Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Novel User-friendly Ultrasound Methods for Monitoring and Prevention of Cerebral Hypoxia (US-CHIMP)

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: Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-06-05
End date: 2025-06-04
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: CLOSED

A lack of oxygen in the human brain (cerebral hypoxia) can result in permanent neuronal damage. Cerebral hypoxia is prevalent in half of all critical ill patients, but poor health impedes research in the intensive care unit. High-altitude exposure (>2500 m) is associated with a lower pressure of oxygen and offers a unique setting to investigate hypoxia-driven changes in otherwise healthy individuals. Unfortunately, at present, non-invasive methods to quantify surrogates of cerebral hypoxia are either laborious and require high-skilled personnel or have large inter-/intra-observer variability and no clear cut-off values. A user-friendly, unambiguous, and accessible diagnostic tool is urgently needed for the monitoring and decision-making in the field and at the beside. US-CHIMP (UltraSound Cerebral Hypoxia Imaging for Monitoring and Prevention) aims to provide a proof-of-concept by combining volumetric US to measure optic nerve sheath diameter as a surrogate of intracranial pressure with wave intensity analysis from the internal carotid and vertebral artery as a surrogate of changes in cerebral oxygen delivery. In three work packages US-CHIMP builds the theoretical groundwork through simulation (WP1/WP2) and the first practical proof-of-concept through translation in an experimental study (WP3) in which human volunteers are exposed to mild hypobaric hypoxia. WP3 is performed in the terraXcube, an extraordinary environmental chamber of the Institute of Mountain Emergency Medicine at Eurac Research. US-CHIMP will provide accurate information about key clinical syndromes. The data is directly relevant to the management of conditions related to high-altitude hypoxia. Besides, many clinical conditions such as intracranial haemorrhage, brain injury and stroke present with elevated intracanal pressures and altered cerebral haemodynamics. Their management will be supported by an accessible and reliable non-invasive bedside monitoring that US-CHIMP aims to provide.

Keywords: ultrasound cerebral hypoxia high altitude acute mountain sickness
AI technologies for enhancing capabilities, greater efficiency and effectiveness for customs (CustomAI)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Civil Security for Society
Theme: Civil Security for Society
Destination: Border Management
Action type: Research and Innovation actions
Countries involved: Denmark,Spain,Türkiye,Romania,Switzerland,Luxembourg,France,Greece
Call: Detection and tracking of illegal and trafficked goods (HORIZON-CL3-2024-BM-01, 2024)
Start date: 2025-11-01
End date: 2028-10-31
Duration (months): 36.0
Total project cost (EUR): 4410426.98
EU funding (EUR): 3498360.95
Participants: 20
Project status: SIGNED

EU customs authorities are a cornerstone in the international trade landscape, playing a critical role in preventing the entry of illegal goods, safeguarding revenue, & ensuring the seamless flow of goods. Balancing these responsibilities is particularly challenging in today’s environment, where the volume of global trade continues to expand rapidly. Mitigating the entrance of illegal goods is becoming increasingly difficult, especially with limited human resources. Aiming to address these challenges, the CustomAI consortium has united its expertise and competences to develop an AI-toolkit that will reduce the number of false positives (situations where the cargoes like shipping containers or parcels have been selected for inspection despite not containing contraband). The proposed AI-toolkit will revolutionise customs operations by involving non-intrusive and robust AI-enhanced technologies for predicting, detecting, and selecting high-risk cargoes for inspection. The VCCO concept is adopted for managing all processes in the customs control of artefacts (e.g. container, parcel). Key components of the AI toolkit include: * AI-based risk anticipation relying on AI-analysis of internal knowledge in compilation with external multilingual data, including manifest and declarations. Only relevant cargos will be sent for inspection. * AI-enhanced vapour-based detectors implied only on the containers selected in the previous step. * AI-based x-ray for threat detection in containers applied on output of step two (the human inspection takes place only after this step). * Multimodal LLM Continual Learning model, which will have as input, x-ray and camera images, and will be trained on threat dataset composed of threat samples (x-ray and visual images of threat parcels) updated by customs. * Blockchain technology for secure data sharing & supply chain traceability. By adopting these cutting-edge technologies, the CustomAI toolkit is set to revolutionise customs operations.

Keywords: customs control,customs risk assessment,contraband detection,customs control management,automation,artificial intelligence,vapour screening,blockchain,cultural goods trafficking,
Healthier diets and sustainable improved aquafeeds for sea bass, as model of Mediterranean aquaculture species, through employing microbiomes for soya production (HOP-ON M4SOY)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: Austria,Spain
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 46.0
Total project cost (EUR): 526770.0
EU funding (EUR): 526770.0
Participants: 2
Project status: CLOSED

Microbiomes are essential for life on Earth, playing a key role in food systems by enhancing plant growth and health, and providing sustainable protein sources. The EU’s FOOD 2030 initiative emphasizes developing protein alternatives to promote plant-based diets. The MICROBIOMES4SOY project uses soybeans as a proof-of-concept to explore microbiome pathways. Soybeans, with their high protein content and ideal amino acid profile, are increasingly cultivated in Europe. However, expanding cultivation requires addressing climatic challenges, improving plant stress resilience, and reducing fertilizer and pesticide use. Aquaculture is crucial for food security, and sustainable practices are needed to make European aquaculture more competitive, such as replacing fishmeal with alternative protein sources, supporting also a beneficial human gut microbiome. Soybean meal is a common fishmeal alternative in aquafeeds due to its high protein density and favourable amino acid profile. However, issues like palatability and antinutritional factors limit its use, especially for carnivorous fish. Processing strategies like fermentation can reduce these factors, enhance protein content, and improve feed intake. The MICROBIOMES4SOY project addresses these challenges, focus on a blue fish, salmon (Salmo salar). MICROBIOMES4SOY HOP ON project aims to extend findings to Mediterranean aquaculture, particularly a white fish extensively cultivated in Europe, sea bass (Dicentrarchus labrax) developing novel aquafeeds coming from microbiome enhanced crops with high soy protein content, using fermentation to improve fish performance and gut health, ultimately creating healthier and more sustainable diets

Keywords: soya,sea bass,microbiome,fermented
Developmental and evolutionary origins of the language of thought (ThoughtOrigins)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 1499558.0
EU funding (EUR): 1499558.0
Participants: 1
Project status: SIGNED

How do human infants and non-human animals think? Fodor famously framed the idea that human minds operate in a language-like format, a “language of thought” (LoT), where mental representations compose in the manner of formal language symbols, allowing us to build arbitrarily complex mental structures out of a small set of initial primitive operations. Through all areas of cognitive science, there has been rich evidence supporting the idea that a LoT could explain many facets of human cognition. Do infants and animals also have a LoT? While the existence of a LoT in the absence of language has been questioned for centuries by philosophers, psychologists and linguists alike, little direct behavioral evidence has been offered for it and these investigations have mainly been confined to close relatives of humans (i.e., great apes). The overarching goal of this project is to adopt a broad comparative approach to study the developmental and evolutionary origins of the LoT. Our approach is at the intersection of linguistics and psychology: we identify the primitive operations of thought from formal semantic principles and operations realized in language, and empirically test them in human adults and infants, baboons (Papio papio), and honeybees (Apis mellifera). We study the computational architecture of the LoT of infants and animals, starting from their ability to perform simple computations using only a few symbols to the more complex abilities to use functional operators, such as logical connectives, quantifiers and modals and to apply pragmatic operations. The outcome of this project will be an unprecedented cartography of possible LoT primitives, and of where they are found in human ontogeny and animal phylogeny.

Keywords: language of thought semantic universals animal semantics
Pacing with Digital Twins of Brainstem Neuronal Circuits as an Effective Therapy for Chronic Cardiac Disease (CResPulse)

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: United Kingdom,Austria,Czechia
Call: Transition Open 2024 (HORIZON-EIC-2024-TRANSITION-01, 2024)
Start date: 2025-06-01
End date: 2028-05-31
Duration (months): 36.0
Total project cost (EUR): 2469280.71
EU funding (EUR): 2469280.71
Participants: 3
Project status: SIGNED

Small neural networks known as central pattern generators (CPG) are now established as an effective therapy for unmet chronic cardiorespiratory disease such as heart failure. This approach restores the natural heart rate variability driven by neuronal sympathic/parasympathic tone and the adaption and synchronization of heart chamber timings to physiological feedback that is lost in disease or with age. Our technological breakthroughs consist of a 3-lead neuronal pacemaker emulating the brainstem circuits generating vagal tone and a nonlinear programming method (RPDA) training these circuits to restore the correct pacing adaption to changes in breathing, arterial pO2, and blood pressure. This EIC transition project will translate our 3-lead adaptive pacing (PM) and cardiac biventricular resynchronization (CRT) technology from its successful proof-of-concept in acute trials and chronic small animal models of heart failure (TRL4) to a miniaturized solution which is compliant with CE mark certification and EMA requirements for Phase 1 human trials (TRL6). In the process, the technology will be matured, integrated and its safety improved under strict quality control. Large animal trials will be conducted over a period of 3 months follow-up with our PM-CRT to demonstrate reversal of adverse cardiac remodelling by new top-on-care treatment for heart failure. Animal trials will be extended to acute and chronic arrhythmias, caused by atrial fibrillation, to demonstrate new therapeutic option for diverse cardiac arrhythmias, validate medical hypotheses and broaden impact. Project outcomes will be incorporated in a subsidiary of Ceryx Medical, a spin-off of UBAH. Investment readiness will be achieved through the delivery of a business plan incorporating market feedback, mapping the reimbursement landscape by healthcare providers, delivery of an IP strategy, quality control leading to a completed GSPR checklist, entrepreneurship, dissemination, and human trial plans.

Keywords: bioelectronic medicine,data assimilation,chronic cardiorespiratory disease,neuromorphics
Markov Chain Monte Carlo using couplings toward scalable statistical inference (UMCMC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

This project develops a statistical toolbox for the approximation of probability distributions that commonly arise in data analysis. The problem of approximating probabilities arise in many tasks of data science: in Bayesian statistics and its many variants, in classical hypothesis testing with p-values, in likelihood-based methods when the model involves latent variables, in models with intractable likelihoods, in the construction of knockoffs for principled variable selection, for example. State-of-the-art methods for such approximations include Markov chain Monte Carlo (MCMC), where a Markov chain is generated in such a way that it converges to the probability of interest as the length of the sequence goes to infinity. This stands at odds with modern developments in computing hardware, which provide an increasing number of parallel processors, but where each process has a stagnating clock speed. Methods that are amenable to parallel computing must emerge to help scientists in all fields to make the most of their data. The project builds upon a framework called Unbiased Markov chain Monte Carlo (UMCMC), in which accuracy improves arbitrarily with the number of parallel runs. Each run involves the generation of coupled Markov chains for a random time horizon. Part 1 develops UMCMC to realize its potential as a comprehensive basis for probabilistic computation on modern hardware. The project includes theoretical analyses of cost and measures of efficiency, and methodological innovations towards adaptive, efficient, robust and convenient computation. Part 2 contributes to the applicability of UMCMC, by conceptualizing the design of coupled Markov transitions, and considering a number of challenging settings: distributions supported on submanifolds and their application in economics, distributions on graphs and their applications in the fight against malaria, and Bayesian nonparametric models for cell type deconvolution from transcriptomics data.

Keywords: monte carlo numerical integration probability coupling parallel computing
Breaking frontiers in long-term, high-frequency monitoring of sediment dynamics across Europe (EUsed)

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: Belgium,Netherlands,Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 191760.0
EU funding (EUR): 191760.0
Participants: 3
Project status: CLOSED

A proper understanding of sediment transport is extremely important in many areas of engineering and socio-economic development. On time scales of months to years, the knowledge of where sediment accumulates could save billions of dollars on annual port dredging and beach nourishment. On length scales of deltas, estuaries and coastal zones, such knowledge plays a crucial role for decision-makers to govern the development of a country or region. Unfortunately, high-fidelity, long-term in situ data of sediment transport, particularly suspended particulate matter concentration are often unavailable and/or unreliable. Hence, this project aims to propose a novel approach to reduce the calibration effort and improve the accuracy of long-term, high-frequency in situ measurements. This project will integrate field and laboratory studies to demonstrate that combination of at least one pair of optical and acoustic (O/A) sensors will help to “see” the mud better and “hear” the sand better, which in turn allows us to comprehensively reproduce detailed information of suspended sediment concentration profile in a river, estuarine or coastal zone. Field measurements help to provide input of the boundary conditions for the experiments, whereas the experiments help to isolate variables in order to decipher the behavior of O/A signals that occur in nature. This project will 1) enhance understanding of O/A signals behaviors under similar and different environments, 2) derive empirical functions from field and lab data to describe the ratio of O/A signals as a dependent variable of environmental characteristics and 3) test the functionality and efficiency of the empirical functions, obtained above, with field data collected from different parts of Europe. The primary intellectual merit of this project will be a guideline for water agencies and local authorities throughout Europe and the world to improve their performance in long-term, high-frequency monitoring of water quality.

Keywords: sediment dynamics,suspended particulate matter concentration,optical acoustic measurements,long term monitoring
Photonic molecule microcombs (H2Microcomb)

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: Sweden
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

Frequency combs are remarkable photonic devices for precision frequency synthesis and metrology. The core technology behind conventional frequency combs is a mode-locked laser. Today, so-called microcombs constitute an alternative for the generation of a frequency comb on a chip-scale microresonator. Microcombs have a frequency separation between lines that is orders of magnitude larger than standard mode-locked lasers. The combination of small footprint and large line spacing is opening up entirely new scientific and technological opportunities, one of the most prominent ones being optical communications. However, one outstanding problem with microcombs is their fundamentally limited power conversion efficiency, which hampers the potential applications of this otherwise promising technology. In my ERC CoG DarkComb, we have overcome this issue by developing an innovative arrangement of linearly coupled microresonators implemented with an original silicon nitride fabrication process that features ultra-low optical losses. The aim of this ERC PoC is to conduct a yield analysis of our technology, investigate the freedom to operate and pursue a rigorous market evaluation. These results will form the basis for the development of a sound business strategy upon the conclusion of the project.
Vehicles and VRU Virtual eValuation of Road Safety (V4SAFETY)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Research and Innovation actions
Countries involved: Netherlands,Germany,Sweden,Spain,France,Belgium,Italy,Austria
Call: Predictive safety assessment framework and safer urban environment for vulnerable road users (HORIZON-CL5-2022-D6-01, 2022)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 4157990.08
EU funding (EUR): 4157987.0
Participants: 18
Project status: SIGNED

In order to set policies for road safety in the coming decades and push for Vision Zero, an accepted and reliable method for the comparison of safety measures for CCAM is needed. The proposed method will deal with the safety of all road users, from vulnerable road users to vehicle occupants. V4Safety will provide a prospective safety assessment framework that can handle a large variety of safety measures, ranging from in-vehicle safety technology, new vehicle types, infrastructure solutions to regulations that influence road user behaviour. It includes methods to project the results in future scenarios and over EU regions for use by policy makers, authorities and consumer organizations. V4Safety strives for comparability of results of safety studies by not only providing the framework but also guidelines for using it. The guidelines show how to select, configure and connect relevant human, vehicle and environment models; how to select a baseline approach and how to project to a conclusion to different regions of interest in the EU. Moreover, the framework will also allow projections for future scenarios, incorporating possible changes in the mobility system. To understand differences between studies and to understand the influence of underlying data, assumptions and models, the method provides tools to characterise the influence of the determinants. Combined with a well-defined baseline approach – what to compare to? - the resulting transparency and consistency in simulation-based safety assessment leads to much improved comparability and reliability of assessment conclusions.

Keywords: safety,prospective,assessment,framework,measures,policy,authorities,type approval