Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
cOmmunication Platform for TraffIc ManAgement demonstrator (OPTIMA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Italy,Italy,Spain,Spain,Italy,Italy,Slovakia,Belgium,France,France,Czechia,Czechia,United Kingdom
Call: Support to development of demonstrator platform for Traffic Management (H2020-S2RJU-OC-2019, 2019)
Start date: 2019-12-01
End date: 2023-04-30
Duration (months): 41.0
Total project cost (EUR): 2235998.5
EU funding (EUR): 1899861.25
Participants: 16
Project status: SIGNED

The OPTIMA project falls within the scope of the topic S2R-OC-IP2-02-2019 call – Support to development of demonstrator platform for Traffic Management – which is connected with the complementary topics S2R-CFM-IP2-01-2019, S2R-CFM-CCA-01-2019. The OPTIMA project will address the design and development of a Communication Platform to manage the link with different services (multimodal operational systems), supporting TMS applications. In this sense, the Communication Platform will link TMS applications with Traffic Management, Traffic Control, Maintenance/Energy Management and signalling field infrastructure systems. In particular, the following activities are linked with the main objectives of OPTIMA: • use of Integration Layer to integrate real-time data from the rail business service, external sources, services running in the Application Framework and operator workstations; • development, validation and verification of: o middleware of Integration Layer (or if you prefer: Integration Layer constituents and its interfaces); o software clients for connecting several rail business services and external services; o Application Framework constituents and its interfaces; o enhanced integration of the standardized operator workstations; o definition of detailed data structure according the Conceptual Data Model; o first level support for testing prototypes of complementary projects; • provision of a fully available and documented communication platform for installing and testing complementary projects prototypes. In addition, OPTIMA will disseminate project findings to relevant stakeholders and communities and will ensure the sustainability and impact of the results coming from the own activities. The Consortium is well balanced with research organizations, industrial rail stakeholders and Infrastructure Managers actively performing Traffic Management and Traffic Control in dedicated Control centers, some of them with previous participation in S2R projects.

Keywords: communication platform demonstrator,integration layer,application framework,operators workstations,conceptual data model,traffic management system,traffic control,databases,first level support
Clinical validation of miniature wearable dialysis machine (WEAKID)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Italy,Spain,Netherlands,Netherlands
Call: New therapies for chronic diseases (H2020-SC1-2016-RTD, 2016)
Start date: 2017-01-01
End date: 2019-06-30
Duration (months): 30.0
Total project cost (EUR): 3306750.0
EU funding (EUR): 3306750.0
Participants: 4
Project status: CLOSED

The project aims to validate a miniature wearable dialysis machine in a clinical setting and to prepare the system for CE-marking. Wearable dialysis allows renal patients to dialyze conveniently and continuously at home or at work, independently from a fixed water supply, up to 24 hrs/day. Such a continuous treatment mimics healthy kidneys and is twice as effective as current dialysis techniques, hereby offering health benefits, quality of life (fitness, mobility) while reducing medical costs (less medication, dialysis at home lowers costs). The miniature wearable dialysis system is based on continuous flow peritoneal dialysis with a fluidic access to the abdomen. The peritoneal dialysate is continuously circulated and refreshed by means of a small and wearable sorption unit that removes toxins from the dialysate. The technology has been demonstrated in preclinial research. In order to demonstrate the clinical efficacy and safety of the system an early feasibility first-in- human trial (phase 0) and a pilot crossover trial (phase 1) will be performed in peritoneal dialysis (PD) patients. The phase 0 study will involve a selected group of 12 stable PD patients in a clinical setting for 5 consecutive days. Upon successful functionality and safety analysis of the phase 0 trial, the clinical validation is continued in a crossover study to test the hypotheses that the system (1) improves blood purification, (2) results in adequate ultrafiltration and (3) does not show important safety/ biocompatibility problems. Hereto 30 stable PD patients will be randomised to receive either with the wearable system in the first month and conventional PD in the second month or vice versa. The clinical trials will be performed by three European medical centres specialised in dialysis treatment.

Keywords: continuous dialysis treatment 24,7 improved clearance wearable mobility cost reduction
Attract, Retain and Develop New Nuclear Talents Beyond Academic Curricula (ENENplus)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Support the development of nuclear competences at Union level and socio-economic aspects
Action type: Coordination and support actions
Countries involved: Spain,Italy,Belgium,Finland,Hungary,Romania,Slovenia,Bulgaria,France,France,France,Czechia,United States,United Kingdom,United Kingdom
Call: Support for careers in the nuclear field (NFRP-2016-2017-1, 2016)
Start date: 2017-10-01
End date: 2021-09-30
Duration (months): 48.0
Total project cost (EUR): 3268062.5
EU funding (EUR): 2986188.0
Participants: 26
Project status: SIGNED

The primary motivation of the ENEN+ project is to substantially contribute to the revival of the interest of young generations in the careers in nuclear sector. This is to be achieved by pursuing the following main objectives: • Attract new talents to careers in nuclear. • Develop the attracted talents beyond academic curricula. • Increase the retention of attracted talents in nuclear careers. • Involve the nuclear stakeholders within EU and beyond. • Sustain the revived interest for nuclear careers. The ENEN+ consortium will focus on the learners and careers in the following nuclear disciplines: • Nuclear reactor engineering and safety, • Waste management and geological disposal, • Radiation protection and • Medical applications. Integration of further nuclear disciplines (e.g., nuclear chemistry, decommissioning, fusion engineering…) and sustainability of the ENEN+ accomplishments beyond the project life of is foreseen within the existing ENEN Association and its members and partnering of ENEN association with ongoing and proposed projects. The attraction, retention and development of the new nuclear talent can only be sustained beyond the project life through strong partnership of all nuclear stakeholders. Involvement of various nuclear stakeholders including academia, industry, international organisations (ENS, FORATOM, IAEA, NUGENIA) and Technical support organisations in the ENEN+ consortium is therefore of primary importance for the success and sustainability of the proposed activities also beyond the life of ENEN+. A mobility fund of more than 1.000.000EUR for European students researchers and learners is established in the project.

Keywords: attract talents through international mobility enhancement of learning access to infraestructures and attractive research experience
Impact of Dietary Protein on Disability in ageing Europeans (InDEPENDEnt)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-07-15
End date: 2021-07-14
Duration (months): 24.0
Total project cost (EUR): 147815.04
EU funding (EUR): 147815.04
Participants: 1
Project status: CLOSED

The European population is ageing but, for many countries and Portugal in particular, the extra years of life are not free of disability. Diet is known to be important for health and dietary protein specifically for maintaining physical function, though few European countries have good data on the impact of protein malnutrition on disability in later life. In the Impact of Dietary Protein on Disability in ageing Europeans (InDEPENDEnt) project, I will contribute to the World Health Organisation’s goal of maintaining the functional capacity of older people by conducting the first meta-analysis of European data to determine the optimal level of dietary protein (and in relation to physical activity) to slow disability progression and provide the first reliable estimates of how many cases of disability could be prevented by an adequate protein intake in Portugal. To undertake the project I will move from Newcastle University (UNEW, Newcastle-upon-Tyne, UK) to the Universidade Nova de Lisboa (UNL, Lisboa, Portugal) to increase my knowledge of musculoskeletal health and disability, in addition bringing an existing collaboration in nutritional epidemiology and ageing from the Vrije University, Amsterdam. My overall objective is to build on my expertise in nutritional epidemiology and functional outcomes in gerontology, while gaining professional independence.

Keywords: nutrition,protein,disability,activities of daily living,dietary intake,prospective cohort studies,mobility,older adults
UNCARIA: UNcertainty estimation in CARdiac Image Analysis (UNCARIA)

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: Information Science and Engineering
Countries involved: Spain,Australia
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2024-02-29
Duration (months): 30.0
Total project cost (EUR): 224071.2
EU funding (EUR): 224071.2
Participants: 2
Project status: SIGNED

Cardiovascular diseases account for nearly 45% of all deaths in Europe, with a yearly cost to the EU economy of €210 billions. The emergence of a new generation of deep neural networks (DNNs), powered by higher computing capabilities and the availability of large amounts of data, has enabled unprecedented predictive accuracy, bringing the promise of improving risk assessment and early diagnosis to the field of computational cardiac image understanding. Unfortunately, clinical translation of these tools has not been effectively accomplished yet. A key reason is the black-box nature of these models: through the observation of large-scale annotated data, DNNs can build rich, complex decision boundaries in the image space, but the sequence of mathematical operations leading to such decisions is not readily interpretable by humans. The goal of this project is to open this black-box in a specific direction: building in these models the ability of understanding when they deliver a prediction with a well-founded confidence degree, and when a prediction is reached based only on local statistical regularities of training data and may not be reliable. Current models largely lack this ability, and this undermines their potential for clinical adoption. This project revolves around a fundamental idea: redefining the conventional way of training DNNs so that they can not only produce accurate diagnostic predictions but also model their own errors and have an awareness of them. This proposal involves the transfer of the candidate to a worldwide renowned computer vision group, with a secondment in a top-tier medical research institution, followed by a returning stage in one of the most prestigious biomedical image analysis research groups within Europe. The proposed workplan is designed to train the candidate in both cutting-edge computer vision and clinical knowledge in the outgoing stage, maximizing potential for knowledge transfer to the European host during the incoming phase.

Keywords: medical image analysis,deep learning,uncertainty,computer vision
CMB Lensing at Sub-Percent Precision: A New Probe of Cosmology and Fundamental Physics (CMBLENS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-01-01
End date: 2025-06-30
Duration (months): 66.0
Total project cost (EUR): 1492065.0
EU funding (EUR): 1492065.0
Participants: 1
Project status: SIGNED

Maps of the gravitational lensing of the cosmic microwave background (CMB) directly trace the mass distribution across our universe. Though recent measurements have established the CMB lensing signal as a powerful probe of cosmology and fundamental physics, we are only beginning to exploit its scientific potential. My ERC-funded team will analyse lensing in CMB data from Advanced ACTPol and Simons Observatory, powerful ground-based experiments for which I am co-leading the lensing working groups. By developing and applying new analysis methods, my team will reconstruct large-sky CMB lensing maps that are an order of magnitude more precise than current state-of-the-art measurements. With our high-fidelity lensing maps, we will address key questions about the origin of the universe, the properties of neutrinos, the nature of dark energy, and the formation of cosmic structure. We will determine or tightly bound the unknown neutrino mass by measuring the CMB lensing power spectrum to 0.6% precision, place stringent constraints on the time evolution of dark energy by combining CMB lensing maps with large-scale structure datasets, and enable powerful searches for primordial gravitational waves by removing the limiting lensing signal from the CMB polarization. To achieve these goals, my group will address the central challenges posed by the advance of lensing science to ultra-high precision, pioneering new approaches to lensing estimation, foreground mitigation, and CMB B-mode delensing.
Climatic Impact on Food Trade RESilience and Security (CIFTRESS)

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: Economic Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-15
End date: 2022-04-27
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

Global climate change adversely affects crop yields and undermines humanity’s food security and resilience; while previous research has focused on regional agricultural adaptation, the opportunities and vulnerabilities of trade networks have remained less explored. In this vein, this research examines the joint climate, agro-environmental, and economic induced changes to the trade network topologies of five staple foods, i.e., maize, rice, wheat, barley, and soybeans, up to the year 2050 in the European and Mediterranean region. This proposed research adopts an interdisciplinary methodology drawing on crop yield modeling, economic trade modeling, network science, and quantitative scenario building approaches. More specifically, this research will enhance the International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) Model with fitness network formation and gravity trade models to reveal the regional origin and destination of staple commodities. Through the enhanced model, the network topologies of current and future scenario staple food trade will be investigated and linked to the notions of resilience and security. Scenarios describing alternative dynamics of staple food trade network topologies for each crop will be developed through a comprehensive literature review focusing on agricultural trends, investments, and regional strategies and semi-structured interviews with agro-economists, agriculture policy specialists, and agricultural trade practitioners. The main innovations of this research project are the enhancement of the IMPACT model and in addition, the application of network analysis to interpret the ‘in-direct’ trade flow relationships which are not well captured by the current model. This will enable an analysis of climate change impacts on staple food trade in the light of the network-based configurations of network efficiency, redundancy, and modularity which are linked to the notions of food resilience and security.

Keywords: climate change impacts and policy,staple food trade,network topology,network resilience,food security,climate change adaptation
Ex vivo cell labelling for in vivo imaging applied to cell therapeutics (Cenya)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Netherlands
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-11-01
End date: 2021-10-31
Duration (months): 24.0
Total project cost (EUR): 214285.71
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

While we do not possess magic, modern day medicine can sometimes approach the unbelievable - curing cancer or repopulating diseased heart tissue; all possible due to the advent of cell therapy. However, cell therapy has fallen far short of expectations. Its success requires the ability to monitor and optimise treatments in real time for each individual; necessitating a direct means of monitoring transferred cells. Noninvasive imaging techniques are essential to the success of modern therapeutics. Here, I will build on my work on developing multiscale GMP-ready imaging nanoparticle (NP) agents with the objective of out-licensing the technology to a new commercial venture, Cenya Imaging, to take this work from the bench to the bedside, and I have recruited an experienced CEO to drive this forward. Advisors have outlined a cheaper, faster and simpler path to regulatory approval for Cenya NPs: labelling cells ex vivo and tracking labelled cells after infusion into patients; since, with this approach, Cenya NPs are used to only track cells and not diagnose a disease, the regulatory hurdles are far lower. Recent developments in cell therapeutics have made tracking of cells a very attractive market; specifically (1) increasing investment in CAR-T cells, checkpoint inhibitors (which affect lymphocyte trafficking), and stem cell therapies (40% per annum growth in phase I trials); (2) regulatory push for increased safety and biodistribution data in trials; and (3) a lack of suitable clinical imaging agents. Market size is estimated at €300M; the FDA recently hired 50 new staff exclusively to deal with cell and gene therapies. We will exploit this new market, while also seeing this as the opportunity to play a significant role in the optimisation of cell therapies. We have surveyed nearly 100 users of cell therapy (preclinical, clinical; academics and industry) to decide on our approach, providing a good degree of validation for our choice of focus.

Keywords: cell therapy,cell tracking,imaging,nanoparticles,clinical imaging
Mechanical ventilation for radiotherapy (MV for radiotherapy)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

One of the greatest challenges for modern radiotherapy is ventilation causing motion of tumours and surrounding healthy structures. Technically, modern radiation delivery systems enable in principle very accurate radiation targeting of the tumour and avoiding radiation damage to healthy tissue. However, to deliver sufficient dose to a continuously and irregularly moving tumour, it is necessary to irradiate the tumour with a large margin. Currently such a large margin means irradiating a volume of healthy tissue that is about equal to that of the tumour itself. The healthy tissue damage is itself problematic. But it also prohibits further raising the radiation dose to the tumour to enhance the probability of tumour destruction and thus patient survival. I have invented the use of non-invasive mechanical ventilators to revolutionise radiotherapy delivery, by prolonging breath-hold duration beyond 5 minutes and by reducing and regularising breathing movements. I have demonstrated this works with breast cancer patients. To support its clinical adoption it is now necessary to train other staff to use mechanical ventilation, demonstrate it works with other cancer patient groups, measure the reductions in internal movement of tumours and healthy structures, show how these would produce superior treatment plans and that all this works in another European hospital. My career goal is for me to use the evidence derived from the fellowship to fund the introduction of non-invasive mechanical ventilators first back in our own department (Birmingham, UK), then for me to lead a multi-centre evaluation trial across Europe and finally to lead its introduction into radiotherapy practice throughout Europe.

Keywords: prolonged breath holds,mechanical ventilation,radiotherapy,mri imaging,treatment planning