Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Feasibility study for clinical validation of NTproCNP as a novel biomarker for pregnancy complications (Safe Gestation)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Austria
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-10-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In Europe and US about 12 million women are pregnant every year. 2 % to 8 % are affected by pre-eclampsia and intra uterine growth restriction. And more dramatically worldwide more than 50,000 mothers and babies are dying yearly due to undetected pre-eclampsia. Accuracy and prognostic performance of the current “gold standard” diagnosis, relying on blood pressure and urinary protein measurement, are relatively poor. Thus a reliable test for the common causes of fetal and maternal morbidity is needed. BDF previously developed an improved research-use-only test system for measuring NTproCNP for prediction of severe events in pregnancy very early before month 16. This marker is superior to all other solutions on the market, and to coming up solutions. However, before entering of NTproCNP measurement into medical routine, the marker has to be validated in a large prospective clinical study and NTproCNP measurement has to be made available in an automated and most robust way to guarantee worldwide application and distribution. Having this diagnostic tool in hand assuming 20,000 of severe cases in western countries could be prevented, saving lives and improving quality of life for women and families. Moreover, health care costs up to 1.3 billion Euro could be saved. The absolute market for the diagnostic tool is estimated to be nearly 290 million €, promising as well high economic prospects and growth for BDF GmbH. In phase 1 of the project, information on potential clinical market in gynaecology as well as regulatory requirements in this segment will be collected and analysed, the clinical trial will be planned, and the elaborated business plan will be prepared.

Keywords: ntprocnp,pre eclampsia,pregnancy complications
Sinusway- a revolutionary single-use endoscope device for treatment of severe sinuses infection (Sinusitis) (Sinusway)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Rhinosinusitis (RS) (better known as sinusitis) is a severe infection caused when the tiny air pockets around the bones of the nose are filled with germs or fluids. Sinusitis affects more than 80 million people in Europe and 803 million around the world, making it one of the most common health problems worldwide. Sinusitis sufferers carry a huge burden of symptoms, including challenging breathing, headaches, facial pain, nasal congestions, fever and disrupted sleep all of which drastically affects their quality of life. Since thin sinus walls share a border with the surrounding tissue, sinus infection can spread beyond the border of sinuses and cause major complications to eyes, brain and even cause asthma and bone infections. Hence, proper diagnosis and management of sinusitis is essential to prevent the risk of complications. However, current drawbacks of tools available to physicians make diagnosis and management of sinusitis very difficult. Sinusway is a novel lightweight single use endoscope for patients suffering from sinusitis. Sinusway is the first one that allows the tip of the endoscope to turn sharply into lumens in the sinus and then advance in the direction of the angulation which was set, beyond the point of angulation and independently from it. This allows to reach more than 90% of the sinus area. Using an intuitive easy-to-use ergonomics, ENT physicians have full control over the direction of the advancement of the endoscope, without the need of the support from the anatomy to do so. As such, Sinusway represents a revolutionary solution to a global market expected to grow to €20.86 billion by 2022.

Keywords: endoscope,sinusitis,rhinosinusitis
Novel Evolutionary Model for the Early stages of Stars with Intelligent Systems (NEMESIS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Austria,Switzerland,Hungary
Call: Scientific data exploitation (H2020-SPACE-2020, 2020)
Start date: 2021-03-01
End date: 2025-02-28
Duration (months): 48.0
Total project cost (EUR): 1661353.75
EU funding (EUR): 1661353.75
Participants: 3
Project status: SIGNED

NEMESIS has the ambition to reshape our understanding on the formation of stars by employing artificial intelligence methods to interpret the largest, panchromatic data collection of young stellar objects. Recent evidence suggests that planets form synchronously rather than sequentially to their host stars, indicating a rapid early evolution of star-planet systems. To ascertain these timescales, it is necessary to first determine the characteristic transitions that describe each phase of star formation. The definition of classes for young stellar objects was made possible more than 30 years ago, due to the first space-based infrared sky surveys. Whilst successful in determining global properties, current classification is prone to large uncertainties, and therefore, timescales, which are based on population statistics among different classes in a steady-state evolution, remain dubious. NEMESIS aims to readjust the current classification scheme and its characteristic timescales so that it is concurrent with the most recent observational and theoretical constraints. To meet these goals NEMESIS will compile the largest, panchromatic dataset comprising of all young stellar objects in nearby star-forming regions, harnessing critical information that resides in data from space missions. It will reprocess and analyze this unique dataset with supervised and unsupervised machine learning algorithms, deep learning neural networks for object detection, clustering and regression analysis of images in order to advance the analysis and interpretation beyond the current state-of-the-art. Ultimately, NEMESIS brings big data techniques and hybrid machine learning methods to systematically analyze and interpret large data volumes in order to answer some of the most persisting questions, paving the path toward data-intensive science applications in modern astrophysics.

Keywords: star formation,protostellar evolution,space data exploitation,esa herschel,gaia,xmm newton
Voice Emotion detection by Appraisal Inference (VocEmoApI)

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-2015-PoC, 2015)
Start date: 2015-11-01
End date: 2017-04-30
Duration (months): 18.0
Total project cost (EUR): 149937.5
EU funding (EUR): 149937.5
Participants: 1
Project status: CLOSED

The automated sensing of human emotions has gained a lot of commercial attention lately. For facial and physiological sensing many companies offer first professional products. Recently, voice analytics has become a hot topic, too, with first companies emerging for the telecom, entertainment, and robot markets (e.g. Sympalog, Aldebaran, etc.). Current vocal emotion detection approaches rely on machine learning where emotions are identified based on a reference set of expression clips. The drawback of this method is the need to rely on a small set of basic, highly prototypical emotions. Real life emotion detection application fields such as clinical diagnosis, marketing research, media impact analysis, and forensics and security, require subtle differentiations of feeling states. VocEmoApI will develop a first-of-its-kind proof-of-concept software for vocal emotion detection based on a fundamentally different approach: Focusing on vocal nonverbal behavior and sophisticated acoustic voice analysis, it will exploit the building blocks of emotional processes. This approach will infer not only basic emotion categories but also much finer distinctions such as subcategories of emotion families and subtle emotions. The development of VocEmoApI draw’s extensively on the results of the applicant’s Advanced Grant, providing a solid theoretical basis. Market analysis through marketing research partners will be conducted and the prototype software will be utilized to promote the technology and estimate a product value based on feedback from industry contacts. Strong impact of VocEmoApI on large markets such as household robotics, public security, clinical diagnosis and therapy, call analytics, and marketing research can expected.

Keywords: affective computing,vocal communication,emotion recognition,appraisal,component process model,acoustic parameters,bayesian inference,speech
Bayesian Agent-based Population Studies: Transforming Simulation Models of Human Migration (BAPS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Germany,United Kingdom
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-06-01
End date: 2022-05-31
Duration (months): 60.0
Total project cost (EUR): 1455590.0
EU funding (EUR): 1413286.25
Participants: 2
Project status: CLOSED

The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling. To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions. In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography. BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations.

Keywords: bayesian methods,cognitive psychology,decision making,experimental design,migration,uncertainty
Healthy minds from 0-100 years: Optimising the use of European brain imaging cohorts (Lifebrain)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Switzerland,Sweden,Norway,Netherlands,United Kingdom,United Kingdom,Denmark,United Kingdom
Call: Networking and optimising the use of population and patient cohorts at EU level (H2020-SC1-2016-RTD, 2016)
Start date: 2017-01-01
End date: 2022-06-30
Duration (months): 66.0
Total project cost (EUR): 10768225.0
EU funding (EUR): 10000000.0
Participants: 14
Project status: CLOSED

Our main objective is to identify determinants of brain, cognitive and mental health at different stages of life. By integration, harmonisation and enrichment of major European neuroimaging studies of age differences and changes, we will obtain an unparalleled database of fine-grained brain, cognitive and mental health measures of more than 6.000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive/mental health measures for extensively broader cohorts, exceeding 40.000 examinations in total. By linking these data, also to additional databases and biobanks, including birth registries, national and regional archives, and by enriching them with new online data collection and novel measures, we will address risk and protective factors of brain, cognitive and mental health throughout the lifespan. We will identify the pathways through which risk and protective factors work and their moderators. Through exploitation of, and synergies with, existing European infrastructures and initiatives, this approach of integrating, harmonising and enriching brain imaging datasets will make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on brain, cognitive and mental health maintenance, onset and course of brain, cognitive and mental disorders, and lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of brain, cognitive and mental health, as well as future preventive and therapeutic strategies. Working with stakeholders and health authorities, the project will provide the evidence base for policy strategies for prevention and intervention, improving clinical practice and public health policy for brain, cognitive and mental health. This project is realized by a close collaboration of small and medium-sized enterprise (SME) and major European brain research centres

Keywords: brain imaging,cognition,mental health
Spatial and temporal control of self/non-self discrimination in innate immunity (TLRstorm)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-07-01
End date: 2021-06-30
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

Recognition of nucleic acids enables detection of diverse pathogens by a limited number of innate immune receptors, but also exposes the host to potential autoimmunity. At least two members of the Toll-like receptor (TLR) family, TLR7 and TLR9, can recognize self-RNA or DNA, respectively, and contribute to the pathology of autoimmune diseases. Despite the structural and functional similarities between these two receptors, they can have opposing effects in autoimmune diseases such as systemic lupus erythematosus. My previous studies have identified a potential explanation for this enigma, whereby TLR7 and TLR9 experience a surprising degree of differential regulation, both at the level of receptor trafficking as well as receptor activation in the endosome. Although my work provides a major conceptual advance for explaining the distinct behavior of these two receptors in disease, we still poorly understand how the regulation of nucleic acid-sensing TLRs and its various interactions and pathways are embedded into the cellular architecture. Their cellular location is not trivial: knowing where in the cell these critical interactions take place and how they are coordinated in time is of utmost importance to fully understand how TLRs are regulated to avoid self-recognition. In this project, I aim to investigate these fundamental aspects of TLR biology using state-of-the art superresolution microscopy. I will use sub-diffraction imaging techniques including stochastic optical reconstruction microscopy (STORM) and Airyscanning technology to 1) define the precise subcellular localization of nucleic acid-sensing TLRs, 2) identify and characterize their endosomal signaling compartments, and 3) investigate TLR signaling dynamics under normal and autoimmune-prone conditions. This work will provide a conceptual framework for understanding how TLR signaling is controlled in space and time and define the molecular principles that maintain self-tolerance to nucleic acids.

Keywords: superresolution microscopy,single molecule,toll like receptors,endosomes,myd88,crispr,cas9
PyroLife - training the next generation of integrated fire management experts (PyroLife)

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: Environment and Geosciences
Countries involved: Spain,Spain,Cyprus,Finland,France,Netherlands,United Kingdom,United Kingdom,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-10-01
End date: 2024-12-31
Duration (months): 63.0
Total project cost (EUR): 3946980.96
EU funding (EUR): 3946980.96
Participants: 11
Project status: SIGNED

2018 was a glimpse of the future: deadly mega-fires in Mediterranean and numerous wildfires in temperate and boreal regions. Traditional mono-disciplinary attitudes cannot solve this challenge: there is a critical need to change management paradigms from fire resistance to landscape resilience: Living with Fire. PyroLife trains the new generation of interdisciplinary experts in holistic integrated fire management, through knowledge transfer between South and NW Europe and application of lessons learned in prevention of floods and other risks. Our unique integrated training program, crucially developed with industry, provides 15 ESRs the in-depth, interdisciplinary, integrated and transferable knowledge and skills required to complete their research and maximize future employability. Individual projects target risk quantification (fire danger, vulnerability, (mega)fire behavior, environmental and economic impacts), risk reduction (fire resilient home, garden and landscape design, prevention and governance), and risk communication (stimulating stakeholder and community resilience and preparedness). PyroLife is original for its inter- and transdisciplinary, intersectoral, cross-risk, and cross-climate approach to training doctoral students and tackling wildfire challenges, connecting 21 diverse partners. The project structures doctoral training by being the first large and integrated doctoral training program on wildfires globally, being a leading example for training of our future leaders. With an exemplary gender balance and diversity in industry and academia, PyroLife combines excellent research and supervision to make an impact on society and economy, through broad dissemination and communication. With the Commission’s Nov 2018 call for integrated fire management to ‘tackle the global EU wildfire problem’, the timeliness of PyroLife cannot be overstated. Funding of PyroLife provides the diverse fire experts Europe urgently needs in academia and practice.

Keywords: integrated fire management,landscape design,risk,preparedness,perception,wildfire,exchange
CitySCAPE: City-level Cyber-Secure Multimodal Transport Ecosystem (CitySCAPE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Innovation actions
Countries involved: Austria,Estonia,Italy,Italy,Greece,Romania,Greece,Greece,France,France,France,Luxembourg
Call: Digital security, privacy, data protection and accountability in critical sectors (H2020-SU-DS-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 6293011.25
EU funding (EUR): 4998057.88
Participants: 20
Project status: SIGNED

With the emergence of the digitization of information, ICT infrastructure and communications gave an unprecedented push towards the realization of truly interconnected passenger transport ecosystems at city-level. The emerging notion of multimodality supports a plethora of diverse transport services, typically offered from a central location. There however, the complex interconnected infrastructures ease the cyber-threats propagation while the underlying mosaic of fleets, personal hand-held devices and non-standardized data types increase the system's attack surface and require the authorities collaboration to proactively handle severe incidents. CitySCAPE leverages the skills and mature technology of its 15-partner consortium to systematically explore all different cybersecurity dimensions of multimodal transport. These dimensions will drive a characterization of the cyber-threats in the ICT multimodal transport, extended to the close-by power and financial sector. Innovative software tools will be introduced to estimate the threats propagation in the system. Then, CitySCAPE will realize a modular software toolkit enabled to be seamlessly integrated into any multimodal transport system to: a)detect suspicious traffic-data values and identify persistent threats; b)evaluate an attack's impact in technical and notably in financial terms; c)combine external knowledge and internally-observed activities to enhance the predictability of zero-day attacks; d)instantiate a networked overlay to circulate informative notifications to CERT authorities and support their interplay. The CitySCAPE solution will be tested over a timely set of use-cases involving ticketing applications, cyber-fraud and location data in the regional transport system of two European cities, where extensive experiments will showcase its effectiveness. The findings will steer training sessions of expert/non-expert audience and shape a strong standardization contribution to security (labelling) protocols.

Keywords: cybersecurity for cloud based services,attack modelling and security assurance tools,city transport passengers privacy,threats investigation and impact assessment,standards,cybersecurity training