Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Decoding Tinnitus: Unveiling the Socio-Psychological, Cognitive, and Brain Mechanisms (HISSING)

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: France,Canada
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 268025.28
EU funding (EUR): 268025.28
Participants: 3
Project status: SIGNED

Tinnitus disorder, often referred to as "ringing in the ears," is a disabling medical condition characterized by a subjective perception of sound without any external acoustic stimulus. It is linked with a range of psycho-social disturbances, including anxiety, depression, stress, irritability, concentration difficulties, and sleep disorders, resulting in behavioral changes and functional disability. Given the lack of effective drug treatments, comprehensive public health actions are needed. First, prevention requires the identification of risk factors predicting tinnitus onset and associated distress. Secondly, improving tinnitus clinical management depends on identifying factors predicting the worsening, stability, or improvement of tinnitus distress over time. Finally, understanding the mechanisms underlying tinnitus by integrating socio-psychological and cerebral aspects is crucial to better address this pathology and provide leads to find treatments. We will address the methodological limitations typically associated with small datasets using two complementary datasets. The UK Biobank provides information on the socio-economic background, the physical and mental health of 500,000 participants with longitudinal assessments. The Audicog dataset ensures high precision in hearing and cognitive evaluations on 300 participants with or without tinnitus. We will use machine learning technics on the UK Biobank data to identify i) the socio-demographic, psychological, cognitive and health related factors predicting tinnitus apparition and evolution over time. The validity of those risk factors will be tested during a clinical study performed in a tinnitus clinic. We will also determine ii) the cerebral patterns associated with tinnitus using machine learning algorithm. We will explore the links between the cerebral patterns and the sociopsychological, auditory, emotional and cognitive factors with the Audicog dataset to establish an integrative model of tinnitus.

Keywords: diagnostic and therapy of tinnitus,tinnitus distress,big data
Therapeutic Effect of Nanobots in the Treatment of Joint Diseases (OrthoBots)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2024-11-01
End date: 2026-04-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Arthritis, a widespread inflammatory condition, affecting millions globally, necessitates urgent advancements in therapeutic approaches. Predominantly characterized by osteoarthritis (OA), this debilitating condition causes joint pain and stiffness, notably impacting the knee, hand, and hip joints. OA, a chronic degenerative disease, intensifies with age, imposing a significant economic burden on healthcare systems. The insufficiency of current treatments highlights the need for innovative therapies. Tissue engineering and regenerative medicine offer promising avenues, with platelet-rich plasma therapy (PRP) emerging as a forefront contender. PRP harnesses the regenerative potential of growth factors (GFs) to stimulate tissue repair processes, particularly in cartilage and bone cells. However, clinical application faces hurdles, notably the rapid degradation of GFs within the intricate synovial fluid (SF) environment, limiting their therapeutic efficacy and distribution. To overcome these challenges, scientists explore advanced drug delivery systems utilizing nanoparticles (NPs) as carriers. Although promising, passive NPs diffusion through viscous biological barriers, such as joint fluids, remains a significant obstacle. In response, OrthoBots introduces enzyme-powered NPs, termed nanobots, as active carriers of GFs within SF. By utilizing enzymatic propulsion, nanobots aim to enhance GF transport and distribution, facilitating targeted cartilage regeneration. This innovative approach holds transformative potential, potentially revolutionizing arthritis therapy by overcoming current limitations and offering more effective and personalized treatment strategies. Through systematic in vitro studies and in vivo proof-of-concept demonstrations, OrthoBots will pave the way for the next generation of arthritis therapeutics, addressing the unmet clinical needs and improving patient outcomes.
Digital and innovative mine of the future (DINAMINE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Innovation actions
Countries involved: Portugal,Spain,Norway,Slovenia,Italy,Netherlands,Greece
Call: Sustainable and innovative mine of the future (IA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 11537719.58
EU funding (EUR): 8685286.07
Participants: 13
Project status: SIGNED

Although raw materials are of strategic importance for the European economy in key exponentially growing value chains such as the energy transition where Europe should strengthen its resilience, independence, and competitiveness, European mining operators fail to meet the demand, as they suffer from low productivity, poor waste management, resource-intensity and the consequent environmental impacts. To meet the ever-increasing demand and negative market prospects, while mitigating the environmental and societal impacts, the mining industry needs a drastic transformation. In this context, DINAMINE aims to demonstrate a holistic mine management approach, based on (i) artificial intelligence-based data analytics tools for real-time mine-to-port monitoring of the risks, performance, environmental footprint, maintenance needs, product quality and recovery rates, (ii) machine automation and robotization strategies to enhance safety and productivity, (iii) on-site studies to identify best practices for carbon neutral logistics/transportation, more energy-efficient processing, and waste/tailings handling and valorisation. Our goal is to propose tools that enable a smarter, more efficient, more selective, safer and more sustainable mining industry, with a specific focus on European SMEs. Technologies developed will be upscaled and tested, and studies performed in 2 small-medium scale European mining operations: one open-pit feldspar mine (Portugal), and one underground graphite mine (Norway) and their associated processing plants. The project is brought forward by a high-level industry-led multidisciplinary consortium of 11 partners from 6 European countries, including 3 research institutes, and 6 industries (including 4 SMEs). Via increased selectivity and productivity, DINAMINE will bring several impacts for EU and global mines, helping them to improve their IRR and ultimately contribute to an increase in EU raw materials security of supply.

Keywords: geology,mining,artificial intelligence,digitisation,automation,exploration,exploitation,processing,reclamation,mine,raw materials
ILIMITED first-ever Ionic LIquid sorbent Methanol synthesis In order To Enable over 80% yielD (ILIMITED)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Research and Innovation actions
Countries involved: Slovenia,Greece,Spain,Germany,Italy,Portugal,Switzerland
Call: Emerging energy technologies for a climate neutral Europe (HORIZON-CL5-2024-D2-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 2497753.75
EU funding (EUR): 2497753.75
Participants: 7
Project status: SIGNED

ILIMITED proposal targets the first-ever ionic liquid sorbent methanol synthesis enabling over 80% yield production thanks to a high selective encapsulation technology for creating an unique long-term energy storage integrated process due to the decentralized conversion of CO2 sources through an accurate 3D-printing reactor technology. ILIMITED proposes a breakthrough integrated system that encompass several key technological advances (KTAs): KTA1| High selective thermo-catalytic methanol synthesis reaction system through in-situ product removal by ionic liquid able to increase current SoA maximum yield (60%) to over 80%, KTA2| Catalyst encapsulation for the fouling and poison prevention of the Cu/ZnO/Al2O3 catalyst will allow the gas to diffuse over the catalyst while avoiding direct contact with ionic liquid, leading to a efficient and stable operation of methanol synthesis and KTA3| a 3D-printed fluid guiding reactor able rise up to 5-15% the total conversion in the reactor, circumventing the thermodynamic limitations thanks to the maximization of the fluid contact through the above the SoA micro-channels ad-hoc designed for the reactor. Based on advantages, the technology has an upper hand against the conventional methods also in utilizing local small scale CO2 sources, avoiding high heat exchange duty and allowing operation at lower pressures. ILIMITED targets the use of this technology in WWTP as possible future biorefineries, enabling long-term energy storage and fuel production while providing a source of methanol for use in denitrification. By utilizing carbon dioxide from biogas, the potential for energy storage is enormous as the anaerobic digestion (AD) sector grows. With 21 million tons of CO2 per year from AD sources available by 2030, the readily available energy from produced e-methanol is estimated to be over 65 TWh, which is a large contribution to a stable energy supply compared to the average monthly electricity consumption (220 TWh).

Keywords: decentralized conversion of co2 e methanol encapsulation chemical energy storage wwtp co2 valorization ionic liquids co2 carbon negative technologies 3d printed reactor machine learning
Covalent chiral functionalization of graphite for enantioselective applications (SURF-CHIR)

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: Belgium
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 191760.0
EU funding (EUR): 191760.0
Participants: 1
Project status: SIGNED

An object, or a molecule is said to be chiral if it can be distinguished from its mirror image. Chirality plays an important role in many areas of chemistry, biology, and physics. Many chemical processes involving solid surfaces such as catalysis, crystallization, adsorption, and so forth, are sensitive to chirality. Thus, surfaces are not fertile playground studying chirality, but they can also be used to promote the separation of mirror-image molecules, i.e., enantiomers, due to additional constraints created by the two-dimensional (2D) environment. Because of the reduced symmetry at the interface, these constraints enhance the expression of molecular chirality, allowing not only chiral molecules, but also prochiral molecules to produce chiral superstructures. Even so, recognition processes based on non-covalent interactions could be used to separate enantiomorphs in 2D systems. This new method could be used to resolve racemic mixtures. In this project, nanoconfinement conditions created using scanning probe nanolithography will reveal how the shape and size of the confinement, as well as the nanolithography process itself, affect the chirality of on-surface crystallization processes. Robust chiral surfaces will be created using covalent functionalization of graphite and applied for enantioselective separation. Also, bulk chiral graphitic materials will be synthesized and used as stationary phase in chiral chromatography. SURF-CHIR will allow me to pursue a highly innovative research line in surface science, providing me a perfect platform for my personal development in terms of research and training in a topic of key importance, i.e., chirality, and state-to-the-art imaging techniques. This project will also allow me to strengthen my team-working and leadership skills as well as widen my scientific network and collaborations. In summary, this MSCA grant will be a positive turning point in my academic career towards scientific excellence.

Keywords: scanning tunneling microscopy,surface chirality,nanoconfinement,self assembly,covalent modification
Unraveling the network that controls the fate of RNA Polymerase II during early elongation. (STOP-OR-GO)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Netherlands
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): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

The repertoire of messenger RNAs (mRNAs) in a cell dictates cell identity and function. Therefore, mRNA expression is tightly controlled. A previously underappreciated regulatory step is early transcription termination, which can abort the synthesis of full-length mRNAs. The early termination of many non-coding RNAs prevents transcriptional interference and genomic instability. Thus, cells need to correctly balance early termination and productive elongation at both coding and non-coding loci. Why elongation is favoured at some loci, and termination at others, is poorly understood. To understand how the balance between elongation and termination is achieved, we need to know what sequence elements and proteins are involved, and how they work together. These regulatory sequences and proteins have not been systematically identified. Using INSERT-seq, I have identified novel candidate regulators that I will study here in more detail. The same reporter setup will be adapted to identify novel trans-acting regulators of the elongation/termination balance. These approaches act synergistically to uncover the network of regulators. I will then apply a combination of unbiased and hypothesis-driven experiments to understand the mechanisms of regulation. We will also focus on understanding how early termination is promoted by ZC3H4 (Restrictor), a recently identified suppressor of non-coding RNAs. The work proposed here will uncover the principles that decide if transcription of a locus will terminate early, an essential step towards fully understanding transcription regulation. Knowing the sequence and protein regulators that determine the fate of early elongating RNAPII will open opportunities to study how disease mutations affect their function. Moreover, understanding the control of this elongation/termination balance will also provide us with tools to manipulate this balance. This will improve our ability to design sequences for optimal transgene expression in gene therapy.

Keywords: transcription productive elongation early termination mrnas non coding rnas sequence motifs zc3h4 tss proximal pausing metazoan
Personalized priors: How individual differences in internal models explain idiosyncrasies in natural vision (PEP)

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: Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1484625.0
EU funding (EUR): 1484625.0
Participants: 1
Project status: SIGNED

In the cognitive and neural sciences, the brain is widely viewed as a predictive system. On this view, the brain conceives the world by comparing sensory inputs to internally generated models of what the world should look like. Despite this emphasis on internal models, their key properties are not well understood. We currently do not know what exactly is contained in our internal models and how these contents vary systematically across individuals. In the absence of suitable methods for assessing the contents of internal models, the predictive brain has essentially remained a black box. Here, we develop a novel approach for opening this black box. Focusing on natural vision, we will use creative drawing methods to characterize internal models. Through the careful analysis of drawings of real-world scenes, we will distill out the contents of individual people’s internal models. These insights will form the basis for a comprehensive cognitive, neural, and computational investigation of natural vision on the individual level: First, we will establish how individual differences in the contents of internal models explain the efficiency of scene vision, on the behavioral and neural levels. Second, we will harness variations in people’s drawings to determine the critical features of internal models that guide scene vision. Third, we will enrich the currently best deep learning models of vision with information about internal models to obtain computational predictions for individual scene perception. Finally, we will systematically investigate how individual differences in internal models mimic idiosyncrasies in visual and linguistic experience, functional brain architecture, and scene exploration. Our project will illuminate natural vision from a new angle – starting from a characterization of individual people’s internal models of the world. Through this change of perspective, we can make true progress in understanding what exactly is predicted in the predictive brain.

Keywords: predictive processing,internal models,natural vision,scene perception,visual cortex,drawing,fmri,eeg,deep neural network models,representational similarity analysis
Evolution of T cell reactivity against somatic mutations across human colon cancer stages with single-cell genomics and synthetic T cell specificity screening (T-REaCT)

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,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-01
End date: 2028-01-31
Duration (months): 24.0
Total project cost (EUR): 217076.16
EU funding (EUR): 217076.16
Participants: 3
Project status: SIGNED

Cancers are characterized by the accumulation of somatic mutations in the DNA. The human immune system can detect such mutations in cancers via T cells, which forms an important factor in the activity of clinically used cancer immunotherapies. What challenges our classic view of cancer formation are the recent breakthrough discoveries showing that somatic mutations are ubiquitously found in healthy tissues - why only some of these mutations lead to clonal outgrowths and what are the factors sustaining them? As T cells recognizing somatic mutations are abundant in cancer, it is plausible to speculate these interactions could start early in tumor evolution. Albeit of high interest, studying this phenomenon has been technically challenging as it requires the ability to obtain mutational data at single-cell resolution and interrogating T cell specificities. The T-REaCT action aims to experimentally map the co-evolution of T cells and cells carrying somatic mutations across tumor evolution. By combining two novel sets of tools and expertise from two competitive fields of synthetic T cell reactivity screening (mentor Dr Schumacher, Netherlands Cancer Institute, the Netherlands) with single-cell genomics (co-mentor Dr Landau, Weill Cornell Medicine and New York Genome Center, the US), we will create a roadmap of immune responses in human colon samples ranging from healthy tissue to adenomas to overt cancer. By describing the formation of T cell reactivity against somatic mutations from pre-malignant to the earliest steps of malignant seeding, our project has the potential to revolutionize early cancer detection and the eradication of (pre-)malignant lesions through personalized immunotherapies.

Keywords: tcr,tcr specificity,cancer immunology,single cell genomics
Zero-loss Energy harvesting Using nanowire solar cells in Space: Hop On (ZEUS HopOn)

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: Sweden,Greece
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 45.0
Total project cost (EUR): 550250.0
EU funding (EUR): 550250.0
Participants: 2
Project status: CLOSED

The ZEUS project is focused on advancing the development of innovative, highly efficient and radiation-resistant nanowire solar cells designed for in-orbit solar energy collection. Triple junction nanowire cells with a carefully selected set of III-V semiconductor materials are envisioned, promising a significant improvement in efficiency. We propose to support the development of highly efficient nanowire solar cells using theory and simulation of the optical absorption and electronic transport of the devices. This is expected to speed up the development cycles, and help to gain a better understanding on critical issues, like nanowire surface passivation, and improve voltage and current matching of the solar cell. One of the goals of the ZEUS project is to use the electronic properties of III-V-based nanowires for improved wireless power transmission in space. Efficient antennas for microwave transmission is a critical component to achieve this goal. The new partner will assist the ZEUS consortium in the design of antennas and antenna arrays compatible with the improved electronics that will be developed in the project. The effort of the ZEUS consortium could greatly benefit from theoretical support while the new partner NCSR“D” has long experience in photonics, electromagnetic simulations, solid state theory, and antenna design to support the project.

Keywords: opto electronic modelling,high efficiency photovoltaics,space applications,wireless antenna modelling,antenna design,nanowires,optical absorption