Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Training in Extracellular Vesicles: for benefit in Health and Disease (TRAIN-EV)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Germany,Estonia,Italy,Ireland,Belgium,Hungary,France,Netherlands,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-10-01
End date: 2022-03-31
Duration (months): 54.0
Total project cost (EUR): 3724252.54
EU funding (EUR): 3724252.1999999997
Participants: 10
Project status: SIGNED

Exosomes and microvesicles/ectosomes, collectively termed extracellular vesicles (EV), have attracted much recent interest because of their potential functions, use as disease biomarkers and possible therapeutic exploitation. Due to their enormous relevance, this relatively new field of research is quickly expanding. While Europe leads the field of EV research, there are still many gaps in knowledge that need to be addressed to ensure optimal exploitation of EVs from health and Europe’s economic benefit. Addressing this, TRAIN-EV’s objective is to provide excellent and integrated multi-disciplinary and inter-sectoral training of a critical mass of ESRs of outstanding potential in the academic, clinical, and industry/business components of exploiting EV, while performing novel cutting-edge research to address these gaps and generate new knowledge. This will be achieved by appointing 15 ESRs into 10 Beneficiary Organisations (6 academic; 4 non-academic), with 4 additional Partner Organisations (3 non-academic; 1 academic) offering secondments, training and additional networking opportunities. All Participants have highly relevant and complementary medical/science/engineering/business expertise –detailed within– that will collectively contribute to the training, to PhD level, of these 15 ESRs as academic and industry EV leaders for the future.

Keywords: extracellular vesicles,exosomes,cell to cell communication,cancer,inflammation,autoimmunity,biomarkers,therapeutic targets,drug delivery,training,industry,clinical,academia
A compact and versatile kit for wireless power supply (Aladyn System Ph1)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

To date, cable installations have dominated our way of understanding the electricity supply, but there are specific places where an electrical wiring is costly and difficult to install. Batteries and alternatives based on electromagnetic induction are presented as a portable solution that avoid the use of cables, yet they are not able to meet the demanding power requirements for most of devices. Aladyn System aims at launching to the market a novel wireless power technology based on magnetic resonance. This compact power source is easy to install and modular providing a great versatility versus other power alternatives. With that aim, we have developed a wireless power prototype, which complies with standards and we are in contact with lighting sector companies to guarantee our solution production. However, we still need to carry out full operational test to achieve the necessary certifications to be able to commercialize Aladyn, along with the design of a miniaturized Aladyn version. In order to guarantee our presence into the market we also need to forge commercial agreements with other strategic companies and potential clients as well as several dissemination and exploitation activities as attending specialized lighting and technology fairs and conferences. The market for Aladyn system is the wireless power market which was valued at € 2.5 bn in 2016 and its forecast is to grow at at a CAGR of 23.15% between 2017 and 2022. Following our business plan, we are going to produce near 17,000 units during the first year, achieving 60,000 units by the last year. In order to accomplish our goal, we have planned an investment of € 1 Million for the Aladyn project attainment. Based on the profitability of the project and assuming an average price of 100 € for each basic kit, we expect a cumulative revenue of €11.1 M by the third year, meaning a cumulative cash flow of € 9.2 M which considering a 3-years forecast will give us a ROI of 347%.

Keywords: wireless power,inductive coupling,resonant coupling,resonant converter,magnetic phase synchronous coupling
P53-dependent Metabolic and Epigenetic Reprogramming in Carcinogenesis (MetEpiC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-04-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

Carcinogenesis is a multi-factorial disease which combines genetic mutations, aberrant epigenetic landscape and altered cell metabolism. TP53 which is the most mutated gene in human cancers, is known to regulate cell metabolism. It has been recently established that the metabolic status of cells can modulate the epigenetic landscape. The goal of this proposal is to characterize metabolic-driven modulation of epigenetic landscape during carcinogenesis using TP53 mutated cancers as models. In this project, we plan to address how TP53 mutations alter cell metabolism and the epigenome, thus creating abnormal gene expression facilitating carcinogenesis. Thanks to our preliminary data we will focus our attention on Acetyl-CoA metabolism and histone acetylations. This project will take advantage of state-of-the art approaches such as metabolomics, epigenomics and transcriptomics. My expertise on epigenetics and metabolism, as well as the expertise of the supervisor in the field of TP53 and carcinogenesis, are major assets for this project. Altogether, we expect that unraveling novel mechanisms interconnecting TP53 mutations, cellular metabolism and epigenome will provide new insights for understanding cancer development. Moreover, we expect to propose innovative strategies to tackle cancers harboring mutated TP53 thanks to combination of drugs targeting metabolism and the epigenome. This fellowship will definitively help me to conduct a unique and promising research line in the European Community with the final goal to establish myself as an independent scientist.

Keywords: epigenetics,histone acetylation,metabolism,acetyl coa,cancer,p53 mutations,transcription,oncogenesis,drug
Machine learning software to design personalized neoantigen vaccines tailored to specific vaccine delivery systems (MEDIVAC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-05-01
End date: 2021-10-31
Duration (months): 30.0
Total project cost (EUR): 3143437.5
EU funding (EUR): 2200406.25
Participants: 1
Project status: CLOSED

Cancer is arguably the most feared of all diseases, destroying lives regardless of the age of its victims. Immunotherapies are currently regarded as the most promising avenue to delivering the holy grail of medicine i.e. providing a cure for cancer. Despite their Nobel-winning status, personalisation of immunotherapies remains akey challenge to which no cost-effective solution currently exists. Current methods for identifying the immunogenic neoantigens required to design patient-specific cancer vaccines typically utilize next generation sequencing (NGS) analysis of DNA and RNA coupled with wet lab methods (e.g. spectroscopy). However, these approaches are time consuming to perform, expensive and not readily scalable–which currently prohibits the mass roll-out of personalised cancer vaccines. Despite the fact that intensive research has been dedicated to developing prediction algorithms which can identify immunogenic neoantigens from NGS data from tumor samples, their accuracy has not yet reached a competitive performance compared to wet lab methods. To bridge this gap, OncoImmunity (OI) has developed a comprehensive machine learning framework, trained using public and proprietary datasets to optimise performance. Once fed with patient NGS data from healthy and tumor tissue, OI’s algorithms identifies the most clinically relevant neoantigen candidates, with an unmatched accuracy (4-fold increase of prediction accuracy), which can be subsequently engineering into personalised vaccine cancer constructs. Considering the potential of personalised therapy within cancer immunotherapy, OI’s core technology meets all the requirements to become a key enabling technology, providing cost-effective, scalable and sensitive identification of clinically relevant targets for vaccine development. Thus, it has the potential to serve as a cornerstone to revolutionize the fight against cancer – while untapping an immense business opportunity to fuel our company’s growth.

Keywords: cancer vaccines,neoantigen prediction,artificial intelligence,next generation sequencing
Structure Theory for Directed Graphs (DISTRUCT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2021-06-30
Duration (months): 72.0
Total project cost (EUR): 1826773.0
EU funding (EUR): 1826773.0
Participants: 1
Project status: CLOSED

Structural graph theory has proved to be a powerful tool for coping with computational intractability. It provides a wealth of concepts and results that can be used to design efficient algorithms for hard computational problems on specific classes of graphs that occur naturally in applications. In many applications in computer science, the natural mathematical model are directed graphs. Unfortunately, research in structural graph theory has so far almost exclusively focussed on undirected graphs and no structure theory for directed graphs comparable to the tree-width and graph minors based approach for undirected graphs has been developed that would provide for a similar set of tools and concepts to deal with computational problems on directed graphs. The objective of this proposal is to develop such a structure theory aimed specifically at algorithmic applications on directed graphs. The novelty of our approach is that a) it is based on directed minors which allows us to avoid the algorithmic problems faced by existing digraph width measures and has not been studied before in this context and b) it facilitates our recent proof of the excluded directed grid theorem which is likely to allow entirely new algorithmic techniques for directed graphs. The focus of the project is on the development of the structural foundations and algorithmic techniques for designing efficient algorithms for a wide range of algorithmic digraph problems. In particular, we will use an approach based on logical definability for developing such algorithmic techniques. Furthermore, we will apply our methods to two specific application areas, model-checking in computer-aided verification and inference problems in Bayesian networks.

Keywords: algorithmic graph structure theory,computational logic,complexity theory
Law, Governance and Space: Questioning the Foundations of the Republican Tradition (SpaceLaw)

Framework: Horizon 2020 — 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: Finland
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-05-01
End date: 2024-02-29
Duration (months): 70.0
Total project cost (EUR): 1994326.0
EU funding (EUR): 1994326.0
Participants: 1
Project status: SIGNED

Administrative professionalization is the hallmark of a modern state, but its origins contain a dilemma. Why there were no offices in ancient Rome? How is it possible that it nevertheless formed the model for the Western administrative state? The purpose of this project is to challenge earlier research and to propose a new model of the Roman Republican governance that integrates domestic and private space and to reinterpret its links with the Republican tradition. The significance of these issues extends much beyond this: the development of administrative space in the European context amounts to nothing less than the emergence of the concept of public. Ever since Weber, the conceptual separation of the office and its holder has defined the European way of governance. The origin of this separation of public and private has often been seen in the Roman Republican state with its strict responsibilities, term limits and defined powers of its magistracies, who operated in open public spaces. Using unconventional methodological tools to challenge the conventional view, the project explores the social and cultural dimensions of legal and administrative space, transcending modern assumptions of public and private. Two main research questions explore the confrontation of ideas and their contexts from the Roman Republic to modern Republicanism: 1) How the conflict between Republican ideals, political power and administrative practices transformed the spaces of administration? 2) How this conflict changed the social topography of Rome, the public and private spheres of governance? While much of the earlier research on Republican administration has been constitutional, focused on sovereignty or the individual magistrates, this project advances a radical new interpretation through spatial and topographical analysis. It is a comprehensive re-evaluation of the Roman administrative tradition and its links with the European heritage through the lens of administrative space.

Keywords: legal history,roman law,constitutionalism,republicanism,administration,sociology of space
Improved Estimation Algorithms for Water Purification and Desalination Systems (PURE-WATER)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Saudi Arabia,Germany,Cuba,Poland,Denmark,Peru,Mexico
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 372600.0
EU funding (EUR): 271400.0
Participants: 8
Project status: SIGNED

Sustainable access to drinking water and providing usable water supply for adequate sanitation and also for irrigation based agriculture forms one of the major challenges for the global society in the 21st century. The major subject of the PURE-WATER project are water purification and desalination processes. As a crucial part of a functional water resource management system, the information processing and monitoring of the respective water filtration and refinement procedures are subject to high requirements for accuracy, real-time standards and reliability. From a system engineering perspective, major issues regarding the complex underlying physical principles are to gain an appropriate mathematical description of the dynamic behavior combined with an adequate parameterization and knowledge about the internal state conditions of the distributed processes via intelligent sensor data evaluation in spite of external perturbations. This is required for an efficient and safe water plant control setup. The consortium will work together on developing a robust and online implementable modulating function based estimation scheme that includes observers for nonlinear and distributed hydrodynamical systems with an additional fault detection and isolation concept to identify failing operational conditions such as membrane fouling impact. The designed methods are validated in simulation and an experimental test bench is developed for testing the designed algorithms in a realistic environment. Furthermore, a smart sensor configuration will be designed for joint measurement and data evaluation devices. This is accomplished by combining the expertise from academic partners on the fields of observer design as well as system modeling and simulation with the experience from industrial partners on waste water treatment, desalination and integrated sensor systems by exchanging knowledge between scientists from Europe, Latin America and the Middle East coordinated by EU members.

Keywords: robust and optimal observers,membrane systems,modulating functions,distributed system dynamics,experimental test bench
Industrial and regional valorization of FoF Additive Manufacturing Projects (FoFAM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Coordination and support actions
Partnership: FoF (cPPP)
Countries involved: Spain,Belgium,Netherlands,United Kingdom
Call: Support for the enhancement of the impact of FoF PPP projects (H2020-FoF-2014, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 348210.0
EU funding (EUR): 348210.0
Participants: 4
Project status: CLOSED

Additive manufacturing (AM) has been highlighted as a key technology with potential for creating sustainable high value European based employment, addressing societal issues and supporting environmental sustainability. The processes based on Additive Manufacturing spans many industries, including automotive, medical, aeronautics, defense, capital and consumer goods and do-it-yourself concept, energy, etc. AM has demonstrated to possess the capability to generate future revenues, to develop novel disruptive business models, not seen up to date, that could help to keep manufacturing in Europe competing with emergent countries. All those are heavyweight reasons for Europe to make specific efforts to define a plan of action in the field. This strategy should include detail implementation plan defining innovation sectorial chains from design phase to target commercial products. It should define TRL aspect in each link of the chains, type of stakeholders to carry out the tasks, timeline and priorities. Moreover, in order to have a complete success should also involve not only technology stakeholders but also policy makers. On this basis, FoFAM project takes up the challenge of clustering technology developments on AM and place them into defined value chains in lead markets for Europe. The project intends to identify gaps for business development and to attack them with specific actions and timeline. It also includes high involvement of European regions to ensure an efficient use of structural funds associated to them. FoFAM also address not only technological aspects but also aims at identifying other horizontal economical and societal issues that will be taken into consideration to ensure AM industrial deployment. To involve high number of key stakeholders , the project has achieved the support of project coordinators of FoF projects, European Technology Platforms, EFFRA, European Business and Innovation and European Regions Research and Innovation Networks.

Keywords: additive manufacturing,project clustering,market value chains,exploitation and transfer of projects results,smart specialization ris3,dissemination,alliances
Intelligent electronic automotive systems repair support tool for auto repair technicians (WireVision)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2020-01-01
End date: 2020-08-31
Duration (months): 8.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Context Automobile electronics are increasingly complex. Automobile wiring harness’ contain up to 1000 different connectors. There is no general standard. In turn, every connector needs to be removed using a certain extraction tool when being fixed within workshops. Problem The process of repairing automobile electrical systems can be extremely slow and difficult for most mechanics. Currently, mechanics must search manually to find information about the connector using catalogues. Often these mechanics not only take several hours to repair the fault, but often fail to effectively carry out the repair, either damaging other components or repairing the wrong connector. The end result is that faulty cars continue on the road, potentially polluting more, are unsafe and will need to be returned to the workshop, creating a bad reputation for the automobile manufacturer. This is significant when it is estimated that, when applied across an entire car model, 1 minute saved in a workshop saves 1 million for an OEM every year. Solution We have developed WireVision, a smart connector identification and repair tool app that supports technicians to identify the correct connector in a wiring harness when fixing an automobile. Our solution offers: - Repairs to automobiles to be made by non-skilled technicians. - Safer automobiles that produce less pollution. - A reduction of car down time by several hours, reducing costs for OEMS. Project The aim of the phase I project is to improve our understanding of the market and to help map out a clear route to market. For phase II, we envisage to scale up the technology and build a commercial and operational strategic plan to demonstrate these aspects to OEMs on a large scale. Market Opportunity We estimate that WireVision could be used as the main tool for supporting automobile workshops fix wiring harness system connectors, which will have an estimated global market size of over €106 billion by 2025.