoms and inflammation in mild-to-moderate asthmatics in phase 2 trials. With funding from the EIC Accelerator, we will demonstrate efficacy in a phase 2 trial in COPD, a market with high unmet medical need. Proven clinical efficacy will be the major milestone to raise €30M (incl €15M EIC Equity) for a phase 3 trial, followed by an additional fund raising or IPO to independently reach market launch with PBF-680.

Keywords: drug development,disease modifying,adenosine,adenosine receptor 1 antagonist,inflammation,bronchoconstriction,copd,oral anti inflammatory drug,exacerbation prevention
Custom Cryptographic Solutions with Formal Security Guarantees (CRYSPEN)

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: France
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-04-01
End date: 2023-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Modern web applications routinely rely on standardized cryptographic protocols and algorithms to protect sensitive user data. Furthermore, with the advent of blockchains, the imminence of quantum computers, and widespread concerns about privacy in an era of surveillance and machine learning algorithms, enterprises are increasingly turning to sophisticated non-standard cryptographic solutions customized for specific usage scenarios. Unfortunately, cryptographic design and implementation is notoriously error-prone with a long history of design flaws, implementation bugs, and high-profile attacks. This leaves software companies with a difficult choice: every time they deploy a new crypto standard or an innovative cryptographic application that improves the security and privacy of their users, they risk exposing embarrassing flaws in their design or code. The research results of ERC Circus offer a way out of this conundrum by advocating the use of formal verification to build cryptographic software with machine-checked proofs of security and correctness. A landmark output from this project is HACL*, a verified high-performance cryptographic library which is currently used by mainstream software like Mozilla Firefox, Linux Kernel, Tezos Blockchain, and ElectionGuard. We propose to establish a company (called Cryspen) that will transition the research software developed in ERC Circus towards a production-quality ready-to-use verified cryptographic software stack. In addition, Cryspen will offer a developer-friendly verification framework that can be used to build new custom cryptographic solutions in C, Rust, and JavaScript. The goal of this Proof-of-Concept proposal is to fund the initial technical transfer of research software to Cryspen and the business development of this company. Once this transfer is complete, Cryspen will be able to offer long-term service contracts to existing and new users of HACL*, and offer software contracts to enterprises interested in deploying verified cryptographic software.
Fetal Growth Restriction Perinatal Outcome Decision Support – improve perinatal outcomes in early-onset fetal growth restriction by rationalizing the decision of timing of delivery (FGR PODS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 4
Project status: SIGNED

Early-onset foetal growth restriction <32 weeks’ gestation is a severe pregnancy disorder that affects an estimated 15,000 European pregnancies annually and puts the babies at risk of severe morbidity and mortality. The underlying mechanism of the disorder is placental insufficiency leading to failure to meet the foetal metabolic and respiratory demands (the first leading to the growth disorder, the latter leading to fetal demise). Birth of the foetus prevents further damage from the intrauterine environment, but exposes the neonate to the challenges of severe prematurity. When women are admitted to the hospital with this complication of pregnancy, the obstetrician monitors the progressive signs of placental insufficiency and decides to expedite birth when the risks of foetal demise outweigh the risks of prematurity. Currently, there is lacking evidence how to weigh all prognosticators in this balance, therefore it takes place in the black box of the obstetrician's mind. In FGR PODS (Fetal Growth Restriction Perinatal Outcome Decision Support), I aim to develop and validate a ground-breaking decision support tool that will aid the obstetrician with objectively determining the optimal timing of birth. The decision support tool will integrate a combination of foetal and maternal prognosticators, and can be implemented in electronic patient charts. Provided as freeware, centres that have implemented the tool will feed back pseudonymized patient data in order to continuously refine the model. Also, within FGR PODS, I will perform innovative analysis (including machine learning) of fetal heart rate signals and of serially measured biomarkers to pick up placental respiratory failure. These studies will further our understanding of the foetal pathophysiological mechanisms resulting from placental insufficiency and will potentially identify targets for therapeutic interventions.

Keywords: fetal growth restriction cardiotocography perinatal outcomes clinical decision support tool maternal biomarkers fetal heart monitoring syncytiotrophoblast machine learning deep learning
NEUTRINO QUANTUM KINETICS (ANET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 2027474.0
EU funding (EUR): 2027474.0
Participants: 1
Project status: SIGNED

This project aims at solving one of the most urgent riddles in particle astrophysics: how neutrinos affect the physics of spectacular cosmic fireworks in the death of massive stars as core-collapse supernova explosions and in the merger of two neutron stars or a neutron star and a black hole. Neutrinos are feebly interacting particles copiously produced in these dense sources. Neutrinos exist in three different kinds, or flavors, and have the fascinating property of changing their flavor while propagating (flavor conversion). Because of the high density of neutrinos in the core of supernovae or compact binary mergers, flavor conversion becomes a non-linear phenomenon, whose understanding is quite preliminary. In particular, a fully multi-dimensional solution of quantum transport of neutrinos is lacking, halting any assessment of the implications and phenomenology of flavor mixing. I propose the ambitious ANET (Advanced NEutrino Transport) project to: 1. develop an innovative approach to tackle neutrino transport in the presence of flavor conversion in multi-dimensions including all the relevant microphysics, for the first time; 2. pioneer a conclusive evaluation of the yet poorly explored impact of neutrinos in dense sources; 3. unravel the relevance of neutrino mixing with respect to other astrophysical unknowns. Numerical simulations buttressed by analytic diagnostic methods will be employed to radically advance our understanding. ANET promises to have profound implications on fundamental physics, the origin of the heavy elements, as well as our comprehension of the behavior of matter at extreme densities and the physics of neutrino-dense sources.

Keywords: neutrino flavor conversions,neutrino self interactions,core collapse supernovae,compact binary mergers,supernova mechanism,nucleosynthesis of the heavy elements
Boosting innovation agencies for bioeconomy value chains (BIOBoost)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Denmark,Poland,Lithuania,Slovenia,Spain,France,Finland
Call: Towards more inclusive networks and initiatives in European innovation ecosystems (HORIZON-EIE-2022-CONNECT-01, 2022)
Start date: 2023-02-01
End date: 2025-01-31
Duration (months): 24.0
Total project cost (EUR): 500000.0
EU funding (EUR): 500000.0
Participants: 8
Project status: CLOSED

The overall objectives of the BIOBoost project are to increase the latent potential of the participating innovation agencies, to learn from leading innovator regions, and to cement this knowledge and experience in the organisations, building and expanding networks, expanding the cooperation and enlarging the participation of more diverse innovation stakeholders and territories to existing successful initiatives in the bioeconomy, including agri-food, forestry, bio-based chemicals, materials and products, and bioenergy. The partnership will implement a range of activities via peer-to-peer learning, including study visits and staff exchanges, to develop closer relationships within the partnership, and with the wider regional innovation ecosystems, as well as to learn improved innovation support measures. These will be cemented via operational work to build and develop innovation ecosystems and SMEs via hackathons and challenges (160 organisations involved), by providing direct SME support on innovation management (24 cross-border KAM cases), and helping widening country SMEs towards financing of innovation projects (50+ cases). Over 450 SMEs will be engaged with during the implementation of the project, which will include active cooperation with 20 other innovation ecosystems. BIOBoost connects 7 homogenous EU regions in terms of similarities of RIS3 and S3 Platform synergies related to bioeconomy and digitalisation. The multidisciplinary partnership has been strategically selected, to work in an inclusive and interactive bottom-up process, to discover potential new activities, and identify new opportunities that emerge from this interaction. Despite the homogeneity in terms of regional smart specialisation, the consortium consists of partners with a wide variety of complementary skills and experience, covering a wide geographical area and with considerable economic, social and environmental differences.

Keywords: hackathons,challenges,staff exchange,study visit
Smart Implant for Magnetic Anastomotic Healing and Leakage Evaluation (SMARTHEAL)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Ireland,Italy,Netherlands
Call: Transition Open 2024 (HORIZON-EIC-2024-TRANSITION-01, 2024)
Start date: 2025-05-01
End date: 2027-10-31
Duration (months): 30.0
Total project cost (EUR): 2885171.95
EU funding (EUR): 2499815.52
Participants: 4
Project status: SIGNED

Colorectal cancer affects over 1.93 million people worldwide each year. In most cases, surgery to remove the tumour is necessary, and intestinal continuity is restored through an anastomosis. However, a serious complication, known as an anastomotic leak, occurs in up to 20% of procedures. This complication is associated with high mortality rates, frequent re-interventions, prolonged hospital stays, increased healthcare costs, and a reduced quality of life. Despite decades of research, the incidence of anastomotic leaks remains high, largely due to poor healing and delayed recognition. Leveraging outcomes from the FET Open project '5D NanoPrinting', and EIC Project 'IV-Lab', Trinity College Dublin and the Istituto Italiano di Tecnologia, in collaboration with Plio Surgical and Amsterdam UMC, aim to integrate the results of micro-sensor and nano-printing technologies into a disruptive smart magnetic anastomosis implant. This innovative implant will offer both healing and sensing capabilities, monitoring physical and chemical parameters that signal inflammation and edema at the anastomosis site. The SMARTHEAL project will advance this technology from TRL 3 to TRL 6 by embedding micro-sensors within the implant to detect key markers of anastomotic leaks. These sensors will be integrated with wireless electronics to transmit real-time data on healing biomarkers, with the implant’s accuracy demonstrated in pre-clinical models. SMARTHEAL represents a groundbreaking advancement, being the first implant to simultaneously enhance healing and enable early leak detection. This innovation has the potential to significantly improve surgical outcomes and reduce healthcare costs globally. It offers a substantial commercial opportunity for Plio Surgical, which aims to undertake the clinical and regulatory activities to bring this technology to market.

Keywords: ultrathin film nano printing magnetic compression anastomosis real time anastomotic leak detection wireless implantable microsensors minimally invasive surgery innovation
Hybrid quantum-classical neural networks for the characterization of noisy intermediate scale quantum computers (HyNNet NISQ)

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: Germany,Switzerland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-11-30
Duration (months): 27.0
Total project cost (EUR): 218666.88
EU funding (EUR): 218666.88
Participants: 2
Project status: SIGNED

The objective of HyNNet NISQ is to develop tools based on hybrid quantum-classical algorithms for the characterization and measurement of quantum states prepared on near-term quantum computers. Currently available quantum devices can perform computations that are challenging for classical computers. However, applications of quantum computers in science and economy require a further development of quantum hardware and algorithms. One of the major challenges is the measurement and characterization of quantum states produced as an output of quantum algorithms. Standard diagnostic techniques have become limited due to the quickly increasing system size and complexity of quantum devices. Here I will integrate adaptive quantum algorithms with classical artificial neutral networks to design hybrid quantum-classical neural networks. Employing machine learning techniques, I will train the hybrid neural networks to identify underlying characteristics of quantum states. I will develop characterization and measurement tools required for the simulation of condensed matter physics and quantum chemistry on near-term quantum computers. First, I will investigate how to design and train hybrid neural networks to recognize quantum phases of matter, focusing on strongly correlated systems and topological order. Second, I will study how to exploit hybrid neural networks to reconstruct the full quantum state describing all properties of a quantum system. I will use this technique to efficiently measure quantities required for condensed matter physics and quantum chemistry simulations. The hybrid neural networks developed here can be readily realized on near-term quantum computers. Therefore, they will provide key tools for the development of quantum algorithms and next-generation quantum hardware. I (Dr. Petr Zapletal) will carry out the proposed research with the input and advice from Prof. Christoph Bruder (University of Basel) and Prof. Michael J. Hartmann (FAU Erlangen-Nuremberg).

Keywords: nisq computers,quantum phase recognition,quantum measurements,quantum state tomography,variational quantum algorithms,quantum machine learning,neural networks
Ecological memory and extinction debt: soil biota responses to land use legacies (SOILEX)

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: Finland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 242116.8
EU funding (EUR): 242116.8
Participants: 1
Project status: SIGNED

The impact of land use change on various organisms, including plants, birds, mammals, amphibians, and arthropods, leading to local extinction debt, has been widely recognized. With the rapid transformation of landscapes due to agriculture, it is essential to assess the delayed response of soil organisms to these changes, known as the extinction debt. The concept of extinction debt suggests that a species may initially survive habitat changes but could eventually become extinct without further modification to its habitat. While it is known that land use can have lasting effects on soil properties and microbial communities, specific research on extinction debts in soil communities has been lacking. To address this gap, a comprehensive study will be conducted using data from over 1000 agricultural field sites in Estonia, including detailed land management information and molecular IDs of various soil-dwelling organisms. Cutting-edge analytical methods will be employed to evaluate the extent of ecological memory in soils, providing valuable insights for land managers and policymakers. This research aims to offer unique evidence of the impact of land use legacies on soil communities and identify the soil biota most vulnerable to land use changes. By integrating knowledge from agronomy, molecular ecology, community ecology, and soil biology, this interdisciplinary research seeks to understand how past land use legacies influence the current and future composition of soil organisms and, consequently, soil function.

Keywords: soil biota,metabarcoding,network analyses,multitrophic,monitoring,agroecology