Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Digital twins for cancer progression based on multiscale structured models and mechanistic learning (DIGIPRO)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1499990.0
EU funding (EUR): 1499990.0
Participants: 1
Project status: SIGNED

The personalization of oncology needs predictive methods to anticipate major pathological events and optimize clinical care for each patient. To address this critical demand, computational oncology has produced biomechanistic models for patient-specific cancer forecasting. Although these models are based on cancer growth (increase in extension), the main driver of potentially lethal disease and, hence, the basis for clinical decisions is cancer progression (increase in malignancy). However, despite known correlations between cancer progression and growth, the biophysical mechanisms that explain how cancer progression emerges and alters cancer growth remain unknown. DIGIPRO will address this crucial gap in knowledge. I will build a new class of biomechanistic models to describe the multiscale dynamics of cancer progression, enable its early detection at microscopic stage by using macroscopic clinical data, and construct clinically-practical digital twins to optimally adapt cancer monitoring for early detection of progression. To achieve this ambitious goal, I will focus on newly-diagnosed prostate cancer and (i) build novel micro and macroscale models jointly describing cancer growth and progression using a structured formulation over space, time, and malignancy dimensions; (ii) pioneer a multiscale structured model equipped with a mechanistic learning operator that uses macroscale model-based biomarkers of progression to reconstruct the microscale cancer malignancy profile; and (iii) combine adaptive and immersed isogeometric methods, reduced order models, and multi-objective risk-based optimization to construct practical digital twins of cancer progression and explore optimization of cancer monitoring. Thus, DIGIPRO will push the frontiers of cancer modeling, biology, and care, while also opening new horizons in mechanistic modeling of multiscale progressive phenomena in medicine (e.g., Alzheimer’s disease, atherosclerosis) and engineering (e.g., fracture, damage).

Keywords: computational oncology,mathematical oncology,tumor forecasting,patient specific,mechanistic models,biomechanics,computational mechanics,isogeometric analysis,digital twins,mechanistic learning,physics informed machine learning,reduced order models,multiscale models,phase field models,advection reaction diffusion partial differential equations
HydrogEn combuSTion In Aero engines (HESTIA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Research and Innovation actions
Countries involved: France,Germany,Italy,Poland,Canada,United Kingdom
Call: Greenhouse gas aviation emissions reduction technologies towards climate neutrality by 2050 (HORIZON-CL5-2021-D5-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 5043800.0
EU funding (EUR): 5043800.0
Participants: 25
Project status: SIGNED

To reduce climate impact of aviation, decarbonisation is a major challenge. Current combustion chambers are burning hydrocarbon fuels, such as kerosene or more recently emerging SAF products. Hydrogen is also considered today as a promising energy carrier but the burning of hydrogen creates radically new challenges which need to be understood and anticipated. HESTIA specifically focuses on increasing the scientific knowledge of the hydrogen-air combustion of future hydrogen fuelled aero-engines. The related physical phenomena will be evaluated through the execution of fundamental experiments. This experimental work will be closely coupled to numerical activities which will adapt or develop models and progressively increase their maturity so that they can be integrated into industrial CFD codes. Different challenges are to be addressed in HESTIA project in a wide range of topics: - Improvement of the scientific understanding of hydrogen-air turbulent combustion: preferential diffusion of hydrogen, modification of turbulent burning velocity, thermoacoustics, NOx emissions, adaptation of optical diagnostics; - Assessment of innovative injection systems for H2 optimized combustion chamber: flashback risk, lean-blow out, stability, NOx emission minimisation, ignition; - Improvement of CFD tools and methodologies for numerical modelling of H2 combustion in both academic and industrial configurations. To this end, HESTIA gathers 17 universities and research centres as well as the 6 European aero-engine manufacturers to significantly prepare in a coherent and robust manner for the future development of environmentally friendly combustion chambers.
PREcision medicine to Prevent ARrhythmic Events in athletes (PREPARE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 1
Project status: SIGNED

Regular physical activity is known to be beneficial for health, can prevent cardiovascular disease and reduce overall mortality. However, high intensity exercise can promote the development of arrhythmias and cause sudden cardiac death. Recently the Prof.Peter Schwartz’s group discovered the phenomenon of exercise-induced Long QT Syndrome (exiLQTS). Affected athletes develop significant QT interval prolongation and repolarization abnormalities on the electrocardiogram during training periods and normalisation occurs during detraining. Clinically, these athletes resemble patients with congenital LQTS, who are known to be severely at risk for life-threatening arrhythmias, but no pathogenic genetic variants in main genes responsible for LQTS were found. Data on how exercise could trigger pathogenic QT prolongation and arrhythmias is limited and thus the possibilities to evaluate potential risks and prevent sudden cardiac death in these young athletes are currently absent. This project will use a precision medicine approach to reveal molecular culprits of exiLQTS by: i) demonstrating that the disease could be recapitulated in vitro using athlete-specific induced pluripotent stem cell-derived cardiomyocytes models; ii) creating a statistical model integrating genetic, electrophysiological, and molecular data; iii) discovering major factors responsible for exiLQTS development and identifying molecular targets for risk stratification and therapy. Results of the study will shed the light on mysterious exercise-related QT prolongation and will contribute to better risk assessment and clinical management of arrhythmias in young athletes.

Keywords: exercise,athlete,long qt syndrome,human induced pluripotent stem cells,ipscs,cardiomyocytes,cardiac arrhythmias,disease modeling,precision medicine,electrophysiology,molecular biology
Stratospheric Dynamics for Seasonal Prediction (SD4SP)

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: Italy,Canada
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-03
End date: 2026-04-02
Duration (months): 36.0
Total project cost (EUR): 280202.88
EU funding (EUR): 280202.88
Participants: 2
Project status: SIGNED

Seasonal forecasting is a field with enormous potential influence in different socio-economic sectors, such as water resources, agriculture, health, and energy. Yet, surface climate conditions in Europe still represent a hurdle to formulate skillful seasonal predictions. SD4SP aims to improve simulation and prediction of the remote influence of two dominant tropical variability modes in the North Atlantic-European (NAE) region: El Niño-Southern Oscillation (ENSO), and the Quasi-Biennial Oscillation (QBO); which are the leading modes of interannual variability in the tropical troposphere and stratosphere respectively. ENSO is highly predictable and constitutes the cornerstone of seasonal forecasting. The QBO is well constrained by initialization and has a long persistence, being considered as the most promising source of seasonal forecast quality with ENSO. However, many scientific questions remain unresolved concerning their tropical-extratropical teleconnections, and model systematic errors only worsen the problem. SD4SP will focus on the stratospheric pathway of the ENSO/QBO teleconnections to NAE and pursue gaining insight into the dynamical mechanisms at play. This goal will be undertaken by carrying out an unprecedented set of idealized seasonal forecast experiments to address the contribution of the tropical stratosphere and the polar stratosphere to the prediction skill by suppressing variability in the two stratospheric regions, separately. SD4SP is very timely in helping to reduce model biases and to increase current seasonal forecasting capabilities for the NAE surface climate. The goal of SD4SP is twofold: to identify key sources of predictability and to improve understanding and simulation of the mechanisms responsible for that predictability. SD4SP will bring together theory and applicability disentangling atmospheric teleconnections to satisfactorily exploit them in a seasonal prediction context.

Keywords: seasonal prediction
META-GRID: cliMate rEsilience assessmenT and Adaptation of the European power GRID (META-GRID)

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: Information Science and Engineering
Countries involved: United Kingdom,Belgium,France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-06-01
End date: 2028-05-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 3
Project status: SIGNED

The European power grid is the backbone of our society. Climate hazards, exacerbated by climate change, trigger at least one-third of power outages in Europe, leading to significant direct and indirect socioeconomic losses. Network extensions and ageing infrastructure further increase the power grid vulnerability. Hence, power operators and regulatory agencies must understand and quantify the resilience of the power grid infrastructure against windstorms, snowstorms and floods based on well-informed fragility and restoration models. Currently, the available models for power grid assets in the EU lag behind compared to other infrastructures. META GRID aims to fill this acknowledged gap, by applying a multi-disciplinary and practice-oriented methodology that advances resilience assessments at Pan-European level, considering various climate adaptation investments. Novel fragility and restoration functions will be generated, based on extensive numerical modelling, evidence from previous failures, climatic projections and input from experts. Win-win-win and low-regret adaptation investments will be exploited to cope with climate change. A freely accessible web-based toolkit will be developed to incorporate the fragility and restoration models and the resilience mapping which intends to evaluate the impact of investments in two critical EU regions. Under the MSCA programme, the Fellow will engage in multidisciplinary research on infrastructure resilience by joining the Brunel University London (host), with complementary training on climate data analysis and EU policy at the Joint Research Centre (JRC), and collaboration with the industry (Électricité de France) and KIOS (Cyprus) research centre. In line with the new EU Resilience Directive and Strategic Plan, META-GRID has a direct industrial and societal impact by advancing EU power grid resilience assessment and decision-making. Enhancing the services offered by power operators increases peoples’ safety and well-being.

Keywords: energy infrastructure,vulnerability,resilience,numerical modelling,restoration models,multiple hazards,climate change
Characterization of the magnetism of exoplanets (ExoMagnets)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-06-01
End date: 2029-05-31
Duration (months): 60.0
Total project cost (EUR): 1992863.0
EU funding (EUR): 1992863.0
Participants: 1
Project status: SIGNED

The research in exoplanetary sciences has skyrocketed since the first discovery of planet 51 Peg b by Mayor and Queloz (1995). More than 5200 exoplanets have been discovered since and have revolutionized our understanding of how star-planet systems are formed and evolve. More and more exoplanets keep being discovered today, and their characteristics and that of their host star are being precisely determined using space-based and ground-based multi-wavelengths observations. Nevertheless, we are still blind to a fundamental aspect of exoplanets: what kind of magnetism and magnetosphere do they possess? On Earth, we know the magnetic field shields the atmosphere from the space environment and has been essential to maintaining life as we know it. With the advent of the SKA Observatory, we expect to detect magnetospheric radio signals from hundreds of exoplanets. These magnetospheres also lead to star-planet magnetic interactions for about a third of the known exoplanets, which leave observable traces on the activity tracers of the host star. However, such detections are not enough by themselves to quantify the magnetic properties of exoplanets due to an incomplete theoretical understanding of magnetic interactions. In ExoMagnets we will therefore address the following science questions: how planets interact magnetically with their environments? How much energy can be involved, and what observational tracers can be detected? What type of magnetism can be sustained by an Earth in the habitable zone of a low-mass star? We will address these questions by filling out the present theoretical gaps about the magnetic coupling between an exoplanet and its local environment. We will quantify for the first time its energetics, its observable multi-wavelength spectrum, and leverage them to constrain the magnetism of exoplanets on short-period orbit. These approaches will be combined to provide the theoretical tools to characterize the magnetism of a large sample of exoplanets.
Novel functionalization of liposomic nano-vehicles for strongly-enhanced drug delivery (NanoDeliveryEnhance)

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: Israel
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-02-01
End date: 2024-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Delivery to diseased cells or tissues of therapeutic agents attached or encapsulated in nanoparticles – nanomedicine - presents many benefits, and comprises a rapidly-growing multi-billion-euro market. Lipid-based drug-delivery nano-vehicles, where drugs (not least the recent, very-widely-used, mRNA-based COVID-19 vaccines) are encapsulated in lipid vesicles (liposomes) or lipid nanoparticles, form a substantial part of that market. Nearly all FDA-approved liposomic vehicles are functionalized with poly(ethylene glycol), PEG, moieties, the current gold-standard. These act both to sterically-stabilize the vesicles, and, importantly, increase their blood-retention time and thus their therapeutic efficiency. At the same time, such PEGylation has several drawbacks, including reduced cellular uptake, accumulation of PEG in tissues, and accelerated blood clearance on repeated intravenous dosage due to heightened immune response. We use novel functionalization approaches to overcome these drawbacks. The present project explores the innovation dimension of our new approach. In particular, is it effective? is it efficient? How widely applicable is it? What is the IPR position for future exploitation of this new strategy? These questions illustrate the high-risk/high-gain nature of this proposal, and are addressed here through several inter-related work packages. Success of our project in demonstrating that our novel approach is significantly superior to the current universally-used PEGylation would not only have a therapeutic advantage for many diseases, but also tap into a large and growing market.
NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across EUrope (REUNATECH)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Greece,Italy,Netherlands,Denmark
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 3812661.72
EU funding (EUR): 3812661.72
Participants: 18
Project status: SIGNED

Ageing infrastructures, urbanization, and climate change are constantly increasing the vulnerability of industrial facilities and communities to cascading hazards. The REUNATECH Doctoral Network is a research and training programme that aims to educate and train Doctoral Candidates (DCs) on risk management and resilience for critical infrastructures (CI), high-tech industries (HTI), and communities across Europe against NaTech (Natural hazard triggering Technological accidents). This is achieved through integrating advanced risk-resilience methodologies, innovative technologies, and collaborative training platforms. The scientific objectives include (1) developing a holistic multi-hazard risk assessment framework accounting for cascading effects, (2) creating a digital environment using advanced technologies for real-time assessment, (3) advancing the dynamic risk assessment towards resilience improvements, and (4) establishing a digital risk-resilience framework for HTI/CI and communities. The training objectives aim to enhance the understanding between NaTech risk assessment methods and European frameworks through workshops, summer schools, and specialized sessions. REUNATECH ensures smooth communication across different fields and creates an environment where Doctoral Candidates, through training and international exchanges, can bridge the gap between academia and industry. The innovative objectives include creating a Virtual Training Environment (VTE) for disaster response training, integrating Building Information Modelling (BIM) and Structural Health Monitoring (SHM) using smart sensor systems, introducing resilience-based design software, and establishing NaTech multi-stakeholder collaboration platforms. With its interdisciplinary approach and robust methodologies, REUNATECH aims for timely, impactful, and scalable solutions aligning with European and UN sustainability and safety goals against NaTech challenges.

Keywords: natech,critical infrastructures,high tech industry,multi hazard,risk and resilience assessment,bim,shm,seismic protection systems,virtual training,real time monitoring,systematic approach
Model theory, locally compact groups and solution of Hilbert's 5th problem (Hilbert5th vs models)

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: Mathematics
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 2
Project status: CLOSED

The main goal of the project is to apply advanced techniques from the model theory (a branch of mathematical logic) to the class of locally compact groups arising from the solution of Hilbert's 5th problem (so at the end, to the class of Lie groups), to answer the following question: how much geometry can model theory recognize? There does not exist a general (first-order) model-theoretic description of the locally compact groups, thus our first goal will be to develop such a description. Then, we will study how notions from these two corners of mathematics, i.e. model theory and locally compact groups, correspond to each other. For example, we will try to enrich the classification of locally compact and Lie groups by translating the dividing lines from the model-theoretic stability hierarchy. In the next stage, machinery from the so called geometric (neo)stability theory will be deployed in a tame class of locally compact groups, for example in the class of locally compact groups being projective limits of Lie groups and not having small subgroups (so in the groups from the solution of Hilbert's 5th problem). In this spirit, one could consider the definable homogeneous space coming from the Group Configuration Theorem, which is a part of the aforementioned machinery, and try to relate it to the unsolved Hilbert-Smith conjecture - this will be one of our milestones. In short, we aim to find connections between model-theoretic theorems of geometric nature and classical theorems on the Lie groups, so theorems which depend on the geometry of Lie groups. After understanding these connections, we want to transport techniques from the model theory into the locally compact and Lie groups and vice versa.

Keywords: model theory,geometric stability theory,locally compact groups,hilbert s 5th problem,lie groups