Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The pharmaco-microbiomics of depression (DREAM)

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,Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2026-10-31
Duration (months): 38.0
Total project cost (EUR): 237109.2
EU funding (EUR): 237109.2
Participants: 3
Project status: SIGNED

This interdisciplinary project aims to improve response to depression treatment using the gut microbiota. About one third of patients with depression do not respond to treatment with Selective-Serotonin-Reuptake-Inhibitors (SSRIs). Moreover, side effects such as gastrointestinal complaints are common. The commensal gut microbiota, residing in the human intestinal tract in trillions, likely contribute to variation in treatment efficacy. This makes them a promising candidate to improve treatment response. The highly inter-individual variable gut bacteria collectively represent an enormous amount of genes, enzymes and transporters (outnumbering human genes by 10-100 times). Hereby, the gut microbiota are involved in processing of orally ingested compounds, and, through the communication highway called the gut-brain-axis, interact with the central nervous system. Anti-depressant medication such as SSRIs reduce gut microbial diversity and change community dynamics. For example, in vitro studies have shown unintentional effects of SSRIs in the gut on a bacterium with a human-analogous serotonin transporter. This negatively affects serotonin metabolism in the gut, potentially contributing to side effects and reduced treatment response. Other similar mechanisms may occur, yet very limited experimental experimental data exist mapping which and how gut microbiota are impacted by SSRIs. Moreover, hardly any studies link SSRI medication induced gut microbial effects to treatment response. Using clinical cohorts, I will dissociate gut microbial profiles of patients responding versus not responding to their SSRI medication. In a culturing experiment, fecal material of such responders and non-responders will be characterized in terms of growth profile after SSRI exposure, transcriptomic and metabolomics. Using these results, a probiotics product will be developed. This project contains clinical, microbial and applied work with great societal and economic potential.

Keywords: gut microbiota,gut brain axis,depression,treatment response,ssris
CIRCULATING LIGHT ON ANY PHOTONIC PLATFORM (CIRCULIGHT)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France,Czechia,Italy,Netherlands,Germany,United Kingdom
Call: EIC Pathfinder Open (HORIZON-EIC-2023-PATHFINDEROPEN-01, 2023)
Start date: 2024-04-01
End date: 2027-09-30
Duration (months): 42.0
Total project cost (EUR): 2908754.98
EU funding (EUR): 2908754.98
Participants: 11
Project status: SIGNED

The new technology envisioned in CIRCULIGHT will establish a breakthrough in Photonic Integrated Circuit (PIC) capabilities, with impact across a wide range of applications of high economic and societal value. It will lay the foundations of a new class of PICs which are highly functional, miniaturized and low power-consuming, as well as being manufacturable at low cost, thereby contributing significantly to environmental protection and related quality of life. The essential building block that will be created in this project is a truly integrated optical circulator, which protects active and passive integrated functions from each other, distributes light between them, and finally allows very large scale integration of photonic components within diversified PIC architectures. The practical realization of such a structure will be a world-first and a breakthrough in PIC technology. CIRCULIGHT technological decisive progress is based on magneto-optical (MO) nanoparticle-composite sol-gel material and on magneto-biplasmonic (MBP) effect, which will enable the monolithic insertion of circulators on any photonic platform. Within the project, a demonstration will be made on two of them, based on InP and Si respectively, operating at 1.3 or 1.5 µm. While PIC foundries rely on specific and independent technologies, our solution will bypass these specificities, thanks to a universal integration of functional materials. In addition, our interdisciplinary approach is based on the analysis of real world needs, feeding the co-creation of an exploitation roadmap together with end users, industrial and societal stakeholders, in preparation for the scaling up of our technology developments to transform society for the better. To reach these objectives, our consortium of nine partners encompasses competencies in material sciences, photonics, plasmonics, PICs technology and social science, and includes two SMEs.

Keywords: magneto optics,plasmonics,optical non reciprocity
Targeting mechanisms of Thrombo-inflammation (TameThiflam)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Germany
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-11-01
End date: 2029-10-31
Duration (months): 60.0
Total project cost (EUR): 2499000.0
EU funding (EUR): 2499000.0
Participants: 1
Project status: SIGNED

The recent Covid-19 pandemic dramatically illustrated (i) the clinical relevance of thrombo-inflammation (the interplay of coagulation and inflammation) and (ii) our limited understanding of molecular mechanisms of thrombo-inflammation. Thrombo-inflammation is a frequent disease-driving mechanism, impairing out-come of viral or bacterial infection, cardiovascular disease, cancer and other diseases. The lack of mechanistic insights hampered the development of specific therapies. My group recently discovered a new molecular link between coagulation and inflammation that addresses this enormous unmet medical need: the initiator of coagulation, tissue factor (TF, F3, CD142), forms a previously unknown heterodimer with the cytokine receptor IFNAR1 (Interferon-alpha/beta receptor alpha chain) on resting cells. In this heterodimer, TF and IFNAR1 are both inactive. Upon stimulation (e.g. fVII/fVIIa, LPS, polyIC) the heterodimer dissociates, activating TF-mediated coagulation, IFNAR1-mediated inflammation, and cellular metabolism. This provides a novel, yet simple molecular switch simultaneously controlling coagulation, inflammation, and metabolism. This “switch” is expected to provide a new conceptional framework for thrombo-inflammatory diseases. To enable future translation of this novel mechanism, I aim to address the following open questions (i) how is this molecular switch regulated in an organ and context specific fashion (in vitro work; cell-specific inducible TF±IFNAR1 deficient mice)? (ii) what are the consequences of this molecular switch for intracellular signaling, inflammation, mitochondrial metabolism (omics with bioinformatic analyses)? and (iii) what are the molecular structures required for the TF-IFNAR1 interaction (cross-linking, crystallography, phage display, computational modeling)? I expect that answering these questions will lead to new diagnostic and therapeutic approaches revolutionizing the way we detect and treat thrombo-inflammatory diseases.

Keywords: thrombo inflammation,coagulation,tissue factor,cd142,f3,inteferon,interferon signaling,sterile inflammation,homeostasis
New Paradigms for Deep Generative Modeling of Polymers (POLYGEN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Materials Engineering
Panel description: Advanced materials development: performance enhancement, modelling, large -scale preparation, modification, tailoring, optimisation, novel  and combined use of materials, etc.
Countries involved: Sweden
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

Polymers are the most ubiquitous materials class in modern society. Most of us spend a significant part of our lives in buildings made of polymers, using electronics manufactured with special polymers, and taking medicines encapsulated in carefully-optimized polymer formulations. In many cases, the design of new polymers is key to addressing global challenges in sustainability, health, and security. However, current polymer design methods rely heavily on trial-and-error experimentation and are grounded on imprecise assumptions about their structure, which is not only time-consuming and costly, but also offers limited insights into the relationship between structure, synthesis, and properties beyond the simplest polymers. While data-driven methods for small molecule engineering have flourished in recent years, artificial intelligence (AI) methods designed for polymers remain severely underdeveloped due to the unique challenges they pose. Their design involves navigating a noisy data space in search of compounds satisfying a complex set of specifications, made even more challenging when we’re interested in sampling novel, unique materials. The lack of well-defined, regular structures in polymers, coupled with a vastly different synthesis space, has also led to inefficient representations for them and an overreliance on hand-crafted simplifications, necessitating the development of information-rich yet scalable representa-tions for diverse polymer classes. I will tackle these gaps in AI-guided polymer design through the de-velopment of new paradigms for (1) learnable polymer representations and (2) generative AI frameworks for polymer design and synthesis. The methods I will develop bridge unique ideas from polymer science and AI to create a ground-breaking new approach for engineering polymers to specification and transform the current polymer design landscape across many industries via scalable data-driven strategies.

Keywords: artificial intelligence,ai,deep generative models,generative ai,polymer design,polymer engineering,contrastive learning,hypergraphs,representation learning,deep learning,hierarchical representations
Development of Data-assisted Photo-Organocatalytic Transformations (PhotoCatData)

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: Italy,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2028-09-30
Duration (months): 36.0
Total project cost (EUR): 396991.08
EU funding (EUR): 396991.08
Participants: 2
Project status: SIGNED

Photocatalysis is now a well-established method for developing sustainable protocols in synthetic organic chemistry. Organophotoredox catalysis, in particular, is gaining significant interest due the use of inexpensive, easy-to-make, metal-free organic dyes with tunable photophysical properties. Structural modification of these organic molecules is crucial to fine-tune their redox features for desired photochemical transformations. However, predicting the final excited-state properties of functionalized dyes remains challenging, especially when compatibility with the reaction system is required. This has led to a resource-intensive trial-and-error approach to identify the optimal photocatalyst structure for specific transformations, limiting its widespread application. A promising solution is data science, which can streamline the relationship between the chemical structure of dyes and their function, facilitating their application. The computer-assisted development of innovative systems in organophotoredox catalysis can offer novel possibilities for large-scale applications, reducing time, reagent consumption, and costs compared to traditional methods. This proposal aims to develop new data-assisted protocols for reaction discovery and photocatalyst design. During the outgoing phase at the University of Utah, under Prof. Sigman's supervision, machine learning algorithms will be used to correlate photocatalysts' structures with their functions. Classification tools will explore reactivity cliffs, and dimensionality reduction techniques will map the chemical space to visualize reactivity patterns with fewer experiments. In the subsequent return phase at the University of Padova, under Prof. Dell'Amico's supervision, these photochemical methodologies will be adapted for flow processes to produce synthetically relevant compounds on a multi-gram scale. The data science knowledge acquired will guide this transition, enabling a more efficient implementation.

Keywords: data science,computer assisted reaction development,machine learning,predictive algorithms
Mainstreaming pollinator stewardship in view of cascading ecological, societal and economic impacts of pollinator decline (BUTTERFLY)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Research and Innovation actions
Countries involved: Norway,France,Germany,Greece,Denmark,Ireland,Finland,Netherlands,Poland,Italy,Spain,Belgium,United Kingdom
Call: Dependence of society and the economy on pollinators (HORIZON-CL6-2024-BIODIV-01, 2024)
Start date: 2025-03-01
End date: 2029-02-28
Duration (months): 48.0
Total project cost (EUR): 7361032.25
EU funding (EUR): 7068391.25
Participants: 24
Project status: SIGNED

BUTTERFLY aims to significantly enhance society’s capacity to appraise, foresee, and respond to the threats posed by cascading impacts of pollinator decline. To reach that goal it will establish a test system of geographically well spread multi-actor communities across sectors for co-creating proactive pollinator restoration solutions and: (1) collect, integrate, manage and share ecological and spatial information on a wide range of known and lesser known pollinators and pollination services provided for wild and cultivated plants, across Europe and selected overseas territories; (2) advance the monetary and non-monetary valuation of marketed and not marketed direct and indirect ecosystem functions and services provided by pollinators, and advance ecosystem accounting; (3) comprehensively model and quantify the macro-economic implications of pollinator decline and country-specific economic butterfly effects of dependencies on pollinators, and assess policy options and scenarios; (4) assess how five key biomass supply chains (food/micronutrients, pharmaceuticals, cosmetics, biomaterials, biomass energy) depend on pollination and co-create pollinator restoration options that increase resilience of these supply chains; (5) devise, co-create, test and implement transferable tools, interactive atlases and guidelines that enable systematic mainstreaming of proactive pollinator stewardship in vulnerable sectors; (6) conceive indicators for human dimensions and assess and exploit the socio-cultural capacity of the concepts: ‘pollinator stewardship’, ‘eco-literacy’, ‘historical agency’ and ‘slow hope’ in reversing pollinator decline. It will inform EU policy processes and build strategic alliances for high-level impact. The BUTTERFLY network of Living Labs will accelerate knowledge transfer and uptake of new business models and serve as breeding place for multi-actor co-creation of knowledge and sustainable solutions, paving the way to pollinator stewardship in all sectors.

Keywords: pollinators
A DIRECT 2 CONSUMER SOLUTION FOR PERIMENOPAUSAL SYMPTOM DETECTION (identifyHer)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Ireland
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-01-31
Duration (months): 7.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Menopause can have extremely negative consequences on the quality of life, health, & work productivity of women due to the symptoms they experience. Every woman goes through menopause (~440m globally) but the transition to this point, known as perimenopause, can last 5-10 yrs. There are up to 35 symptoms of perimenopause that affect women and 75% report moderate to-severe symptoms that interfere with their life (330m women). There are no blood tests to diagnose perimenopause and treatment depends on the symptom profile but there are no objective ways to detect the symptoms, quantify their frequency & severity or track changes in profiles over time. Clinicians spend most of their time validating the self-reported information from women and of the 60% of women that seek help for their perimenopausal symptoms, 70% remain untreated. The gap in the market is the availability of objective symptom data that can (i) provide women with information they need about their perimenopausal symptoms, (ii) be shared with their clinicians to get an earlier and more accurate diagnosis. Our innovation is a novel, first-of-its-kind, product to objectively detect and track menopausal symptoms. We have developed a technology enabled AI platform using a biosensor patch that sits under the breast on the left-hand that can detect the frequency & severity of perimenopausal symptoms. Our objectives, in line with the expected impact of the Women TechEU programme, are (i) to build a digital platform, allowing us to demonstrate a D2C product for perimenopausal symptom detection, (ii) to use the mentoring & training sessions to prepare a market entry strategy for a D2C product.; (iii) to de-risk private equity investment in a female led, Femtech company by having a demonstrable product. We have an experienced, gender-balanced, team made up of leading product development, clinical, software development & commercialisation experts, with a track record of delivering projects on time and in budget.

Keywords: perimenopause,symptoms,detection
Physical basis of Collective Mechano-Transduction: Bridging cell decision-making to multicellular self-organisation (PhysCoMeT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Denmark
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): 1499381.0
EU funding (EUR): 1499381.0
Participants: 1
Project status: SIGNED

There is growing evidence that mechanical forces emanating from the tissue microenvironment can activate biochemical signalling to control gene expression, in a process known as mechanotransduction, for tissue regeneration and organ development. Importantly disruption of this effect by changes in the microenvironment leads to pathological responses including tissue fibrosis and cancer. The advent of new force measurement techniques and high-resolution microscopy have made it possible to isolate impacts of mechanics from genetic and chemical factors, giving unprecedented access to investigate fundamental questions on how mechanical cues at the tissue scale affect signalling at a single cell level. The proposed research aims to reveal the physics of mechanotransduction in the context of multicellular aggregates, focusing on the impact of mechanical forces from multicellular motion and the mechanical feedback from the activation of biochemical signalling. My central hypotheses are: (i) localisation of mechanical stresses by the cell environment instructs transcriptional activation to direct multicellular behaviour and (ii) the gradients of mechanical forces in a growing multicellular aggregate can act as guidance cues for the morphology of growing tissue. I combine experiments on breast cancer cells of varying degrees of aggressiveness, with multiscale modelling - discrete and continuum simulations - to explain the interconnection of transcriptional activation and multicellular motion. This will fill the gap between biochemistry at the cell level and mechanics at the tissue level and is essential to the understanding of physical mechanisms that lead to healthy behaviour or malfunctioning of tissue, as well as to finding proper therapies for diseases that emerge at tissue scales. Moreover, in a field dominated by genetic and chemical understandings, the outcomes of this project will provide a fresh view based on the biophysics of force transmission across the tissue.

Keywords: mechanotransduction multicellular motion mechanical stress
Sustainability EducationAl programme for greeNEr fuels and enerGY on ports (SEANERGY)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Coordination and support actions
Countries involved: Portugal,Sweden,Netherlands,Italy,Spain,Austria,Greece,France,Germany
Call: Sustainability and educational aspects for renewable energy and renewable fuel technologies (HORIZON-CL5-2021-D3-02, 2021)
Start date: 2022-10-01
End date: 2025-03-31
Duration (months): 30.0
Total project cost (EUR): 2497043.75
EU funding (EUR): 2497043.75
Participants: 13
Project status: SIGNED

Contributing to reach the European Green Deal objectives and the Europe 2050’s goals, the SEANERGY Project aims to provide a solution for exploiting the untapped potential of EU-ports energy’s system by implementing the SEANERGY Master Plan which assesses stakeholders to execute the necessary activities towards transforming ports, regardless of their geographical context, into active members of the clean energy and fuel generation grid of EEZ. Activities such as training, reskilling, awareness spreading and communication channels creation, will set the basis of the green port transitioning, creating spaces of dialogue and teaching among all agents of the industry (private and public), which will, in turn, boost the development and integration of these technologies, along with prepared professionals that will be able to manage and implement them promptly, securely and efficiently. The SEANERGY project will be developed in 3 stages: (1) understanding of actors and port E&F systems and identifying limitations; (2) developing the Master Plan and Handbook, which will serve as a training manual for stakeholders, as well as implementing the Industry-Academy programme to train future professionals in clean energy technologies and fuels and how to apply the knowledge in ports; (3) expanding the scope of the Master Plan beyond Europe.

Keywords: renewable energy,fuel technologies,circular economy,sustainability,eco design,greener ports,social innovation,training,reskilling,policymaking,communication and port infrastructure planning