Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Synergizing enhanced radiotherapy with tumor-associated macrophages-targeted immunotherapy in glioblastoma with multimodal therapeutic nanoparticles (NanoImmunoRT)

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: France
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): 124957.44
EU funding (EUR): 124957.44
Participants: 1
Project status: SIGNED

In glioblastoma (GBM), intrinsic and environmental factors are limiting the efficacy of radiation therapy (RT) and immunotherapy. These factors include intrinsic cancer cells resistance, hypoxia, and the presence of immunosuppressive cells such as tumor–associated macrophages (TAMs). Considering these current limitations for RT efficacy and the specific deleterious role of TAMs in GBM, I designed an original therapeutic strategy combining enhanced RT and TAMs reprogramming with toll-like receptors (TLRs) agonists to synergize direct cytotoxicity to tumors cells at low radiation doses with immunotherapy for both local and recurrent tumor rejection. For this, I will use relevant radio-sensitizing moieties for GBM: high Z atoms which can efficiently absorb, scatter, and emit radiation energy and catalase, an enzyme capable of converting H2O2 to oxygen in the tumor microenvironment (TME). It will be simultaneously applied with the combination of the TLRs agonists poly(I:C) and resiquimod, which will be used to re-educate TAMs and prepare the TME to a strong anti-tumoral immune response. The selected molecules will be incorporated in a new Multimodal Therapeutic NanoParticle (MTNP), based on a nanosized zeolite structure, allowing to combine the two approaches in a unique particle. The MTNPs will be tested in vitro and in vivo in murine model of GBM and patient-derived samples, to verify their effectiveness in enhancing RT and reeducating TAMs, and their effect on tumor growth. The present multidisciplinary research program aims at supporting greater progress in the treatment of brain tumors and ultimately leading to improved outcomes for cancer patients.

Keywords: glioblatoma nanosized zeolites tumor associated macrophages tlrs agonists radiosensitizers hypoxia immunogenic cell death
The Delta of Language (DELTA-LANG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Netherlands,Spain,Switzerland,Norway
Call: ERC Synergy Grants (ERC-2023-SyG, 2023)
Start date: 2024-06-01
End date: 2030-05-31
Duration (months): 72.0
Total project cost (EUR): 9939329.0
EU funding (EUR): 9939329.0
Participants: 5
Project status: SIGNED

Mental life fluctuates, changing from moment to moment as the incessant and turbulent flow of thought rages. In 3% of the world’s population, the fragile equilibrium that we all hope to maintain gives way to dynamical changes resulting in psychotic episodes, which after remission tend to recur over time. A capacity to predict them at a clinically relevant temporal resolution, similar to our capacity to forecast a thunderstorm, would be a major advance in public health, with the important difference that, unlike thunderstorms, psychosis can be prevented. We test a previously untested and untestable hypothesis: that meaning encoded in spontaneous speech, translated into digitalized quantitative features, computationally analyzed with natural language processing (NLP) tools, can serve as a key personalized and interpretable predictor of phase transitions from remission to psychotic relapse. Addressing this hypothesis requires conceptual and methodological breakthroughs in our understanding of language and what signals its variability can carry for a pathophysiological process. We pursue these with a synergetic combination of linguistic, neuroimaging, psychiatric, and e-health insights. Using a hypothesis-driven approach we will (i) define generalizable language metrics relating to symptom variability cross-sectionally; (ii) identify individually-specific neural signatures of psychosis and remission related to changes in these linguistic metrics, using a dense-sampling approach; (iii) test the metrics retrospectively as predictors of relapse in an independent longitudinal cohort; and (iv) take the paradigm from the lab to the patient’s home in a prospective clinical study testing whether we can predict state change before it is catastrophic, at the temporal resolutions clinically required. DELTA-LANG (ΔLANG) thereby identifies the delta of language – a linguistic change that enables the prediction of clinically significant change, before it occurs.

Keywords: language,speech,psychosis,relapse,fmri,clinical decision support system,thought disorder
Discovering neutrinos of extreme energies with the Radio Neutrino Observatory Greenland (PRO-RNO-G)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe Sciences
Panel description: Astro -physics/ -chemistry/ -biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

The discovery of neutrinos above energies of 1e16 eV promises to uncover: the unknown sources of ultra-high energy cosmic rays, new insights into astrophysics of these sources and particle propagation through the Universe, as well as new particle physics, at energies far higher than those accessible to man-made accelerators. The Radio Neutrino Observatory Greenland (RNO-G) is currently under construction and is scheduled to reach 35 stations in 2026. The in-ice radio array RNO-G is the first large-scale implementation of the radio Askaryan technique and will provide an order of magnitude better discovery sensitivity than existing experiments. Its construction and operation is led by me and two colleagues from the US and Europe. This proposal maximizes RNO-G’s potential to discover the long awaited ultra-high energy neutrinos. My research group will do this by enabling high-efficiency and high-purity neutrino searches in data through novel simulations with improved accuracy, high-precision instrument calibration, and the unique exploitation of cosmic ray signals as a training tool.

Keywords: neutrino astronomy,radio instrumentation,event identification,neutrino simulations,signal propagation,instrument calibration,high energy neutrinos,ultra high energy cosmic rays,cosmogenic neutrinos,detector development,trigger calibration
ExploDES: Exploration of the Diversity of European Solenogastres (Mollusca, Aplacophora) (ExploDES)

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: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

In the face of global biodiversity loss ExploDES “Exploration of the Diversity of European Solenogastres" emerges as vital endeavor. The accurate association of scientific names with species is paramount for reliable reference in biology, impacting phylogenetic studies, conservation efforts, and ecological research. ExploDES tackles key challenges in modern taxonomy with focus on Solenogastres (Mollusca). These challenges include providing empirical rigor to species hypotheses and accelerating species description. Solenogastres are unique marine molluscs with significant evolutionary and ecological importance. However, they remain poorly understood. ExploDES aims to bridge this knowledge gap and seeks to revolutionize their study through an integrative approach. With particular emphasis on species with a putative broad distribution (including the Mediterranean Sea and the Northern European Atlantic) the project's research questions dig on comparing traditional morphology-based species hypotheses with modern integrative taxonomy-based ones, evaluating distribution patterns, and understanding diversity drivers. Objectives include, enhance existing data by analyzing museum specimens and sampling new ones, analyze genetic differences between lineages, and investigate morphological evolution. As a pioneering effort in Solenogaster research, ExploDES stands as a model for modern taxonomy. The impacts extend far beyond the project's duration, offering lasting benefits as is poised to make a transformative contribution to the field of molluscan studies and to enhance the research aim to understanding of early molluscan evolution. The project will also advance our insight of Euorpean marine biodiversity. Beyond its scientific contributions, ExploDES findings will inform marine conservation policies and may serve as an indicator of the impacts of climate change. Moreover, ExploDES has the potential to foster public awareness and appreciation of marine ecosystems.

Keywords: taxonomy,species hypotheses,mollusca
Engineering phosphate solubilization microorganisms and deciphering the mechanism of phosphate solubilization during plant-microbe interactions (ePSM)

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: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: CLOSED

Phosphorus (P) is one of the major essential macronutrients required for plant growth and food production. Crop yield on 40%~60% of the world's arable land is limited by P availability. However, due to the high fixation capacity of soil and inactivation of the applied phosphorus in soil, immobilization and precipitation results in scarcity of available phosphorus to plants. Using phosphate solubilizing microorganisms (PSM) to promote plant growth can be a promising strategy for sustainable food production in the future. However, many studies have indicated that the mechanisms seen in vitro do not translate into improved crop P nutrition in complex soil-plant systems. There are still some challenging questions needed to be answered before using PSMs as effective biofertilizers in soil conditions. State-of-the-art approaches like the high-throughput screening method and metagenomic analysis should be encouraged to facilitate the PSM’s application. This project aims at identifying and engineering phosphate solubilizing microorganisms and deciphering the mechanism of phosphate solubilization during plant-microbe interactions. For example, 1) use a high-throughput method to identify PSMs; 2) screen more than 3000 bacterial strains and 400 fungal strains to decipher their taxonomy evolutionary relationships and investigate the specificity of PSMs in solubilizing different insoluble phosphates; 3) use mutant libraries screen and metagenomic analysis to explore the phosphate solubilizing mechanisms. 4) investigate how plant root exudates influence microbiome assembly in P-limiting conditions; 5) optimize synthetic phosphate-solubilizing communities to promote plant growth (Arabidopsis thaliana, Lotus japonicas) and food production (Glycine max) in P-limiting soil. The outcome of this project will provide new insight into nutrient-mediated regulation of plant-microbe interactions and facilitates the development of biofertilizers in the field of nutrient supply.

Keywords: microbiota,phosphate solubilizing microorganisms,metagenomic analysis,sustainable agriculture,food production
Handling with AI-enhanced Robotic Technologies for flexible manufactUring (HARTU)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Spain,Germany,Italy,Taiwan, Province of China,Türkiye,Netherlands
Call: Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5926987.5
EU funding (EUR): 5926987.5
Participants: 14
Project status: SIGNED

HARTU will provide the necessary tools to implement three basic stages of parts handling, i.e., grasping, assembly and releasing. These tools aim to address the key challenges for creating handling applications by means of innovative technical approaches: (1) self-supervised grasp and release planning policies identification and control; (2) to learn and control contact-rich assembly skills from human demonstrations; (3) to develop an AI-based multi-modal perception for visual-servoing and continuous monitoring in handling operations, supported by virtual and continuous learning; and (4) to develop versatile and dexterous soft grippers with electro-active fingertips. HARTU is an industry-driven research project that includes the deployment of technologies in 5 industrially relevant scenarios: 4 manufacturing lines in different sectors: automotive, household appliances, hand tool manufacturing and food processing, and 1 in logistics to validate that the technologies can be transferred to other sectors. They offer an enormous variability of products in terms of shape, material and sizes. This approach contributes to the (1) industrial objective of HARTU, i.e., to increase the flexibility, reconfigurability and efficiency of manufacturing lines through easy to integrate and configure, safe and reliable handling systems, supported by tools for application development and a reference architecture. It also contributes to the (2) social objective: to contribute to user acceptance and adoption, identification of skills development needs and compliance with the liability/legal and ethic aspects.

Keywords: grasping,assembly,planning,electroadhesion gripper,perception
A climatic or tectonic control on early primate dispersal? A new approach to investigate species dispersal in deep time (DISPERSAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1999773.0
EU funding (EUR): 1999773.0
Participants: 1
Project status: SIGNED

Recent studies show that the distribution of many modern terrestrial species can be explained by a handful amount of large-scale dispersals and that these episodes will likely become more numerous under climatic stress. However, the underlying mechanisms governing these dispersals remain nebulous. Long-distance dispersals across marine barriers, often referred to sweepstakes dispersals, have always been assumed to be an unpredictable process in which taxa overcome a geographic barrier in a random manner. Yet, there are many instances of dispersals across marine barriers that appear coordinated and non-random. New paleontological findings show that during a short time period marked by intense climate variations, 40 to 35 million years ago, Asian anthropoid primates and rodents crossed 500 km of Tethys Sea to reach Africa and 800 km of South Atlantic Ocean to reach South America. This proposal aims to build an empirical and theoretical basis for the origins and mechanisms of long-distance dispersals by resolving: how did primates and other mammals disperse across two major seaways? What are the external forcing mechanisms that make transoceanic dispersals non-random? This project proposes a combination of paleoclimatic, paleogeographic, and paleontological approaches to evaluate the mechanisms of species dispersal and diversification in deep time, applied to the early dispersal of anthropoid primates. This research will set the founding steps of a holistic method to evaluate the mechanisms of all dispersal events in deep time, allowing new interpretations about the modern, past and future distribution of species; it will additionally solve one of the biggest mysteries in paleontology, as this episode ranks among the most pivotal events during all of primate evolutionary history.

Keywords: biogeography,primate evolution,paleoclimate,tectonics
Go IT! (GOIT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Coordination and support actions
Countries involved: France,Latvia,Italy,Spain,Belgium
Call: Open Source Hardware for ultra-low-power, secure processors (CSA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 1993340.0
EU funding (EUR): 1993340.0
Participants: 7
Project status: TERMINATED

Europe's IT hardware development is constantly challenged by outrageously expensive development tools, legal constraints like NDAs or patents, lock-in threats, dependency from external vendors or supply chains and foreign political events. Europe’s digital infrastructure (from consumer to critical appliances) is heavily relying on foreign closed-source chips which are literally black-boxes which may (and have been proven to) contain malicious features. This situation makes the hardware development expensive and inefficient, and undermines the very principle of sovereignty, resilience and re-usability. Open-source silicon chips, which are open in their entirety, i.e. down to the physical layout, carry the potential of catapulting Europe into a renaissance of digital technology. Several challenges are on the way, many of which will require the participation of the stakeholders (from the fertile ground made of “nerdy” hobbyists and makers who are the early protagonists of the scene, all the way up to large enterprises), as well as the participation of policymakers and regulatory bodies. The road ahead is steep, but rich of rewards. Therefore we loudly say: Go IT!

Keywords: integrated circuit design,open source electronic design automation eda,cmos,vlsi,process design kits pdk,root of trust rot
DRIVING THE FUTURE OF WATER RESOURCE RECOVERY FACILITIES THROUGH DATA INTELLIGENCE (DARROW)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Belgium,Netherlands,Germany
Call: AI, Data and Robotics for the Green Deal (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 3531446.25
EU funding (EUR): 3248696.25
Participants: 8
Project status: SIGNED

The wastewater sector is going through a profound transformation with energy efficiency and resource recovery as key priorities in wastewater treatment plants (WWTP) and these installations started to be perceived as Water Resource Recovery Facilities (WRRF). Under this context, the exploitation of data through artificial intelligence tools with the objective of accelerating the transition of WWTP to WRRF has not been fully addressed yet. When compared to treatment technologies, the deployment of AI-powered tools in production is much faster and, therefore, provides immediate benefits. In that sense, three main barriers have been identified in this domain: i) Mechanistic mathematical models involve complex formulations and specific terminology that are difficult to understand for plant operators; ii) WRRF are harsh environments with strong impact on the quality of data; iii) Essential information in WRRFs is limited and not continuously available. In particular, to overcome these challenges, DARROW will build and demonstrate into an operational environment, an innovative, optimised, modular, and flexible data-driven AI solution to make existing WWTP more autonomous, more energy efficient and better prepared for their transformation into WRRF. DARROW will take advantage of existing AI & Data analysis techniques with the final objective of contributing to a greener planet by: i) Reducing energy consumption of WRRF; ii) Reducing Greenhouse Gas Emissions of WRRF; iii) Increasing Resource Recovery iv) Improving water quality.To do so, DARROW gathers the necessary experience, knowledge and resources through a multi-stakeholder approach that covers the whole value chain of the project. It consists of a multidisciplinary team of 8 entities from 4 different EU countries (Spain, Belgium, Germany and Netherlands), among which, 3 RTOs, 1 university,1 NPO, and 3 SMEs to ensure market exploitation (2 industrial companies and 1 water company).

Keywords: machine learning,wastewater,data intelligence,recovery