Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Fighting childhood obesity to stay healthy all over the life (OBELISK)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: France,Italy,Spain,Switzerland,United Kingdom,Finland,Germany,Sweden,Belgium,Poland
Call: Prevention of obesity throughout the life course (HORIZON-HLTH-2022-STAYHLTH-01-two-stage, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 10054268.0
EU funding (EUR): 10054268.0
Participants: 19
Project status: SIGNED

Obesity rates in late teens have increased in Europe from 6% in 1980 to 32%, with long-lasting effects on the prevalence of severe obesity, diabetes and cardiovascular disease, premature death and disability. Efficiently fighting adult obesity is difficult but prevention and treatment of obesity have proven to work better at young ages. OBELISK goal is to cut the roots of the pandemic of obesity in Europe targeting children first. OBELISK is focused on elucidating, Predicting, Preventing obesity and bringing Precision medicine for children with obesity. OBELISK medicine is also Participative (4P), leveraging the potential of social innovation through engagement with families, scientific and medical communities, daycare, schools, municipalities, industries to achieve success. OBELISK objectives are: 1/ to bring breakthroughs in the molecular mechanisms by which causative factors interact to drive (or prevent) the transition from normal weight to obesity during childhood and to develop and exploit for prevention and treatment early predictive proprietary tools; 2/ to identify at least 3 novel childhood obesity genes with the prospect of identifying additional drug targets; 3/ to demonstrate the utility of targeted approaches to prevent childhood obesity; 4/ to bring breakthroughs in childhood obesity treatment including a real-life clinical study of a promising existing drug (GLP1R agonist) to reverse obesity in people with mutations predisposing to early severe obesity; 5/ to exploit the project results and disseminate best practices to prevent and treat childhood obesity, implementing education programs and translating OBELISK clinical results into guidelines and proposals for policy makers to change obesity care; 6/ to facilitate networking and exchanges with other actions and projects in order to optimize knowledge and joint activities. OBELISK targeted approach should contribute to decrease by 35% the number of children with obesity becoming adults with obesity.

Keywords: childhood adolescence obesity,prevention,prediction,precision medicine,participatory medicine,clinical trials,cost efficiency,prospective cohorts,inequalities,genomics,machine learning
BOOSTING ENGAGEMENT TO INCREASE FLEXIBILITY (BeFlexible)

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: Innovation actions
Countries involved: Spain,Italy,Portugal,Germany,Belgium,Sweden,Serbia,France,Norway
Call: Increasing energy system flexibility based on sector-integration services to consumers (that benefits system management by DSOs and TSOs) (HORIZON-CL5-2021-D3-02, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 10383163.75
EU funding (EUR): 7999744.75
Participants: 28
Project status: SIGNED

The increased shares of renewable energy, combined with the rise in distributed generation are profoundly impacting electricity markets and the demand for system flexibility and business models of traditional utilities and distribution companies. This requires a rethinking of the way power sector markets are designed and operated as well as a timely and efficient adaptation of traditional market and operational mechanisms. The recent created clean energy legislation requires that Electricity Markets are created with “active customers/consumers and citizens” and “energy communities”. This new legislation asks for enhanced roles of DSOs and TSOs, particularly for a better coordination among stakeholders, procurement of ancillary services, flexibility, data management and integration of Electric Vehicles and must adapt network access and congestion tariffs & charges (flexibility). Markets must encourage the development of more flexible generation and demand and the elimination of obstacles to market-based pricing, remove regulatory distortions, enable scarcity pricing, interconnection, Demand Side Response and storage. Final customers must be enabled to buy electricity generation from aggregated, multiple power-generating facilities or load from multiple demand response facilities to provide joint offers on the electricity market and be jointly operated in the electricity system. Citizens must be offered competitive prices. BeFlexible aims at increasing energy system flexibility, enhancing cooperation among DSOs and TSOs and easing participation of all energy-related actors through the validation and large-scale demonstration of adapted and proven cross-sectoral services, interoperable platforms for smart grids operation developing further already demonstrated solutions and the creation of required system architecture framework to enable the creation of new business models providing additional value to meet consumers’ needs in compliance with a stable regulatory framework.

Keywords: flexibility,energy,smart grids,platform
PROTEIN GLYCOSYLATION AND EPIGENETICS IN ADVANCING PANDEMIC PREPAREDNESS: INNOVATIVE MULTIDISCIPLINARY STRATEGIES FOR COMBATING SEVERE DENGUE (COMBAT-HOP-On)

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,Croatia
Call: Hop-on facility (HORIZON-WIDERA-2025-03, 2025)
Duration (months): 43.0
Total project cost (EUR): 594000.0
EU funding (EUR): 594000.0
Participants: 2
Project status: CLOSED

Dengue fever remains a widespread global health threat, characterized by highly unpredictable clinical symptoms and outcomes. One major concern is antibody-dependent enhancement (ADE), a phenomenon that can occur during secondary infections, leading to more severe or even life-threatening symptoms. Additionally, the neuroinvasive and neuroinfective potential of the dengue virus (DENV) can cause temporary or permanent damage to both the central and peripheral nervous systems. The COMBAT project addresses critical challenges in dengue infection by bringing together interdisciplinary expertise, advanced technologies, and insights from endemic regions. Its main goals include improving our understanding of DENV pathogenesis, developing high-throughput and super-resolution tools for virus research, advancing new antiviral strategies, and creating a blood-brain barrier (BBB)–brain organoid co-culture model to study DENV’s neuropathogenic potential. The project also aims to identify predictive biomarkers for patient stratification and develop innovative AI-driven tools for predicting disease severity. The addition of a new partner, Genos, introduces a new dimension to the consortium by adding expertise in glycosylation and DNA methylation—areas that were previously underexplored within the project. Through glycan profiling, Genos will help differentiate between DENV strains, potentially identifying new therapeutic epitopes, contribute to refining monoclonal antibodies developed during the project, analyze glycosylation changes of plasma proteins to help stratify patients, and monitor DENV infection in vivo, as well as reveal glycosylation changes in brain organoids after infection. Meanwhile, epigenetic analyses—especially of DNA methylation in infected macrophages and brain organoids—will enhance our understanding of whether infection-driven gene expression changes are accompanied by shifts in promoter DNA methylation.

Keywords: denv glycosylation,virus induced glycosylation changes,patient stratification markers,brain organoid glycoprofiling,epigenetics,dna methylation profiling
Understanding the law's complex association between criminal insanity and mental disorders (COMPLEX)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Norway
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-08-01
End date: 2030-07-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The fundamental legal doctrine of criminal insanity is found in most legal orders. It concerns a defendant’s lack of capacity for responsible action and defines the justifiable use of punishment. It is a key entrance point for comprehending how law conceives of agency and deviancy, but also a highly controversial legal construct. A major concern is that there is a mismatch between how criminal insanity has been paradigmatically understood in law and how it is today inevitably associated with mental disorders. This doctrine has been formulated in terms of folk psychological notions of rational agency but increasingly relies on psychiatric diagnoses and symptoms, with forensic experts as premise providers in criminal proceedings. However, psychiatric constructs were not developed for criminal law and people diagnosed with mental disorders may have vastly varying functional impairments. Legal research has yet to elucidate how this complexity plays out in criminal insanity rules and judgements. There is a pressing need for cross-country empirical and interdisciplinary legal studies that integrate insights from mind sciences to explore this matter. The lack of legal clarity about the relevance of mental disorders raises concerns about the rule of law, unequal treatment, and criminal justice. COMPLEX will advance our understanding of law’s associations between criminal insanity and mental disorders, with a research design that transcends conventional legal research by combining cross-country empirical studies of current legal doctrines with interdisciplinary analysis of how the normative and factual legal premises about mental disorders involved in these doctrines relate to philosophy and mind sciences. The ambition is to provide a new theoretical framework for understanding mental disorders in criminal law. COMPLEX has the potential to challenge current paradigms and have major implications for both science and society.

Keywords: criminal law,legal doctrine of criminal insanity,legal concepts of mental disorders
Spin Resonance and Time-Resolved Spectroscopy of Optically-Adressable Diradical Qubits (SPECTROBITS)

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,Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 191760.0
EU funding (EUR): 191760.0
Participants: 2
Project status: SIGNED

The rapidly burgeoning field of Quantum Information Science has boosted the efforts to develop materials capable of exploiting the counterintuitive quantum behaviour of matter. Now at the Second Quantum Revolution, the main stumbling block on the route to quantum computers is the lack of quantum materials with ideal properties. Among the wide variety of systems capable to implement qubits in their electron or nuclear spin, carbon-based molecular qubits (MQBs) bring about advantages such as long coherence times, high reproducibility and scalability. However, crucial deficiencies still need to be solved: the lack of single-qubit readout capabilities and the lack of structure-qubit performance relations to exploit the conscious synthesis of MQBs. In this regard, the recent availability of a broad range of stable designs of organic molecules bearing two unpaired electron spins in their ground electronic state, i.e., diradicals, lead an uncharted market for quantum materials. The main selling point of using diradicals as MQBs resides in the possibility of controlling the interaction between the unpaired spins via chemical synthesis. In SPECTROBITS, I will investigate new organic diradicals as MQBs to fill the gap in quantum materials. For this, I will establish a direct relation between the spin-spin interaction in diradicals and their performance as MQBs by developing their initialization, readout and manipulation processes. To this end, I will combine my expertise in (time resolved) spectroscopy of diradicals with the expertise of the host in Electron Spin Resonance and Optically Detected Magnetic Resonance, and with advanced quantum chemistry calculations. SPECTROBITS goes beyond the state of the art by investigating the optical addressability of diradical MQBs spanning the whole range of possible spin-spin interactions and by developing single-molecule readout procedures. The final goal is to use these findings to synthetise tailored diradical MQB architectures.

Keywords: organic diradicals,molecular qubits mqbs,electron paramagnetic resonance epr,optically detected magnetic resonance odmr,time resolved spectroscopy,spin spin interaction
Transformation of energy intensive process industries through integration of energy, process, and feedstock flexibility (TRINEFLEX)

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: Innovation actions
Partnership: Processes4Planet (co-programmed)
Countries involved: Spain,Greece,Finland,Austria,Norway,Italy,Lithuania,United Kingdom,United States
Call: Design and optimisation of energy flexible industrial processes (Processes4Planet Partnership) (IA) (HORIZON-CL4-2021-TWIN-TRANSITION-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 19200488.75
EU funding (EUR): 16271448.0
Participants: 32
Project status: SIGNED

TRINEFLEX is an integrated EII-transformation toolkit following the `X as a service model´. For the end-users (EIIs), TRINEFLEX will function as an end-to-end service managing the plant?s digital lifecycle and the process of transition to flexible and sustainable operation. This process will be enabled by advanced and green data acquisition, Big Data Infrastructures, process analysis, model development and finally Digital Twins with integrated multi-agent decision support systems. TRINEFLEX will be implemented at each of five demonstration sites with unique challenges, from 4 sectors: glass, copper, aluminium and water industries. The implementation will be supported through the integration of transformative technologies (from the energy efficiency, clean energy, sustainable fuels and feedstocks and CCUS sectors), that synergise with the powerful digital solutions to demonstrate flexibility measures towards energy neutrality. Additionally, TRINEFLEX is designed for rapid replicability in these sectors and high transferability in other P4Planet sectors centred on energy flexibility on the short term and industrial symbiosis on the long term. TRINEFLEX will mobilise local stakeholders and communities into new ways of interacting with the energy and process industries: Capacity building, open science, and introducing new forms of sustainable economic activity. Service- and community-based demand/response will be employed to leverage local energy resources, coupled with emphasis on sustainable fuels and feedstocks, accelerating the adoption of industrial-urban symbiosis. 8 large companies, 7 SMEs will work with RTOs and supporting entities to achieve over 8% reduction of energy costs, 18% peak reduction, flexibility cost below 1.2 €/kWh, over 8% energy demand reduction that are projected to yield over 330GWh of energy savings, 45M€ in energy costs and CO2 tax, over 110kt of CO2 averted and over 800 jobs created by 2030. TRINEFLEX private investment is around 4M€.

Keywords: ai,big data,process analysis,renewable energy,virtual power plant,distributed energy storage,demand response,multi agent dss,digital twins
Optimize risk prediction after myocardial infarction through artificial intelligence and multidimensional evaluation (ORACLE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Spain
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 1405894.0
EU funding (EUR): 1405894.0
Participants: 1
Project status: SIGNED

Myocardial infarction (MI) is a leading cause of death worldwide. After MI, long-term antithrombotic therapy is crucial to prevent recurrent events, but increases bleeding, that also impacts morbidity and mortality. Giving these competing risks prediction tools to forecast ischemic and bleeding are of paramount importance to inform clinical decisions, but their current precision is limited. Improve events prediction, by discovering novel and innovative markers of risk would have a tremendous impact on therapeutic decisions and patients’ outcome. I hypothesize that using innovative multidimensional information from wearable devices, biomarkers, behavioral patterns and non-invasive imaging, integrated through artificial intelligence computation, we may discover novel “computational biomarkers” of risk and improve current standards of risk prediction. In this project, I will enroll a large cohort of MI patients, whereby prospective collection of consolidated and innovative potential risk predictors will take place, in order to generate a comprehensive and multidimensional dataset. I will collect data from state-of-the-art non-invasive imaging, blood biomarkers, wearable medical devices of continuous heart electrical activity, sweat, mobility and behavioral patterns to create a large physiological time series allowing patients’ deep phenotyping. We will therefore analyze data leveraging artificial intelligence computation to find relevant associations with clinical outcomes, and compare new algorithms with current risk prediction tools. This research will increase our knowledge on bleeding and ischemic risk factors, enabling enhanced capability predictions models. In the near future, we hypothesize that our clinically-guided Artificial Intelligence algorithm might be integrated in clinical practice, helping clinicians to inform treatment decisions, patients to better understand their risk profile, finally setting a common ground for shared patient/physician decisions.

Keywords: myocardial infarction,bleeding,ischemia,prediction,risk score,artificial intelligence,wearables
Dynamic resource Scheduling in Massive MIMO based NOMA with RF imperfections and Energy Harvesting for 6G networks (YAHYA-6G)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Portugal
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 172618.56
EU funding (EUR): 172618.56
Participants: 1
Project status: CLOSED

YAHYA-6G aims to propose new signal processing solutions doped with machine-learning. We will focus on the detection and compensation of RF imperfections in mMIMO (massive Multiple input Multiple output) based NOMA (Non-orthogonal multiple access) pair . In other hand, YAHYA-6G target is to minimize the long-term power consumption based on the stochastic optimization theory for mMIMO-NOMA IoT networks with EH (Energy Harvesting) in presence of RF imperfections. Thus the objectives of the YAHYA-6G project are: 1- Identify major RF imperfections that may occur in a multi-access / multi-antenna broadband system. 2- Propose new solutions to optimize the energy efficiency at the RF transmitters. This solution will focus on the power amplifier that represents 60 at 70% of the energy consumed in an RF transmitter. 3- Analyze the impact of these RF imperfections on mobile radio systems exploiting NOMA technologies. 4- Propose a Deep Learning online learning process to detect the NOMA channel characteristics and compensate the effect of HPA nonlinearity. A joint detection of the NOMA interference and HPA (High Power Amplifier) nonlinearity will be studied in mMIMO-NOMA system. 5- Resolve a non convex based problem coping with the expected 6G requirements, with a particular focus on optimal resource scheduling and computation capacity allocation and reducing energy consumption of wireless devices, through a set of new algorithms . 6- Realize a demonstrator based on the SDR (Software Defined Radio) USRP cards on which some algorithms developed in the project will be implemented.

Keywords: massive mimo,eh,noma,rf imperfections
AlkaBurst2.0 – A game changing bioreactor for sustainable production of active pharmaceutical ingredients in a consistent, traceable and low cost approach (AlkaBurst2.0)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Challenge: Technologies for Open Strategic Autonomy (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2022-11-01
End date: 2025-07-31
Duration (months): 33.0
Total project cost (EUR): 3586937.5
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Alkion, a revolutionary biotech company, is developing a breakthrough biorefinery to produce top quality active pharmaceutical ingredients (API) and extracts in plants in a sustainable and cost-effective way. Our core technology combines our disruptive patented automated bioreactor-AlkaBurst2.0 with unique knowhow on gene expression methods, culture media and extraction. Our process offers high productivity and a low carbon footprint. The pharma industry is carbon intensive with recurring problems of quality & safety. Moreover, many critical APIs are outsourced to Asia to cut costs. AlkaBurst2.0 allows a local standardised production of safe & clean APIs in its automated process saving 75% time, 80% space, 95% electricity, 98% water. We first validated the production for Covid-19 natural vaccine adjuvants QS21/7, cannabinoids & certain recombinant proteins for the urgent market demand. We need €7.5M to build & validate our pilot and expect to generate €125M revenue by 2028 with 105 job

Keywords: cannabinoids,recombinant protein,culture media,pharmaceutical ingredients,plant bioreactor,immersion bioreactor,covid 19 adjuvants