Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The first-in-class disease-modifying drug for chronic airway disorders (BRONCHOTHELIN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Iceland
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 3578020.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

EpiEndo Pharmaceuticals is a drug development company focused on developing novel drugs that target epithelial differentiation and enhance regeneration and barrier function. In contrast to the prevailing anti-inflammatory approach to respiratory drug discovery, EpiEndo has come up with a novel paradigm-changing platform to develop drug candidates that alter (respiratory) epithelial stem cell differentiation and enhance epithelial regeneration of the airway epithelium. By rational design we have discovered and developed Bronchothelin, is the first-in-class disease-modifying treatment for Chronic Obstructive Pulmonary Disease (COPD), a non-antibacterial macrolide with excellent safety and efficacy profile, poised to provide 50% reduction of COPD hospitalisations and preventing COPD-related mortality, without inducing antimicrobial resistance associated with the use of macrolide antibiotics. COPD is a progressive and currently incurable lung and airway disease affecting >250M patients annually, causing >3.17M deaths globally. Current therapies include inhaled bronchodilators or anti-inflammatory corticosteroids that provide symptomatic relief but fail to slow down the progression of the disease or reduce associated mortality. 22M COPD patients are being treated globally and the COPD drug market is predicted to grow from >€13B to >€18B in 2026. Even when capturing a conservative 3.5% market share, Bronchothelin has a blockbuster potential with >€4.9B sales in EU and US combined, predicted 5 yrs after market introduction (2027). Bronchothelin is now ready to enter FIH study. After completing the Ph2 clinical trial, we aim to commercialize through a licensing deal (2023) with a pharma company for further clinical development (Ph3) and sales, generating an estimated €150-€230 million in upfront/milestone payments and additional 8% royalties on sales, being €412M in year 5 after launch.

Keywords: copd,respiratory diseases,oral drug,epithelium,epithelial barrier,epithelial function,airway diseases
Uncertainty Quantification for Composite Structures Under Impact Loading (CERTAINTY)

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-2019, 2019)
Start date: 2021-01-04
End date: 2023-01-03
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Carbon fibre reinforced composites (CFRP) have been increasingly used in aeronautical/aerospace structures given their outstanding specific stiffness and strength. However, CFRPs exhibit weak through-thickness strength, making them susceptible to impact damage, a design driver for aerostructures. Induced impact damage may reduce the compressive strength of the structure, and the inherent complex damage mechanisms of CFRP are difficult to predict. With a better predictive capability, structural design could be faster, cost effective and lead to a lighter and more damage tolerant nal structure. In reality, experimental characterisation of these CFRPs reveals appreciable variability of material properties, attributed to a complex heterogeneous microstructure, among others. This action (CERTAINTY) aims at developing the next generation methodology for predicting the mechanical response of CFRPs under impact loading by accounting for uncertainty in material properties and harnessing this in a physically-based damage model across different scales. CERTAINTY will provide a robust computational framework by introducing probabilistic models in contrast to traditional deterministic ones, by employing: Monte Carlo and metamodel techniques when the Monte Carlo approach is not suitable. CERTAINTY will further enable the researcher to establish collaborations with leading industrial partners. Targeted training will enable the researcher to develop a research career as a world expert in the design of CFRP aerostructures quantifying uncertainties associated with damage modelling. By demonstrating how damage mechanisms vary in a CFRP under impact loading, taking fracture toughness and material parameters variability into account in the damage modelling, the researcher and the host will be at the forefront of developing the next generation methodology for designing advanced lightweight aerostructures, delivering a key differentiator for the European aerospace industry.

Keywords: composite structures,uncertainty quantification,fracture toughness,damage mechanisms,compression after impact,finite element modelling
MRI and Ultrasound Robotic Assisted Biopsy (MURAB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Robotics SPARC (cPPP)
Countries involved: Austria,Italy,Germany,Netherlands,Netherlands,Netherlands
Call: Robotics (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2020-06-30
Duration (months): 54.0
Total project cost (EUR): 4343307.5
EU funding (EUR): 3982307.5
Participants: 7
Project status: CLOSED

The MURAB project has the ambition to revolutionise the way cancer screening and muscle diseases are researched for patients and has the potential to save lives by early detection and treatment. The project intends to create a new paradigm in which, the precision of great medical imaging modalities like MRI and Ultrasound are combined with the precision of robotics in order to target the right place in the body. This will be achieved by identifying a target using Magnetic Resonance Imaging (MRI) and then use a robot with an ultrasound (US) probe to match the images and navigate to the right location. This will be done thanks to a new innovative technique, which will be developed in the project and called Tissue Active Slam (TAS) which will use different techniques and modalities, like elastography, in order to cope with the deformation of the tissues. Such a procedure has the potential to drastically improve the clinical workflow and save lives by ensuring an exact targeting of (small) lesions, which are visible under MRI and not under US. Technologies developed within MURAB also have the potential to improve other clinical procedures. Clinically, two applications will be targeted and validated in the project: breast cancer diagnostics (MUW and ZGT) and muscle disease diagnostics (UMCN). Considering the potential for the market, industrial partners are involved with expertise in the delivery of safe robotics components and applications (KUKA), as well as with great knowledge and ambition in pushing innovation to the medical market (SIEMENS).

Keywords: robotics,diagnostic biopsies,ultrasound
Female cancer prediction using cervical omics to individualise screening and prevention (FORECEE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Germany,Austria,Germany,Italy,Norway,Sweden,Czechia,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Health promotion and disease prevention: translating 'omics' into stratified approaches (H2020-PHC-2014-two-stage, 2014)
Start date: 2015-09-01
End date: 2020-02-29
Duration (months): 54.0
Total project cost (EUR): 7994746.25
EU funding (EUR): 7994746.25
Participants: 15
Project status: CLOSED

While prevention of most female specific cancers (ovarian, breast, endometrial) has not progressed substantially in recent years, significant progress has been made with cervical cancer due to accessibility of the cell of origin (cervical smear) and availability of a test for the causal agent (human papilloma virus); together these enable identification of high risk individuals and interventions to prevent infection or halt progression to invasive cancer. Our consortium has developed an exciting opportunity to utilise clinically abundant cervical cells in tandem with a multi-omics enabled (genome, epigenome, metagenome) analysis pipeline to understand an individual’s risk of developing a female specific cancer and to direct a personalised screening and prevention strategy. Cervical cells – currently collected within cervical cancer screening – provide an ideal window into other female specific cancers because they are (i) an excellent non-invasive source of high quality DNA, (ii) provide a readout for environmental exposure, (iii) are part of the Müllerian tract and (iv) are hormone sensitive, recording (via the epigenome) various hormonal conditions over a lifetime that trigger cancer development. The FORECEE project is aligned with the novel concept of “P4 Medicine” (predictive, preventive, personalized, and participatory): it aims to translate the risk prediction tool’s output into personalised recommendations for screening and prevention of female cancers. Our consortium comprises a multi-disciplinary team of experts in clinical oncology, risk-benefit communication, omics technologies, decision analysis, health economics and public health. We will examine the effectiveness of the proposed cervical cell omics analysis method and investigate the legal, social, ethical and behavioural issues related to implementation of the risk prediction tool, through direct interaction with stakeholder groups, to ensure its rapid translation into clinical practice across Europe.

Keywords: epigenomics,genomics,metagenomics,female cancers,screening,prevention,benefit risk communication
5G Applications and Devices Benchmarking (TRIANGLE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Ireland,Belgium,Belgium,United Kingdom,Denmark
Call: Integrating experiments and facilities in FIRE+ (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 3541981.25
EU funding (EUR): 2903690.0
Participants: 7
Project status: CLOSED

The focus of TRIANGLE is the development of a framework that facilitates the evaluation of the QoE of new mobile applications, services and devices designed to operate in the future 5G mobile broadband networks. The framework will exploit existing FIRE facilities adding new facilities when necessary. The project will identify reference deployment scenarios, will define new KPIs (Key Performance Indicators) and QoE metrics, will develop new testing methodologies and tools, and will design a complete evaluation scheme. The project will focus on the development of a framework to ensure user QoE in the new challenging situations, especially those due to heterogeneous networks and considering the role software will have in the new 5G ecosystem The framework as value added will also provide the means to allow certification and quality mark for the applications, services and devices compliant to the requirements and test specifications developed in the project but also extensible to other FIRE test solutions. This will allow vendor differentiation, specially startups and SMEs, in the current globalized and competitive markets and further visibility of FIRE facilities. The framework, methods and tools developed during the project will focus on providing the mechanisms to incorporate new wireless technologies and topologies envisaged in 5G and contribute to the new ecosystem.
Families of Subvarieties in Complex Algebraic Varieties (FOSICAV)

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: Mathematics
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

In relation with the study of both moduli and enumerative problems in complex algebraic geometry, we propose the geometric study of various families of subvarieties of certain complex algebraic varieties of small dimension, and mainly of families of (possibly singular) curves. The Severi varieties are a typical example: they parametrize curves of given degree and geometric genus in the projective plane; the general such curve has a prescribed number of ordinary double points and no further singularity. Apart from exploring their dimensions, smoothness, and irreducibility properties, we have in mind to determine their Hilbert polynomials (which among other things encode their degrees, the latter being important enumerative invariants). A central feature of our project is to conduct this analysis by degeneration: to study families of subvarieties in a given variety X, we let X degenerate and look at what happens in the limit. For instance, to study curves on a general K3 surface, we can let it degenerate to a union of projective planes, the dual graph of which is a triangulation of the real 2-sphere. We shall consider the following kind of families of subvarieties: families of curves with prescribed invariants and singularities in surfaces (with special attention to the two cases of the projective plane, and of K3 surfaces), families of hyperplane sections with prescribed singularities of hypersurfaces in projective spaces, families of curves with a given genus in Calabi-Yau threefolds, and families of surfaces in the projective 3-space containing curves with unexpected singularities.

Keywords: severi varieties,enumerative geometry,calabi yau threefolds,noether lefschetz loci
Advanced shearography kit and a robotic deployment platform for on-site inspection of wind turbine blades (WInspector)

Framework: Horizon 2020 — Societal Challenges
Action type: Innovation actions
Countries involved: Spain,Greece,Netherlands,United Kingdom,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2015-1, 2015)
Start date: 2016-03-01
End date: 2019-05-31
Duration (months): 39.0
Total project cost (EUR): 2750193.39
EU funding (EUR): 2317939.63
Participants: 6
Project status: CLOSED

To achieve a thorough investigation for defect presence on a wind turbine blade, close inspection is required. This implies either trained staff tied with ropes on the blade or dismantling and transferring the blade in a workshop environment. While blade dismantling is scarcely used because it requires very long downtime, human inspection also involve a relatively high delay. A solution to this problem is to utilize specially designed platforms that can reach the blade and implement faster inspections on site. However, current systems are not very agile or cannot reach close enough to the blade in order to use a high quality nondestructive technique. Hence, they are mostly used to carry out mere visual inspections. To deal with the aforementioned challenge, our team will commercialize WInspector. WInspector consists of an agile robotic platform able to climb up the wind turbine tower and deploy an advanced Digital Shearography kit that carries out the inspection of a blade at a depth of up to 50mm. Users of WInspector benefit through early detecting emerging defects unseen in a visual inspection performed by competing solutions, with a significantly lower downtime for the WTB, and free of dangerous human labor. We have tested and validated the capabilities of WInspector in relevant environment and based on feedback received by wind farm operators, including project participant Gamesa and Iberdola (who has supported us in writing for this application), we are now ready to take the next steps and complete product development allowing us to bring WInspector into the market. Our vision is to grow our businesses by €19.88 million in gross sales by 2023 and keep growing at 58.8% annually from 2023 onwards. Through our business growth, we will create 181 new jobs. It is our strong belief that the Fast Track to Innovation Pilot is the ideal financial instrument for us to accelerate the procedures required for commercialization.

Keywords: shearography,robotics,wind
Linking seasonal migration and dispersal: A large-scale demographic approach in a wild partially-migratory metapopulation (MIGRADISP)

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: Environment and Geosciences
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: SIGNED

Migration (seasonal movement) and dispersal (movement between birth and first breeding, or between breeding events) are two critical life-history decisions, both taken in response to changing ecological conditions. They could involve similar decision-making processes and covary, thereby profoundly affecting spatio-temporal population dynamics. Yet, we still know remarkably little about how migration and dispersal might be linked and affect each other. While social information (obtained by observing others’ decisions) is known to influence dispersal decisions, we do not know how such information also influences migration. Key outstanding questions are: (1) What is the metapopulation-wide association between individual migration and dispersal? (2) What is the role of early-life social environment in generating such associations? (3) To what degree does cross-season maintenance of social bonds promote concurrent dispersal and migration? To answer these questions, I will jointly quantify seasonal migration and dispersal, and links to early-life conditions and social-spatial networks, in a large-scale partially migratory metapopulation of European shags where both movements vary substantially among individuals. I will achieve these goals by applying cutting-edge statistical analyses (multi-state mark-recapture models, social networks) to an outstanding 10-year dataset comprising >90,000 year-round field sightings of ~10,000 marked individuals. My success in this novel and challenging project will be ensured by working with internationally recognized experts at world-class institutes, namely Prof. Jane Reid, Centre for Biodiversity Dynamics (NTNU, Norway) and Dr. Francis Daunt, Centre for Ecology & Hydrology (UK). I will thereby acquire all the scientific and professional skills that I require to fill a crucial gap in our understanding of population demography and its interplay with sociality, and ultimately to become a successful independent research leader in ecology.

Keywords: partial migration,dispersal,sociality,social information,public information,demography,population ecology,metapopulation,heterogeneity,colonial seabird,european shag
The role of ecology as a modulator of sexual conflict in the wild: an experimental approach with Drosophila melanogaster (SexWarEcol)

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: Environment and Geosciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

Sexual conflict is essential to understand phenotypic evolution in promiscuous species. Yet we know very little about how it operates in the wild and how ecology may help explain the overwhelming variation in sexual traits showcased in nature. I propose an ambitious multi-disciplinary approach combining phenotypic-level measurements with transcriptomic and proteomic tools to study the ecological factors that underlie variation in sexual conflict in Drosophila melanogaster, at a global ecological scale. This is a powerful system because: a) it has a global distribution that spans marked ecological variation, b) it exhibits intense sexual conflict including well studied pre- and post-copulatory traits, c) its sexual conflict traits have been shown to harm females and decrease population viability, d) it affords the use of state-of-the-art molecular techniques and e) despite being a model organism in sexual selection and sexual conflict studies, we know very little about the role of ecology. I will study 1) how temperature, population density, sex ratio and habitat characteristics modulate sexual conflict across different levels of sexual selection (i.e. pre-copulatory vs. post-copulatory) and genetic conflict (i.e. intra-locus vs. inter-locus sexual conflict), 2) the role of phenotypic plasticity and local adaptation in shaping sexual conflict responses to temperature, 3) how this may impact population viability, and 4) the physiological and genetic mechanisms underlying variation in sexual conflict. Given the novelty and reach of the questions addressed this action represents an important advance in our understanding of how sexual conflict evolves and operates in nature, as well as the consequences in terms of potential eco-evolutionary feedback on population viability. Understanding the latter can be particularly relevant to predict the fate of populations and species facing directional environmental changes, such as those imposed by global warming.

Keywords: d melanogaster,sexual conflict,temperature,phenotypic plasticity,population viability