Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A medical device for the selective dissection of pathological tissues and fibrosis (CADISS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Belgium
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Surgery is the art of dissecting tissues in order to repair, remove, or replace a diseased or damaged organ. 30% of the global burden of disease can be attributed to surgically treatable conditions. More than 10% of surgical procedures involve critical dissection steps whereby the pathological tissue is carefully separated from the healthy surrounding tissues. These procedures together have an incidence of 150/100.000 people, amounting for 2 million surgeries per year in developed countries. Despite the importance of selective dissection in surgical procedures, the current tools are sub-optimal because they are all still relying either on tearing force or on non-selective cutting that can damage tissues. Auxin Surgery, a pioneer in novel dissection methods, has found a revolutionary system, CADISS, that combines mechanical force with the topical application of a chemical drug, Mesna that weakens adhesion between tissues thereby facilitating the dissection steps and minimizing the damages to health tissues. CADISS saves time, therefore patients need to undergo anesthesia for shorter period, thereby reducing the risks of complications. Moreover, hospitals save money on the usage of operating rooms and hospital personnel and can optimize the occupation of hospital space. The global general surgery devices market size was valued at over €10 billion in 2016 and is expected to grow at a CAGR of 8.5% by 2025. Chemically assisted dissection can be useful in most surgical procedures consisting in separation of two tissues along a cleavage plane and when at least one of these conditions is true: 1) the risk of relapse is present 2) the risk of side-effects through damage of healthy tissue is present or 3) the risk of facing difficulties for the surgeon is present. CADISS will bring our company to international expansion and growth reaching €23.9M in revenues 3 years after market launch.

Keywords: surgery,surgical procedures,chemical assisted dissection,medical device,critical dissection,pathological tissues,fibrosis
Cypergenetic Tissue Engineering (CyGenTiG)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Switzerland,Netherlands,United Kingdom,United Kingdom
Call: FET-Open research and innovation actions (H2020-FETOPEN-1-2016-2017, 2017)
Start date: 2018-10-01
End date: 2024-03-31
Duration (months): 66.0
Total project cost (EUR): 4696250.0
EU funding (EUR): 4696250.0
Participants: 6
Project status: SIGNED

This project addresses a serious bottleneck to the widespread availability of engineered tissues for clinical use: Currently, building of new tissues requires inefficient, manual manipulation that is time-consuming, labour-intensive and introduces high variability in the finished products. Relieving this limitation has implications for both health and wealth. The project will capitalize on the skills of its network of laboratories to build and demonstrate a technology for controlling the development of engineered tissues by optogenetics and closed-loop, self-correcting control. The core technology combines machine vision and computer modelling with optical feedback, through which the computer can alter the behaviour of precisely those cells that need to be stimulated/inhibited, for the tissue to develop toward the planned template. Optical sensitivity will be conferred on cells by synthetic biological techniques. One set of demonstrations will manipulate the growth and differentiation of these cells directly. A more advanced set will use light-sensitive production of signalling molecules by engineered cells to connect optical control to the control of normal, non-engineered cells as could be used for clinical tissue engineering, in 2- and in 3-dimensional systems. Our proposal includes plans for dissemination and academic, industrial and social impacts.

Keywords: optogenetics,systems biology,synthetic biology,on line image analysis
The Neurocognition of Liveness (Neurolive)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: United Kingdom,United Kingdom
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 1927120.0
EU funding (EUR): 1367046.25
Participants: 3
Project status: SIGNED

What makes live experiences special? Liveness is not just central to the performing arts, but to political rallies, sporting events, virtual reality and distance learning in higher education. NEUROLIVE is an inherently interdisciplinary research project, that combines theoretical concepts from theatre and performance studies, artistic research in performance making, psychological experimentation and mobile neuroimaging to understand how liveness is generated and experienced. NEUROLIVE proposes that the live experience can be conceptualized and quantified as a form of sustained entrainment, in which the minds, brains and bodies of performers and spectators are linked. Across three research streams we will combine artistic research (I) and cognitive neuroscience (II) to delineate the contextual, experiential and neurocognitive components of liveness, resulting in four live performance experiments (III). These live performances will be co-developed by performing artists and cognitive scientists with a view to establish an empirically testable, ecologically valid, multidimensional measure of liveness. NEUROLIVE combines dynamic experience sampling with psychophysiology, and mobile EEG. Advanced modelling techniques from machine learning will be used to integrate information from the different experiential, physiological and neural signals. This new measure will be grounded in the aesthetic principles of contemporary live performance, yet should be applicable across artistic and non-artistic performance situations, and to digital liveness in augmented and mixed realities. In this way, NEUROLIVE implements a conceptually and methodologically novel approach to understanding what makes live experiences special.
BIRD RELEASE: REpelLEnt Auto-SystEm (BIRD RELEASE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Netherlands
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-06-01
End date: 2019-11-30
Duration (months): 30.0
Total project cost (EUR): 2074099.5
EU funding (EUR): 1451869.65
Participants: 3
Project status: CLOSED

For decades, farmers have been in conflict with birds. Changing national agricultural regimes and EU directives are among the main reasons for a growing geese population: 60% increase since 1993 to 5 million. Throughout Northern Europe, the rising geese population causes great damage to farmers’ crops (up to 68k per farmer per incident). Bird Control Group offers solutions which eradicate this damage without harming wildlife or impacting geese populations. The overall objective of the project is to bring our next generation system to market: the Autonomous Bird Control Deterrent System (ABCD). This system is able to successfully scare geese without causing harm and has the potential to revolutionise the way farmers deal with geese problems. When a goose enters an agricultural field, it is immediately detected by a smart software-powered camera system that is continuously scanning the field. Based on the movement characteristics of geese, a pattern is chosen to aim a diode laser towards the birds, causing all birds to scare off and leave immediately. Our field trials and scientific research have proven that lasers are 96% effective in deterring birds when applied correctly. Research has shown that our laser is animal-friendly (acknowledged by the World Wildlife Fund) and that birds do not become accustomed to laser, thus giving it a long term effect. ABCD is based on 4 years of R&D and is capable of deterring more than 80% of birds from farmland, while harming none. As a result, farmers are able to avoid thousands of euros in yearly damage. The Netherlands alone represents a 78m€ nearterm market opportunity, while Europe and Northern America account for 260,650 farmers and amount to 4b€. We plan to sell over 4,000 products by 2023, yielding a total cumulative revenue of 33m€. We already have the support from 4 distributors, the Dutch House of Representatives, the Dutch Society for the Protection of Animals, LTO Nederland and Rabobank (letters of support included).

Keywords: bird repellent system,autonomous system,integrated pest management,animal intrusion,agricultural fields,laser system,animal welfare,geese,birds directive
A-PET WELDING AND CUTTING MACHINE (Wel-Cut)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-05-01
End date: 2016-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Transparent packaging is important to businesses on many levels; creating an eye-catching presentation in which customers can see the product can boost sales (see adjacent figure), in operations the condition of the product can be inspected and labels such a barcodes can be read, handling is made easier and the product is protected. Traditionally dominant materials, for example polyvinyl chloride (PVC) are declining in use, while next generation bio-plastics still not in mainstream use, so polyethylene terephthalate – PET – is the industry’s star. The preferred type, amorphous PET (A-PET) is limited in its use due to unsolved manufacturing problems, leading industry to turn towards a glycol-modified version, PET-G, a more expensive and less environmentally-friendly option. Existing packaging machines, which support a variety of materials, are not optimised to handle A-PET, and the packaging quality is compromised. WEL-CUT is an innovative line of A-PET packaging machines that simultaneously achieve cost-effectiveness (A-PET requires less energy), quality (doesn’t compromise clarity nor toughness) and a product with lower environmental impact. As of today, it will be the first solution to produce quality welding for A-PET.

Keywords: welding,cutting,packaging
The effect of β-catenin condensation on the Wnt-pathway (Catenin-Condensation)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

The Wnt-signaling pathway is a key determinant of cell identity and proliferation. However, when aberrantly activated it drives malignant cell proliferation in gastrointestinal cancer, breast cancer, melanoma and leukemia. The key effector protein of the Wnt pathway is β-catenin, which is continuously degraded in unstimulated cells, but in stimulated cells it accumulates and translocates to the nucleus where it activates transcription. A growing body of literature indicates that transcription factors and co-activators interact through the formation of biomolecular condensates. These are membraneless organelles that concentrate and compartmentalise components through weak, but multivalent interactions. Recently, I have shown that β-catenin forms condensates with Mediator co-activator to specifically activate transcription. However, how this new mode of β-catenin interactions influences the rest of the Wnt-pathway is currently unknown. The overarching goal of this proposal is to uncover how β-catenin condensation impacts the Wnt-signaling pathway. I will investigate the consequences of β-catenin condensation for its cytoplasmic regulation by the destruction complex, study how it affects β-catenin co-factor interactions in the nucleus and determine the effect of oncogenic Wnt-signaling on β-catenin condensates. The proposed work will uncover if β-catenin condensation has a function in the Wnt-signaling pathway outside the nucleus, its effect on co-factor interactions and elucidate how it might contribute to cancer etiology. Deeper understanding of the fundamental Wnt-signaling pathway will have a profound impact on our comprehension of embryonic development, adult regeneration and cancer.

Keywords: phase separation,biomolecular condensates,wnt signaling
Blue Combustion for the Storage of Green Electrical Power (BlueStep)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Germany
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-03-01
End date: 2016-08-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The detrimental consequences of global warming and the scarceness of fossil energy resources make an increasing use of renewable energy sources imperative. However, the inherent volatility of most of these energy sources requires both the installation of fast fossil backup power and large amounts of storage capacity. In the ERC funded project GREENEST the fundamentals of an ultra-wet gas turbine cycle are developed. In the proposed project BlueStep : Blue Combustion for the Storage of Green Electrical Power, the idea of ultra-wet combustion is extended towards the demonstration of a very effective and clean energy storage and conversion technology. Excess renewable electrical energy is utilized in a high pressure electrolysis process to produce hydrogen and oxygen. Both gases are stored at high pressure and their combustion, referred to as blue combustion, can be directly incorporated in existing base load steam power plants, resulting in the BlueStep cycle. Combustion takes place in the steam cycle of the plant and the exhaust gases consist solely of steam that can further expand in the remaining stages of the closed steam cycle. Depending on the mode of application, the power output of the plant and the efficiency of the cycle can be enhanced significantly. The proposed BlueStep cycle outclasses competing technologies in terms of efficiency, flexibility, space requirements, and investment costs. In a highly conservative market sector the proposed technology offers an economical and efficient method to realize extensive energy storage. The proposal comprises two key aspects: (1) the demonstration of diluted hydrogen-oxygen combustion under engine conditions to prove the technical feasibility of the technique to future customers; and (2) the development of a thorough business plan for the construction and operation of a full scale BlueStep energy storage plant to show the high economic potential of the concept to future investors.

Keywords: energy storage,steam cycle,grid stabilization,emission reduction
Septins: from bacterial entrapment to cellular immunity (ENTRAPMENT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2019-04-01
End date: 2025-03-31
Duration (months): 72.0
Total project cost (EUR): 2744407.0
EU funding (EUR): 2744407.0
Participants: 1
Project status: SIGNED

The intracellular bacterium Shigella flexneri is an exceptional model pathogen to address key issues in biology, including how bacteria can move inside host cells and escape the immune system. The cytoskeleton has recently emerged to occupy a central role in innate immunity by promoting bacterial sensing and executing antibacterial functions. I discovered that host cells employ septins, a poorly understood component of the cytoskeleton, to restrict the actin-based motility of Shigella and target them for destruction by autophagy, an important mechanism of innate immune defence. However, the processes underlying septin cage assembly, and the breadth of roles for septins in bacterial infection control, remain to be established. I developed zebrafish (Danio rerio) infection models to study the cell biology of Shigella infection in vivo, and to discover new roles for septins in host defence against bacterial infection. This approach has enabled a cutting edge platform for in vivo studies both at the single cell and whole animal level, and provides unprecedented opportunities to follow cytoskeleton dynamics and innate immunity at a resolution that cannot be achieved using any other animal model. I will now exploit the novelty of septin biology, and its direct link to host defence, as the foundation for this research programme. Using Shigella I will: (1) Discover new roles for the cytoskeleton in host defence against bacterial infection, and (2) Investigate the role of septin-mediated host defence mechanisms in vivo using zebrafish models of infection. The results generated from this research programme will provide fundamental advances in understanding septin biology and cellular immunity. They could also suggest the development of new strategies aimed at combating infectious diseases, and possibly other human diseases in which septins have been implicated including neoplasia and neurodegenerative conditions.

Keywords: autophagy,cytoskeleton,septins,shigella,zebrafish
ASPIDE: exAScale ProgramIng models for extreme Data procEssing (ASPIDE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Spain,Italy,Poland,Romania,France
Call: Transition to Exascale Computing (H2020-FETHPC-2017, 2017)
Start date: 2018-06-15
End date: 2021-06-14
Duration (months): 36.0
Total project cost (EUR): 2464093.75
EU funding (EUR): 2464093.75
Participants: 8
Project status: CLOSED

Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in (near) real-time by using a very large number of memory/storage elements and Exascale computing systems. Immediate examples are the scientific data produced at a rate of hundreds of gigabits-per-second that must be stored, filtered and analyzed, the millions of images per day that must be mined (analyzed) in parallel, the one billion of social data posts queried in real-time on an in-memory components database. Traditional disks or commercial storage cannot handle nowadays the extreme scale of such application data. Following the need of improvement of current concepts and technologies, ASPIDE’s activities focus on data-intensive applications running on systems composed of up to millions of computing elements (Exascale systems). Practical results will include the methodology and software prototypes that will be designed and used to implement Exascale applications. The ASPIDE project will contribute with the definition of a new programming paradigms, APIs, runtime tools and methodologies for expressing data-intensive tasks on Exascale systems, which can pave the way for the exploitation of massive parallelism over a simplified model of the system architecture, promoting high performance and efficiency, and offering powerful operations and mechanisms for processing extreme data sources at high speed and/or real-time.

Keywords: data intensive,programming model,productivity,high performance data analytics,data centric,deep learning,urban computing,sentiment analytics,neuro
Advanced signal processing of time-domain data in mass spectrometry to leverage life sciences (Time2Life)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Switzerland
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2015-09-01
End date: 2016-08-31
Duration (months): 12.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Advances in biotechnology, pharmaceutical and life sciences require improved performance of even the most powerful analytical techniques to target the extreme complexity of modern biological samples. Due to its high performance, Fourier transform mass spectrometry (FTMS) is the central analytical technique in biomolecular analysis. Fourier transform (FT) drives FTMS by converting the time-domain (transient) data to mass spectra which, in turn, provide the biological information. Although FT is robust, it is inherently slow due to its strict uncertainty principle. Thus, many life sciences applications of FTMS are suffering from a limited throughput – data acquisition in FTMS should be done faster! Recent innovation results of our ERC Starting Grant “Super-resolution mass spectrometry for health and sustainability” have revealed the incredible power that methods of advanced signal processing, whose uncertainty principles are less strict than the FT one, have to offer to the everyday routine high-performance FTMS. Thus, we have rationally implemented existing and developed novel super-resolution and advanced signal processing methods to substantially speed up FTMS. While fundamental and technical feasibilities of our approach have been evaluated favorably at the lab level, turning these research outputs into a commercial proposition is yet to be demonstrated. Therefore, the aim of Time2Life is to translate our technology validated in lab into a robust industry-grade technology that accelerates high-performance biological mass spectrometry via the advanced signal processing of time-domain (transient) data and thus leverages life sciences applications. The industrial and academic end-users would be able to identify and quantify more analytes (e.g., peptides, proteins and metabolites) and thus enhance biological significance and accuracy of their research and clinical work. Notably, we target the unrepresented by SME area of time-domain data analysis in mass spectrometry.

Keywords: mass spectrometry,fourier transform mass spectrometry,signal processing,super resolution signal processing,proteomics,metabolomics,life sciences