Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Renewable and flexible fuel power generation technology enabling the multi-sectorial decarbonization with Zero emissions (ALL-IN Zero)

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: Spain,Germany,Austria
Call: Emerging technologies for a climate neutral Europe (HORIZON-CL5-2021-D2-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 2529167.5
EU funding (EUR): 2529167.25
Participants: 5
Project status: SIGNED

EU transport and power generation accounts approximately each for one-third of all CO2 emissions from fossil fuel combustion. While current decarbonisation measures are focused principally on two alternatives: electrification and fuel switching, these are not suitable for the harder-to-abate sectors, such as heavy-duty road transport or decentralised energy production due to payload, autonomy and/or fuel supply requisites, among other issues. In fact, these sectors still rely on fossil fuels for 94% of its energy needs, constituting one of the main challenges to comply with the objectives of the Paris Agreement. These sectors require a system that allows to exploit the advantages of the use of liquid fuels, as are high energy density, fast refilling and easy transport, but bypassing the efficiency limitations and eliminating CO2 emissions. In addition, to tackle the alarming increase of GHG emissions and the rise of global temperature, it is necessary to deploy an effective solution in the short-medium term. Therefore, it is key not to depend on the construction of new infrastructures and be able to use the existing ones for the transport, storage and supply of liquid fuels. The main objective of ALL-IN Zero is to develop a multi-fuel system to generate electrical and mechanical power with zero emissions. This system will feed low, zero or carbon carbon-negative fuels like ammonia, natural gas, biogas or alcohols, into a Compact Membrane Reactor producing a common intermediate temporary energy vector to be consumed in situ by power generation systems such as internal combustion engines and fuel cells. ALL-IN Zero will accelerate decarbonisation earlier than other technologies, using available productive and supply chains, SoA technologies, and upstream and downstream treatments for mobile and stationary solutions.

Keywords: multi fuel,accelerated decarbonisation,zero emission,efficient energy conversion,mobile and stationary power generation,heavy duty transport,compact membrane reactor,fuel cell,ice
Into the Blue - Resolving past Arctic greenhouse climate (i2B)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Norway,Germany
Call: ERC Synergy Grants (ERC-2023-SyG, 2023)
Start date: 2024-11-01
End date: 2030-10-31
Duration (months): 72.0
Total project cost (EUR): 12487730.0
EU funding (EUR): 12487730.0
Participants: 4
Project status: SIGNED

The Arctic Ocean is turning blue. Abrupt Arctic warming and amplification is driving rapid sea ice decline and irreversible deglaciation of Greenland. The already emerging, substantial consequences for the planet and society are intensifying and yet, model-based projections lack validatory consensus. To date, we cannot anticipate how a blue Arctic responds to and will amplify an increasingly warmer future climate, nor how it will impact the wider planet and society. Climate projections are inconclusive as we critically lack key Arctic geological archives that preserve the answers. This “Arctic Challenge” of global significance can only be addressed by investigating processes, consequences, and impact of past “greenhouse” (warmer than present) states. The timeliness of i2B is tied into retrieval of revolutionary, new Arctic geological archives of past warmth and key breakthroughs in climate model performance that will be integrated in a concerted framework beyond state-of-the-art. i2B will deliver a ground-breaking, synergistic framework to answer the central question: “Why and what were the global ramifications of a “blue” (ice-free) Arctic during past warmer-than-present-climates?” This will be addressed through three connected, cross-disciplinary objectives integrating the expertise, knowledge, and skill-sets of three PIs and their different Arctic paleo-climate and modelling teams. i2B will quantify cryosphere (sea ice, land ice) change in a warmer world (O1) that will form the scientific basis for understanding the dynamics of Arctic cryosphere and ocean changes (O2), to enable quantitative assessment of the impact of Arctic change on ocean biosphere, climate extremes and society (O3) that will underpin future cryosphere-inclusive IPCC assessments. i2B will solve the “Arctic Challenge” with the synergistic multiplier of the 3 PIs` expert capabilities providing pioneering knowledge on how a blue Arctic impacts Earth’s climate during greenhouse climate states

Keywords: arctic ocean,greenhouse climate
Functional cartography of intestinal host-microbiome interactions (CartoHostBug)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Sweden,Germany,Netherlands
Call: ERC Synergy Grants (ERC-2023-SyG, 2023)
Start date: 2024-07-01
End date: 2030-06-30
Duration (months): 72.0
Total project cost (EUR): 10382670.0
EU funding (EUR): 10382670.0
Participants: 4
Project status: SIGNED

Microbiome-host crosstalk is crucial for gut homeostasis and its dysregulation is a hallmark of diseases such as colorectal cancer (CRC) and inflammatory bowel disease (IBD). Despite its key relevance for a holistic understanding of the human superorganism and its (patho-)physiology, how local host-microbiome interactions form specific niches in the gut and how these niches function at the cellular and molecular level remains unexplored, mainly due to a lack of suitable technologies. To fill this gap, we propose to jointly reconstruct the host transcriptional and microbiome compositional landscape of the human gut across a large number of healthy individuals as well as IBD and CRC patients. For this, we will leverage a combination of novel spatial profiling technologies for unbiased transcriptome sequencing and microbiome profiling at single-cell resolution in situ. First, we will spatially delineate local niches formed of specific microbes and host cells. To dissect this complex crosstalk into specific interactions, we will secondly use in vitro and in vivo models to introduce perturbations either on the host or the microbiome side. Finally, we will integrate the resulting data to deconvolute host-microbiome circuits computationally and to predict functional niches, in particular host responses to pathogens of relevance in IBD and CRC. Interesting predictions will be tested in organoid and animal models. Developing a spatially resolved computational model of the gut ecosystem will allow us to predict early local events in disease onset; from these we will identify and validate prognostic IBD and CRC biomarkers for future clinical translation. This work will revolutionize our understanding of intestinal host-microbiome interactions by adding a first-ever functionally resolved spatial dimension with clinical relevance for the future diagnosis and treatment of intestinal disorders.

Keywords: spatial transcriptomics spatial microbiome analysis host microbiome interactions mucosal immunology intestinal diseases colorectal cancer gut
The impact of environmental crimes and human induced disaster on cultural rights of indigenous and afro-indigenous peoples (Mother Earth)

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: Belgium,United Kingdom
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): 175920.0
EU funding (EUR): 175920.0
Participants: 2
Project status: SIGNED

Increasingly serious environmental crimes and large-scale human-induced disasters generate harm that impacts local communities. For instance, in 2015, the Fundão Dam collapse contaminated 650 kilometres of the Doce River with toxic residues, affecting the life of 1.6 million people living in the watershed. Among them, indigenous and afro-indigenous peoples have their life and culture impacted. This project seeks to understand and conceptualise what indigenous and afro-indigenous peoples’ cultural rights are affected by environmental degradation in Brazil and Colombia. It aims to co-develop with local communities in those countries a toolbox to identify and protect their cultural rights and to claim redress for cultural losses.

Keywords: indigenous and afro indigenous peoples cultural heritage law,environmental law
The Complexity of Dynamic Matrix Problems (CODY)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-07-01
End date: 2027-06-30
Duration (months): 60.0
Total project cost (EUR): 1439413.0
EU funding (EUR): 1439413.0
Participants: 1
Project status: SIGNED

Modern data analysis and optimization rely on our ability to process rapidly evolving dynamic datasets, often involving matrix operations in very high dimensions. Dynamic data structures enable fast information-retrieval on these huge databases by maintain- ing implicit information on the underlying data. As such, understanding the power and limitations of dynamic (matrix) data structures is a fundamental question in theory and practice. Despite decades of research, there are still very basic dynamic problems whose complexity is (exponen- tially) far from understood – Bridging this gap is one of the centerpieces of this proposal. The second theme of this proposal is advancing the nascent role of dynamic data structures in continuous optimization. For over a century, the traditional focus of optimization research was on minimizing the rate of convergence of local-search methods. The last ∼3 years have witnessed the dramatic potential of dynamic data structures in reducing the cost-per-iteration of (Newton type) optimization algorithms, proclaiming that the bottleneck to accelerating literally thousands of algorithms, is efficient maintenance of dynamic matrix functions. This new framework is only at its early stages, but already led to breakthroughs on decade-old problems in computer science. This proposal will substantially develop this interdisciplinary theory, and identifies the mathematical machinery which would lead to ultra-fast first and second-order convex optimization. In the non-convex setting, this proposal demonstrates the game-changing potential of dynamic data structures and algebraic sketching techniques in achieving scalable training and inference of deep neural networks, a major challenge of modern AI. Our program is based on a novel connection of Kernel methods and compressed sensing techniques for approximate matrix multiplication.

Keywords: data structures,dynamic algorithms,optimization,lower bounds
A prosthetic heart valve for adults and children, made from the patient’s own tissue, a replacement heart valve that lasts a lifetime (GrownValve)

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: Germany
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-04-01
End date: 2025-07-31
Duration (months): 40.0
Total project cost (EUR): 3611043.69
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Each year 400,000 people are born with heart valve defects worldwide. Moreover, in the western world, 1 in 8 healthy adults will develop a heart valve problem during their lifetime. Current artificial heart valves made from animal or human donor tissue carry a high risk of tissue rejection, degradation and calcification that limit their lifespan to about 10 years, forcing patients to undergo risky cardiac re-surgery. For children, no dedicated valve product exists, thus, paediatric patients can endure 4-5 surgeries between 0-18 years of age as their bodies outgrow each replacement heart valve. At GrOwnValve we have developed a paradigm shift in heart valve technology: the first autologous valve, grown from the patient’s own tissue, crafted using medical imaging and a 3D printing technique. Our valve lasts a lifetime, eliminating tissue rejection and surgical risks associated with repeated surgery (bleeding, infection and death).

Keywords: heart valve,autologous valve
A State-of-the-Art Antibody-Drug Conjugate for Invasive Metastatic Solid Cancers, Targeting the Tumour Microenvironment (OMTX705)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 36.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Oncomatryx’s project, centred around the innovative OMTX705 therapy, represents a significant leap in cancer treatment. We are navigating through critical clinical trials and preparing for global licensing agreements. OMTX705 is an antibody-drug conjugate (ADC) that addresses a crucial gap in current cancer therapies by targeting the Tumour MicroEnvironment (TME), specifically the Fibroblast Activated Protein (FAP)-expressing Cancer-Associated Fibroblasts (CAFs). This novel approach, marking OMTX705 as a first-in-class ADC, disrupts traditional cancer treatment strategies and introduces a new paradigm in effective therapy. Currently positioned at TRL 6, with the ongoing dose escalation phase 1 clinical trial, the project aims to progress to TRL 7 during the phase 2 trial. The timing for introducing OMTX705 into the market aligns perfectly with the rapidly expanding solid tumour therapeutics market, especially in Europe and North America, and the growing demand for innovative cancer treatments. OMTX705 stands out in the competitive oncology market, thanks to its unique approach of targeting the TME. The project’s market development strategy is well-aligned with the industry's trends, focusing on substantial markets across various cancers and leveraging existing licensing agreements. The impact of this project extends beyond healthcare innovation, contributing significantly to Europe's Beating Cancer Plan and the European Health Union, emphasizing equal access and quality of life for cancer patients. The team at Oncomatryx is experienced and embodies gender balance and professional excellence. Supported by renowned advisors and equipped with the necessary expertise, the team is instrumental in advancing the OMTX705 project. The development plan for OMTX705, a blend of grant funding (€2,5M) and equity (€10M), is strategically designed to meet the financial needs of different stages of the project, ensuring a smooth progression from clinical trials to market entry.

Keywords: antibody drug conjugate oncology metastatic solid cancers tumour microenvironment
Using Kleptoplasty to illuminate the Evolution of Plastids and the Order of Steps during endosymbiosis (KLEPTOS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Czechia
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-07-01
End date: 2030-06-30
Duration (months): 60.0
Total project cost (EUR): 1998698.0
EU funding (EUR): 1998698.0
Participants: 1
Project status: SIGNED

Plastids, the photosynthetic organelles of eukaryotes, arose via endosymbiosis of cyanobacteria by a eukaryotic host and were subsequently spread across eukaryotic diversity by additional endosymbioses. These events greatly impacted the evolution of eukaryotes, introducing a novel lifestyle and shaping their diversity, yet we still know very little about the steps taking place during plastid endosymbiosis. The traditional view considers this a straightforward uptake and retention of the symbiont that later becomes the plastid, followed by genetic integration. Recently, profoundly different models proposing several, transient interactions with a variety of endosymbionts that transfer genes to the host before fixation of the final endosymbiont have gained traction. Kleptoplastidic species, lineages that transiently retain and use plastids from their prey, are at the centre of this paradigm shift, providing the first insights into the order of steps during plastid endosymbiosis. Kleptoplasty is rare, primarily found in a group of microbial eukaryotes, and the few kleptoplastidic taxa known have not been studied in the context of endosymbiosis. I propose here to resolve the process of plastid endosymbiosis using kleptoplasty as a unique model by addressing these questions: 1) What is the hidden diversity of kleptoplastidic taxa? 2) What is the level of genetic integration in these taxa? 3) What is the composition of the plastid proteome in a kleptoplastidic lineage? 4) How does the kleptoplast and control of the kleptoplast change during integration? To answer these questions, I will combine a novel imaging-based screen for kleptoplastidic lineages with high-throughput transcriptomics and phylogenetics and provide the first plastid proteome of a kleptoplastidic lineage. This project will not only advance our shifting understanding of endosymbiosis, but the methods developed will provide a foundation for future studies on the evolution of microbial eukaryotes.

Keywords: plastid endosymbiosis,kleptoplasty,microbial eukaryotes
A Mechanistic Variant Effect Predictor for disentangling the biophysical mechanisms driving disease (mechVEP)

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: Spain
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): 209914.56
EU funding (EUR): 209914.56
Participants: 1
Project status: SIGNED

Genome sequencing has grown exponentially, but determining the phenotypic consequences of mutations remains a key challenge in human genetics. Recently, unsupervised methods, which model the distribution of sequence variation across organisms, have emerged as promising tools for quantifying the clinical pathogenicity of variants, rivaling the accuracy of experimental approaches. However, these machine learning predictors fall short in discerning the effects induced by pathogenic mutations that impact on organismal fitness and drive disease. I propose to address this knowledge gap by combining the evolutionary-based variant tolerance predictors with protein folding models derived from energy landscape theory. In order to fold in biological timescales, an amino acid chain must minimize energy conflicts within it. In natural proteins, remaining conflicts can be measured with a transferable energy function, pointing out regions that did not evolve maintaining foldability, as active or binding sites. Incorporating this approach, I will focus on disentangling the biophysical ambiguity between the alteration of specific functions and local stability changes along proteins, firstly for single variants from which thermodynamic data is available for testing. Furthermore, I will integrate the folding and evolutionary models into a single algorithm to characterize and predict disease-driving mechanisms along the human proteome, a Mechanistic Variant Effect Predictor (mechVEP). Finally, I will apply this pipeline for investigating the epistatic and dominance effects of multiple mutations, paving the way for fine-tuning disease predictors for different ancestries. In summary, findings from this study will provide completely new insight into deciphering the underlying molecular mechanisms driving disease, opening new opportunities for diagnosis and therapy.

Keywords: evolutionary medicine,protein folding,variant effect predictor,