Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
AI-based infectious diseases diagnosis in seconds (EDAS HEALTHCARE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Today, reliable diagnosis of infectious diseases is not available at the Point-Of-Care, when most needed, resulting in Antimicrobial Resistance, High Treatment Costs and Patients’ Dissatisfaction. A growing number of infectious agents – such as pneumonia, tuberculosis, and salmonellosis – with every day are becoming harder to identify and treat correctly without laboratory tests, is the main cause for a massive scale of misuse and overuse of antibiotics. Approximately 30% to 50% of antibiotic use in humans is inappropriate or even unnecessary. Due to lack of diagnosis available (Time-consuming, cost, absence of infrastructure) physicians commonly prescribe antibiotics based on symptoms. However, this approach does not allow to distinguish if the disease is caused by bacteria or viruses on which drug will work and which won't. At EDAS HEALTHCARE, patent approved technology, resulting 5 years of research, developed a data-driven infectious disease diagnosis system that enables the identification of pathogens in real-time. The use of epidemiology and location-based diagnosis combined with big-data & machine learning algorithms results in over 85% accuracy (a case study results). At a fraction of the cost of laboratory tests EDAS Healthcare can provide decision support system to all physicians at any primary care service upon the first patient encounter with the ER or GP or Telemedicine, and help instantly predict the causative agent of infectious diseases (9 different viruses and 5 different bacteria to date). Targeting the infectious disease diagnostic market worth €6Bn p.a. we offer a solution for hospitals ER, Telemedicine, Homecare, and surveillance agencies. Some of them already confirmed their interest in using our service. Within the Phase 1 project we aim at preparing plans for a wide-scale clinical trials, revise our IPR protection strategy and refine our current business model.
Measuring Ages Through Isochrones, Seismology, and Stellar Evolution (MATISSE)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Hungary
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 151850.88
EU funding (EUR): 151850.88
Participants: 1
Project status: SIGNED

To understand our cosmic origins requires understanding the formation of the Galaxy, which in turn requires precise characterization of its fundamental building blocks: stars. The essential nature of this knowledge has driven the Gaia and TESS space telescope missions, but to take full advantage of this, our estimates of non-observable stellar properties must improve at pace. The proposed project uses the unprecedented data volume and accuracy from Gaia and TESS and the Experienced Researcher (ER), Dr Joyce’s knowledge of multiple theoretical dating techniques to derive the best ages possible for stars in the Milky Way. The ER will use stellar structure and evolution models, stellar oscillation programs, isochrones, and novel data science techniques to provide ages for oscillating binaries, metal-poor stars, Gaia benchmark stars, and exotic variables across the mass spectrum. Whereas most stellar modelers specialize in particular stars, the ER is unique in the breadth of her repertoire. Dr. Joyce’s theoretical expertise is the ideal complement to the world-class observers at Konkoly Observatory, whose interests also span a wide range of stellar types. Her supervisor and long-time collaborator, Dr László Molnár, is an expert in stellar variability, member of the TESS and Gaia consortia, and recently tenured academic at Konkoly Observatory, CSFK, an institution with which the ER has long-standing rapport and many other collaborators. The supervisor of her secondment at KU Leuven, Prof. Conny Aerts, is one of the founders and world leaders of the field of asteroseismology. The ER’s role on the development team of the widely used, open-source Modules for Experiments in Stellar Astrophysics (MESA) program will allow her to build broadly applicable and freely disseminated tools with high efficiency. In return, Konkoly Observatory will benefit strongly from the presence of a MESA developer, thus facilitating the transfer of theoretical knowledge as well as technical skill.

Keywords: stellar evolution,asteroseismology,stellar dating techniques,numerical modeling
Blocking peanut allergy through protective IgG antibodies (AllergyBLOCK)

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: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 2
Project status: CLOSED

Food allergies are chronic diseases of increasing prevalence for which there is no approved treatment other than food allergen avoidance. Among all food allergies, peanut allergy is a particularly important public health problem since peanut allergy tends to persist throughout life and is more likely than other types of food allergies to cause severe shock (i.e., “anaphylaxis”) and death. The current paradigm states that peanut allergy is mostly triggered by IgE antibodies. Evidence derived from mouse models indicates that some IgG isotypes can also mediate allergic reactions, but the roles of human IgG in peanut allergy remain unknown. Among the potential treatments for peanut allergy under investigation, oral immunotherapy (OIT) appears very promising since subjects completing OIT tolerate food challenges despite persistent high-titers of IgE in the blood. OIT consists of the administration of slowly increasing doses of the allergenic food and is associated with the production of large levels of IgG, but a direct link between these antibodies and the beneficial effects of OIT has not been demonstrated. We hypothesize that peanut allergic patients produce both pro-allergic and protective IgG, and that successful OIT is associated with an increased production of protective IgG that are particularly potent at blocking the allergic reaction. We propose to test this hypothesis by developing and exploiting humanized mouse models of peanut allergy, combined with the use of clinical samples and purified IgG from peanut allergic patients completing a phase 2 OIT clinical trial. Finally, we aim at establishing the proof of concept that recombinant protective human IgG could be used to treat peanut allergy and improve the safety and efficiency of current OIT protocols.

Keywords: food allergy,immunotherapy,immunoglobulin
Fatigue damage at mesoscopic level. Fatigue life prediction in conjunction with acoustic emission signals (FADAMES)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Fatigue is the primary damage mechanisms of structural components that usually occurs in three stages: crack initiation, growth of short cracks and growth of long cracks. At macroscopic level, the fatigue damage of materials and respectively failure of structural components, is influenced by the loading mode, geometry, material properties and environment. There are many factors to be taken into account and implicitelly this falls upon the prediction level. Passing to mesoscopic level, the loading mode and geometry effects are included on the stress and strain state and the prediction of fatigue damage depends by the interaction between the stress and strain state and respectively the crystallographic characteristics of material grains. Therefore, it is expected that the prediction level of fatigue damage to be higher and this is confirmed by the studies already initiated. This project proposes an extension of mesoscopic level studies for real loading cases characterized by multiaxial stress and strain states. To analyze the interaction between the multiaxil stress and strain state and crystallographic characteristics of material grain, the project involves both numerical analyzes using submodeling technique and experimental techniques for monitoring the fatigue damage. Acoustic emission technique will be primarily used and simultaneously deeply explored. The purpose of using this technique is to establish clear connections between the mechanisms that generate acoustic signals and the fatigue damage at mesoscopic scale. As the results of this interdisciplinary research consists on the one hand the development of a new concept for fatigue life prediction based on the physical degradation mechanisms of the materials. On the other hand, the investigation results in the development and improvement of the acoustic emission technique, already known as one of the most promising techniques of Structural Health Monitoring.

Keywords: fatigue damage,acoustic emission,multiaxial loading,crystallographic characteristics,numerical simulation
Scaling MazeMap to a global provider of indoor maps (ScaleMazeMap)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Norway
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-01-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

MazeMap is developing a unique solution to automatically produce fully searchable and linkable indoor maps from digital building floor plans. By using AI methods MazeMap can produce indoor maps much more efficient than any known competitor today. The latest benchmark shows that we produce 1.000 rooms per hour of manual work. The amount of manual work required is the limiting factor for making indoor maps commonly widespread. The IPIN (indoor positioning, navigation and positioning) market is currently growing by 42% per year according to the latest report from the market analytic TechNav. Analytics expect the market to surpass the outdoor map, navigation and position market, which is a 100 Billion USD market. We are currently conducting large-scale pilots with selected customers worldwide, including Norway, Sweden, Denmark, UK, South Africa, Dubai, New Zealand and the U.S. In august 2016, we helped our users more than 200.000 times. The initial focus has been on universities and hospitals that have large buildings and campuses, where our main competitive advantage is greatest. Our effort in these verticals has been noticed. In the latest report from the market analytic TechNav, MazeMap was described as a prominent vendor alongside Waze, Google, Intel, TomTom and a few other vendors in the location based services market in the U.S. We were also described as a prominent vendor in their last global report on the IPIN market from December 2015. The next step is to scale to become a global market leader in our selected verticals. This involves scaling sales and delivery. To become a global player we need to scale through channel partners. This effort has just started, but we are already a Preferred solution partner of Cisco globally and selected as provider of indoor maps at several app vendors including the U.S market leader Willowtree Apps. We apply for funding in order to scaling both delivery and sales to become the market leader in selected verticals

Keywords: indoor maps,indoor navigation,scaling,automation,artificial intelligence methods
Creating a new paradigm of business value creation by fostering collaboration and data sharing while minimising the cost of business transformation (DEMS-Nixus)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-09-01
End date: 2021-02-28
Duration (months): 18.0
Total project cost (EUR): 2863500.0
EU funding (EUR): 2004450.0
Participants: 1
Project status: CLOSED

In order to keep competitive, companies need to integrate large volumes of data from multiple disparate sources and return insights immediately. The current approach to the digital transformation is based on fragmentation: isolated and customised tools for different areas of the organisation. In today's complex and fast changing environment, this approach is no longer effective to manage business strategies and objectives due to: 1)lack of integration, 2)lack of interoperability and collaboration, 3)large time-to-value, 4)high costs, and 5) lack of transparency. Managers end up taking gut-feel decisions instead of data-driven ones. Global Data Excellence (GDE) brings DEMS-Nixus, the only complete solution for automated Data Integration, Data Cleansing, Business Intelligence, Data Governance and Data Sharing. The platform is the first end-to-end solution able to process natural language with no deployment or programming effort from the client side. DEMS-Nixus drastically accelerates the speed of business value creation (from 3-6 months to 3 days) minimising the cost of business transformation by 80%. GDE operates on the B2B market through a SaaS model. GDE is planning to sell two initial packages: the DEMS-Nixus basic software and the Data Excellence Framework (optional package with additional services). The pricing model will be completed with a yearly-fee license that depends on the number of 1) defined business rules, 2) unique records, and 3) domains. DEMS-Nixus will be introduced first in the markets where GDE is operating already. Existing clients have shown interest in the new product and will act as early adopters of the technology. Afterwards, DEMS-Nixus will start the expansion to other European markets, US and Canada. DEMS-Nixus represents a real innovation for the cross-organisational data governance, generating €96.3 M in sales in this period, and a total net profit of €11.2 M. Moreover, the company will create 19 new direct jobs during the project.

Keywords: data intelligence,artificial intelligence and decision support,intelligent systems,multi agent systems,security,global governance,international law,human rights,data markets,data value chains
Mechanistic analysis of piRNA precursor nuclear export (RNA Smuggling)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 174167.04
EU funding (EUR): 174167.04
Participants: 1
Project status: SIGNED

Nuclear export of newly synthesized RNA to the cytoplasm is an essential step in eukaryotic gene expression, yet the participating proteins and their interplay remain poorly understood at the molecular level. Here, I propose to study RNA export of a family of long non-coding RNAs to elucidate fundamental principles underlying the regulated assembly of export-competent RNPs. I will focus on the precursors of piRNAs, a class of small regulatory RNAs. These transcripts are generated by RNA Polymerase II from heterochromatic, transposon-rich loci and are processed into piRNAs in the cytoplasm to specify transposon silencing. Notably, piRNA precursors violate mRNA quality control hallmarks and thus have to bypass degradation in the nucleus for their export. For this a specialized pathway evolved, combining canonical mRNA export factors with novel or neo-functionalized components. I propose a holistic approach combining quantitative biochemistry, structural biology and genetics to integrate known and novel components into a coherent model of piRNA-precursor export. I aim at understanding (1) the recruitment of export factors to sites of transcription, and (2) the nature and regulation of a nuclear piRNP complex consisting of piRNA factors and the canonical mRNA export components UAP56 and THO complex. The molecular function and regulation of these highly conserved proteins is poorly understood. Elucidating how piRNA-precursor export hijacks canonical RNA export factors to avoid mRNA quality control thus holds great promise to uncover general principles of RNA cargo loading onto NXF family proteins and the molecular principles of nuclear RNA export.

Keywords: drosophila,gene expression,transposon control
To develop a novel class of metalloenzymes for application in novel asymmetric C-H activation chemistry. (METENZ)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United States,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2018-03-31
Duration (months): 36.0
Total project cost (EUR): 251857.8
EU funding (EUR): 251857.8
Participants: 3
Project status: CLOSED

Chemical synthesis through the activation of inert C-H bonds allows scientist to efficiently assemble complex organic molecules which have specific function. We aim to develop a novel class of metalloenzymes, where a transition metal catalyst is embedded into a genetically engineered protein, for rhodium catalysed asymmetric C-H activation reactions. We believe that the approach of incorporating a transition metal into a protein will allow for precise control of the chemical environment around the transition metal, allowing us to control many key outcomes of the chemical reaction such as enantioselectivity, regioselectivity and reaction rates. This technology will allow for the development of C-H activation reactions that have previously been inaccessible to the synthetic chemistry community.

Keywords: metalloenzyme chemical biology asymmetric synthesis c h activation
Next generation of 3D multifunctional materials and coatings for biomedical applications (NEXT-3D)

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: Information Science and Engineering
Countries involved: Australia,France,France,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-06-01
End date: 2018-05-31
Duration (months): 36.0
Total project cost (EUR): 274500.0
EU funding (EUR): 193500.0
Participants: 8
Project status: CLOSED

NEXT-3D is an innovative European-Australian project that consists of 4 academic and 2 non-academic members. The research methodology is based on the multi-disciplinary and inter-sectorial collaboration among the network participants and focuses into main themes: 3D Printing, Enhance Coating, and medical translation with the main aim to develop the next generation of multifunctional 3D materials for orthopaedic and dental implants. Multifunctional materials with drug delivery properties and antibacterial properties are desirable by clinicians. These materials promote healing and can reduce and prevent from unexpected effects on patients. Research will be conducted following a multi- and inter-disciplinary research methodology designed to develop innovative biomedical materials using advanced processing technologies (3D laser printing and sintering) with market potential. The proposed research and innovative programme will lead to the advancement of knowledge in the field and to new materials with superior properties.

Keywords: multifunctional coatings,drug delivery,antimicrobial,medical implants,multidisciplinary,interdisciplinary research
Going from Phenomenal to Access Consciousness: Neurobehavioural correlates of visual consciousness development and its underlying cognitive procesess. (PtoACons)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

The concept of visual consciousness is notoriously hard to define. According to Block (1996),visual consciousness, rather than being unitary, is an hybrid theoretical construct that includes at least two discernible concepts: Phenomenal or P-consciousness, which represents the experiential properties of our perceptions, and Access or A-consciousness, which refers to the availability of part of the visual information for use in reasoning and rationally driven action. Intriguingly, according to Lamme (2003), the two types of consciousness can be linked to different stages of visual information processing. Specifically, P-consciousness is related to the iconic memory content of the original visual experience, while A-consciousness is associated with the working memory content of a “survived” piece of the original experience, after different processing stages. The route from P- to A- consciousness (PtoACons) involves several cognitive processes, such as attention, memory, decision-making and metacognition, which are intermingled and spatiotemporally overlaped. This route emerges from the activity of multiple neurons interconnected by local visual and global fronto-parietal brain networks. Despite that in the last years has been done a significant progress on the knowledge of the brain circuits of visual consciousness, its precise functional organization and neural dynamics are still largely unknown. The present project aims to scan the spatiotemporal evolution of visual consciousness, by combining psychophysical measures, MEG recordings and patients’ studies. More concretely, it attempts to dissociate the behavioural responses and neuro-functional correlates of P- and A-consciousness and to elucidate how several attentional mechanisms and memory processes are involved in the development of the conscious content.

Keywords: visual consciousness,attention,neglect patients,working memory,metacognition,frontal patients