Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Somatostatin Receptor Inhibitors for Sustaining Muscle and Bone Mass Following Pharmacologically Induced Weight Loss (LEANMASS)

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 GRANTS (ERC-2024-POC, 2024)
Start date: 2025-07-01
End date: 2026-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Obesity affects 1 in 6 adults in Europe, driving demand for therapy. Agonists of the Glucagon Like Peptide 1 Receptor (GLP1RAs) such as semaglutide (Novo Nordisk) and tirzepatide (Eli Lilly) have led to substantial weight loss in millions of patients. However, a large fraction of lost weight is attributed to loss of lean mass: muscle and bone. A reduction in lean mass increases the risk for sarcopenia and osteoporosis – loss of muscle and bone. Our analysis of 748,667 patients using GLP1RAs has shown that most are women, over the age of 50: a population already at risk for muscle and bone loss. Sarcopenia and osteoporosis cause pain, fatigue, limit the ability of patients to perform daily activities, and increase their risk for fractures. With millions of GLP1RA users and an annual direct cost of 5000USD/osteoporosis patient, loss of lean mass can cost billions to health care systems. Growth Hormone (GH) is the natural signal in adults for sustaining lean mass. Results from our ERC project identified pathways that may sustain GH signaling during and after weight loss. We propose to develop novel molecules that will lead to an increase in natural GH secretion. We will test the efficacy and safety of a library molecules we designed for their ability to maintain lean mass during GLP1RA-induced weight loss. The results will secure the intellectual property surrounding the novel molecules and their use. By addressing the underlying causes of muscle and bone loss, we aim to develop a comprehensive solution to the obesity crisis. Our innovative biochemical approach targets the aging population struggling with obesity and has the potential to prevent disease in millions of patients and alleviate a significant burden from healthcare systems.
Designing green and energy-efficient anti-dewetting protocols for liquid chromatography (NODRY)

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: Italy,Spain
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-05-01
End date: 2023-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

High Performance Liquid Chromatography (HPLC) is the leading separation technology in research and industry, which often relies on potentially hazardous and environmentally harmful organic solvents. Water is the ideal environmentally friendly mobile phase, which would open the way to green HPLC. However, its broad applicability is hindered by the phenomenon of dewetting of the stationary phase – the formation of bubbles in the hydrophobic nanoporous material – which makes it unavailable to the substances that need to be separated (“retention loss”). NODRY proposes to develop a unique, experimentally validated simulation testbed based on the PI expertise in theory and simulation of dewetting of nanopores acquired in ERC-StG HyGate. These simulation tools will be deployed to rationally design HPLC protocols capable of eliminating or alleviating the problem of dewetting in most HPLC columns operating with pure water as the solvent, thus opening the way to a green and energy efficient chromatography.
A Cognitive Serverless Framework for the Cloud-Edge Continuum (SovereignEdge.Cognit)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Sweden,Belgium,Germany,Poland,Italy
Call: Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5962092.5
EU funding (EUR): 5962092.5
Participants: 10
Project status: SIGNED

An effective platform for the cognitive cloud-edge continuum must address a number of unsolved challenges, many of them derived from constrained resource devices, infrastructure heterogeneity, and the need to meet criteria such as performance, resilience, security, data sovereignty, and energy efficiency. A disaggregated architecture is required, making use of AI, automation, and portability to manage and adapt resources and workloads, and to respond in real time to possible incidents and security threats. Edge application developers willing to speed up computation, save energy, and cut costs will need a way to combine their edge devices with the many resources available across the cloud-edge continuum. This innovative approach requires computationally-intensive data processing functions to be easily executed outside edge devices, sensors, and actuators. It is with that vision in mind that this project proposes a new distributed Function-as-a-Service (FaaS) paradigm for edge application management and smart orchestration, which will change how applications and services are deployed and executed in the cloud-edge continuum. Our AI-enabled adaptive serverless framework will provide applications with secure and portable access to a continuous data processing environment that abstracts the large-scale, geo-distributed, and low-latency capabilities provided by the cloud-edge continuum. The Consortium combines innovative open source companies in Europe, high-impact research organizations, and several edge application providers. Our research will be validated in relevant application domains, and will establish an ecosystem with links to industrial initiatives. This project will be transformative for the emerging EU edge ecosystem, providing resources and knowledge for start-ups, SMEs, and industry leaders seeking to look beyond centralized platforms and hyperscalers. It will increase European autonomy not only in data processing but also in strategic edge technologies.

Keywords: edge computing,serverless computing
INdustrialised and PErsonalised Renovation for Sustainable sOcieties (INPERSO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Efficient, sustainable and inclusive energy use
Action type: Innovation actions
Countries involved: Spain,Greece,Finland,Italy,Lithuania,Netherlands,Belgium,Switzerland,United Kingdom
Call: Industrialisation of deep renovation workflows for energy-efficient buildings (HORIZON-CL5-2021-D4-01, 2021)
Start date: 2022-07-01
End date: 2026-06-30
Duration (months): 48.0
Total project cost (EUR): 9227196.25
EU funding (EUR): 7491936.5
Participants: 22
Project status: SIGNED

INPERSO is a holistic deep renovation programme addressing the building’s entire lifecycle and combining industrialisation and personalisation. The project will deliver inclusive, affordable, efficient, and sustainable renovation, adaptable to various climate zones and building typologies, but focused on residential and heritage buildings. Aiming to deliver a near-market solution, INPERSO is comprised of five highly exploitable, integrated results (IRs) plus an underlying, human-centric methodology for low-carbon renovation. New technological components leveraging the advantages of prefabrication, pre-integration and robotic 3D printing will drastically reduce the time (>50%) and costs (>25%) of construction, and increase resource efficiency, productivity and quality, coupled with waste reduction (>40%). The project highlights the advantages of digital solutions, by integrating scan-to-BIM, AI, AR and ML into the established RE Suite platform, creating a solid foundation for harmonising information flows and addressing the fragmentation challenges of the sector. These resources will also be used to optimise building energy performance and indoor environment quality, as well as improving the energy footprint of the renovation process, in addition to improving working conditions and safety. INPERSO will be demonstrated in Spain, Netherlands, and Greece, forming energy communities and promoting sustainable energy use. Ambitious upscaling and replication plans, supported by green financing and six business models, will be implemented to generate local and EU-wide impacts. The Consortium consists of 8 research organisations, 8 SMEs, 2 large enterprises and 3 NPOs, privately investing €4.7M in the project.

Keywords: renovation packages
Reliable AI and Data Optimisation (RAIDO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Slovenia,Cyprus,Luxembourg,Spain,Greece,Ireland,Belgium,United Kingdom,Italy,India,France,United Arab Emirates
Call: Efficient trustworthy AI - making the best of data (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2023-HUMAN-01-CNECT, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 7966357.5
EU funding (EUR): 7966357.5
Participants: 32
Project status: SIGNED

RAIDO is a powerful framework solution designed to develop trustworthy and green artificial intelligence (AI). Trustworthy AI focuses on ensuring the reliability, safety, and unbiased optimization and deployment of AI systems, particularly in critical applications such as healthcare, farming, energy, and robotics. On the other hand, Green AI involves the development and deployment of energy-efficient and environmentally sustainable AI technologies, leading to reduced environmental impact and improved resource management. RAIDO provides an array of automated data curation and enrichment methods, including digital twins and diffusion models, to create high-quality, representative, unbiased, and compliant training data. It also offers various data- and compute-efficient models and tools to create energy-efficient Green AI, such as few- and zero-shot learning, dataset and model search, data and model distillation, and continual learning. To ensure the transparency, explainability, and reliability of the optimized AI models and data handling processes, RAIDO uses various XAI methods, decentralized blockchain, feedback-based reinforcement learning, novel KPIs, and visualization techniques. Additionally, the innovative AI orchestrator optimizes related tasks and processes, reducing the overall energy consumption and environmental footprint of the models during both development and deployment. RAIDO emphasizes the development of dynamic interfaces that support the appropriate AI paradigms (central, distributed, dynamic, hybrid) and enable seamless adaptation to the needs of the use situation. Furthermore, RAIDO will be evaluated through four real-life demonstrators in key application domains, such as smart grids, computer vision-based smart farming, healthcare, and robotics, showcasing notable societal and market impact.

Keywords: trustworthy ai green ai ai orchestrator
Computer-Aided Design of Ionic Liquids as Active Pharmaceutical Ingredients (CADAPIL)

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
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-12-01
End date: 2027-11-30
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

The drug discovery and development process is lengthy, costly, and fraught with high risks, often leading to a low success rate for new chemical entities (NCEs) from discovery through to market approval. A major challenge in advancing many NCEs is their poor bioavailability, primarily dictated by solubility and dissolution rates. Additionally, the solid-state nature of many drugs introduces the risk of polymorphism, which can adversely affect both development costs and therapeutic efficacy. An innovative solution to these challenges is the transformation of solid-state active pharmaceutical ingredients (APIs) into liquid salt forms, known as ionic liquids (API-ILs). While API-ILs show great promise for improving bioavailability and mitigating polymorphism, current design approaches are heavily reliant on expert guidelines and checklists, which limits exploration to a narrow chemical space. To overcome these limitations, the CADAPIL project proposes developing novel models for the computer-aided design (CAD) of API-ILs, resulting in a software package, openAPI-ILDesign, that will enable comprehensive exploration of the chemical space of API-ILs. These models and the corresponding software aim to identify new formulations with optimal thermodynamic and physicochemical properties, addressing the bioavailability challenges of NCEs and revolutionizing the design of next-generation drug formulations.

Keywords: computer aided molecular design thermodynamics of charged fluids active pharmaceutical ingredients ionic liquids statistical association fluid theory mixed integer nonlinear programming
Precommercializing a Method For Inducing Muscle Fiber Formation For Industrial Meat Production (SuperFusion)

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 GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-04-01
End date: 2023-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The global population is expected to reach 9 billion mark by 2050 which will cause an increase of 70% on the global demand for food. However, if the global trends of meat and animal products consumption continue at the current rate, the global mean temperature will rise by over 2C despite the emissions of non-agricultural sectors being drastically decreased. Therefore, a growing need exists to develop more efficient protein production options. During embryonic muscle development, myoblasts proliferate and undergo differentiation, a multistep process which requires cell cycle withdrawal, initiation of a muscle specific gene transcriptional program, differentiation into fusion competent myoblasts, and ultimately cell-to-cell fusion to form nascent multinucleated myotubes that mature to form contractile muscle fibers. We have identified a novel signaling cascade, that is easily controlled by a small molecule inhibitor, leading to faster and more robust in vitro muscle formation than can be achieved with the conventional differentiation medium. This occurs through the induction of synchronous differentiation and ultimately enhanced cell-to-cell fusion of the muscle progenitor cells. The discovery of a signaling cascade which enhances myoblast fusion draws parallels to the needs of the newly established and ever-growing field of cultured meat, which builds upon the techniques used for decades in the in vitro study of myogenesis. The cultured meat industry is actively seeking ways to increase production efficiency in order to reach price-parity with the current meat industry. Therefore, taking advantage of processes that can speed up and enhance efficiency of myoblast fusion would facilitate this achievement. The goals of the PoC project are to improve the maturity of our idea by bringing it to higher TRLs (Technology Readiness Levels), implement a pre-commercial prototype of the proposed product and explore its commercialization potential.
Sustainable Circular Economy Transition: From Industrial Symbiosis to Hubs for Circularity (IS2H4C)

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: Netherlands,Spain,Belgium,Türkiye,Portugal,Austria,Germany,Ireland,Greece
Call: Hubs for circularity for near zero emissions regions applying industrial symbiosis and cooperative approach to heavy industrialized clusters and surrounding ecosystems (Processes4Planet partnership) (IA) (HORIZON-CL4-2023-TWIN-TRANSITION-01, 2023)
Start date: 2024-01-01
End date: 2028-01-31
Duration (months): 49.0
Total project cost (EUR): 23311235.0
EU funding (EUR): 19931655.51
Participants: 34
Project status: SIGNED

Existing heavily industrialized areas are currently incapable of adopting large-scale industrial symbioses in terms of shared technology/infrastructure use, waste integration, energy and material utilization, as well as expanding through surrounding ecosystems in an inclusive manner for the society despite many of the EU's key strategic priorities in sustainable regional development. Within this context, IS2H4C proposes an ambitious and efficient innovation and action workplan to develop several solutions for the development of Hubs for Circularity (H4C) in diverse industrial areas of process industry surrounded by rural and/or urban settings in the Netherlands, Germany, Spain, and Turkey. The workplan is shaped by development and deployment of most innovative sustainable technologies and infrastructure integration in four demo hubs and is supported by ground-breaking research on societal, governmental, and business innovation for H4C. IS2H4C scales up industrial areas to H4C via implementing systemic change and integrating the surrounding ecosystems to industrial areas. The project implements a digital collaboration platform to manage the resource, infrastructure and information-sharing within H4C via embedding of decision-support modules in the platform. IS2H4C has the ambition of reducing the energy use, waste emissions, and carbon emissions by at least 10%, 20%, and 30% respectively. IS2H4C will contribute to pave the path towards the development of H4C based on the circularity and resilience requirements of existing and future industrial zones and their surrounding ecosystems by prioritizing resource efficiency, maximizing use of renewable energy, prevention of waste, and promoting industrial/urban/rural symbiosis via reuse and recycling of unavoidable solid, liquid, and gas waste streams. All in all, IS2H4C’s biggest ambition is to promote H4C as Europe’s future sustainable regional development models.

Keywords: process industry,renewable energy,green hydrogen,hubs for circularity,circular economy,industrial symbiosis,urban symbiosis
Renewable energy on the high seas – science-informed and indigenous knowledge-based recommendations for regulatory and governance challenges (HIGH SEAS ENERGY)

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: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 196352.32
EU funding (EUR): 196352.32
Participants: 2
Project status: SIGNED

The high seas are those marine areas under no State's jurisdiction. So far, all marine renewable energy (RE) activity is being conducted under State's jurisdiction. However, recent advances in technology are raising the prospect of carrying out RE activity on the high seas. Currently, only seabed mining activities in the Area have been regulated. The Area is the seabed and ocean floor beyond the limits of State's jurisdiction. From the legal viewpoint, the main gap is a lack of an international regulatory framework, informed by participatory mechanisms and supported by scientific evidence, for RE activities on the high seas, especially regarding their environmental and social impacts. The primary project objective (O) is to provide the scientific community and policymakers with science-informed and indigenous knowledge-based recommendations in support of the development of RE regulation on the high seas. Two specific Os are set to complement the primary O, namely: O1 To advance the use of systematic consultation processes that facilitates research at the crossroads of marine sciences and law. O2 To advance critical knowledge and understanding of environmental pressing issues comparable to the regulation of RE on the high seas, such as deep-sea mining in the Area. A multistep innovative methodology will be adopted, by integrating marine scientific knowledge, consultative processes, and advanced critical research in the subject matter. A case study (interdisciplinary and participatory) involving marine scientists, indigenous and coastal communities and policy makers will be conducted onboard the Research Vessel KronPrins Haakon at the beginning of the project. The case study outcomes will be analysed through critical legal analysis to build a knowledge base for policy recommendations. The project will advance the PI’s career in an international research environment, allowing her to generate independent, high-quality, and reproducible results.

Keywords: high seas,renewable energy,bbnj negotiations,law of the sea convention,climate change,indigenous knowledge,bodiversity,research vessel