Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CIRDvalid – Clinical validation of a set of 11 biomarkers and a system of diagnostic and therapeutical devices for the resuscitation of patients suffering from long-lasting cardiac arrest (CIRDvalid)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Germany
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2015-06-01
End date: 2015-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

For decades there has been no significant improvement in resuscitation-therapy of patients suffering from cardiac arrest. Only 3% survive out-of-hospital and only 18% survive in-hospital resuscitation. The time-frame for a successful resuscitation is only about 3 to 5 minutes after cardiac arrest. To increase this time-frame significantly ResuSciTec has developed a new therapeutical concept to induce a paradigmatic shift in resuscitation therapy. This new concept called “controlled whole body reperfusion” is based on a set of 11 known biomarkers which have been validated in animal studies. ResuSciTec has produced proof of concept in preclinical animal studies for successful resuscitation after 20 minutes of cardiac arrest. About 90% of the animals (pigs) survive without or nearly without neurological damage. To perform this new therapy ResuSciTec has developed an innovative Diagnostic Medical Device for measurement of the 11 biomarkers called “BioM-11”. This Device will be integrated in an innovative therapeutical system called “CIRD - Controlled Integrated Resuscitation Device”. The proposed feasibility study (Phase 1) will provide: (1) planning of clinical studies (2) Verification and Validation planning for the devices (3) elaboration of a businessplan including milestones, market-study, roadmap for certification and reimbursement strategy. The overall innovation project (Phase 2) has four objectives: (1) Clinical validation of 11 biomarkers in humans for resuscitation-therapy in clinical studies (2) validation and CE-approval of the diagnostic device BioM-11 (3) validation and CE-approval of the CIRD 2.0-system for the resuscitation of patients (4) Clinical validation of the CIRD 2.0-system in-hospital and out-of hospital in 10 to 15 clinical centres in Europe to provide evidence for the new therapy called “controlled whole body reperfusion”. The overall project aims to show European leadership in this important field of emergency medicine.

Keywords: resuscitation,biomarker,diagnostic device,therapeutical system,clinical validation,extracorporeal cardiopulmonary resuscitation,reperfusion
Innovative physical/virtual sensor platform for battery cell (INSTABAT)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Future Battery Technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,France,France,France,Portugal
Call: Sensing functionalities for smart battery cell chemistries (H2020-LC-BAT-2020-3, 2020)
Start date: 2020-09-01
End date: 2023-12-31
Duration (months): 40.0
Total project cost (EUR): 3999522.5
EU funding (EUR): 3999522.5
Participants: 11
Project status: SIGNED

The ambition of INSTABAT is to monitor in operando key parameters of a Li-ion battery cell, in order to provide higher accuracy States of Charge, Health, Power, Energy and Safety (SoX) cell indicators, and thus allowing to improve the safety and the Quality, Reliability and Life (QRL) of batteries. To achieve this goal, INSTABAT will develop a proof of concept of smart sensing technologies and functionalities, integrated into a battery cell and capable of: • performing reliable in operando monitoring (time- and space-resolved) of key parameters (temperature and heat flow; pressure; strain; Li+ concentration and distribution; CO2 concentration; “absolute” impedance, potential and polarization) by means of: (i) four embedded physical sensors (optical fibers with Fiber Bragg Grating and luminescence probes, reference electrode and photo-acoustic gas sensor), (ii) two virtual sensors (based on electro-chemical and thermal reduced models), • correlating the evolution of these parameters with the physico-chemical degradation phenomena occurring at the heart of the battery cell, • improving the battery functional performance and safety, thanks to enhanced BMS algorithms providing in real-time higher accuracy SoX cell indicators (taking the measured and estimated parameters into consideration). Main results will be: (1) proof of concept of multi-sensor platform (cell prototype equipped with physical/virtual sensors, and associated BMS algorithms providing SoX cell indicators in real-time); (2) demonstration of higher accuracy for SoX cell indicators; (3) demonstration of improvement of cell functional performance and safety through two use cases for EV applications; (4) techno-economic feasibility study (manufacturability, adaptability to other cell technologies...). INSTABAT smart cells will open new horizons to improve cell use and performances (e.g. by reducing ageing, allowing the decrease of safety margins, triggering self-healing, facilitating second life, etc.).

Keywords: li ion battery,sensing,sensor,fiber bragg grating,reference electrode,luminescence,photo acoustic,state estimation,battery management system,state of charge,state of power,electric vehicle
Situation-Aware Mobile Platform for Airport Collaborative Decision-Making (Airport IQ)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Sweden,Hungary,United Kingdom
Call: Small business innovation research for Transport (H2020-SMEINST-2-2014, 2014)
Start date: 2015-09-01
End date: 2017-12-31
Duration (months): 28.0
Total project cost (EUR): 1758464.0
EU funding (EUR): 1230924.8
Participants: 3
Project status: CLOSED

The economic costs of aircraft delays in Europe have been estimated at 1.25Bn Euros per year. Aircraft delays also result in environmental costs: aircraft holding or queuing with engines on, resulting in excess environmental emissions and air quality or noise impact, unnecessary ground movements and activation of auxiliary power units. Airport IQ will develop a mobile information sharing system connecting back-end A-CDM systems with mobile devices (smartphones, tablets and other wearable devices) carried by ground staff. The system will provide the right information at the right place and time to the right people, making it easier for planners to make optimal use of resources. This will help reduce primary and reactionary delays, improve the reliability of estimates, and allow airlines to make smarter decisions about turnaround buffers, that will be shorter than before. Airport IQ will also offer a simple way to simulate turnaround activities, making it possible to run operational exercises using the same mobile tools, which will simplify and improve the quality of training, as well as providing the basis for designing longer-term improvements in ground handling processes. The solution has the potential to create significant economic and environmental savings for the entire air transport value chain, as demonstrated by pilot trials to be organized in 3 European airports (Lisboa, Heathrow and Targu Mures), involving real end-users (i.e. ground handling and other airport staff) using “live” onsite data. The project duration is 24 months and the requested EC contribution is 2M Euros.

Keywords: mobile platform,aircraft turnaround,situation aware,context aware
Atomistic Electrodynamics-Quantum Mechanical Framework for Characterizing, Manipulating and Optimizing Nonlinear Optical Processes in 2D Materials (ELECTROQUANTUM-2D)

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-2016, 2016)
Start date: 2018-01-15
End date: 2020-03-13
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Two-dimensional (2D) materials, which include graphene, phosphorene, and transition metal dichalcogenides monolayers, exhibit extraordinary linear and nonlinear optical properties not attainable in bulk media. They find tremendous potentials in many photonic and optoelectronic applications, such as all-optical signal processing, optical amplification, nonlinear switching, optical microscopy, quantum detection, and sensing. The availability of first-principle, fast, efficient computer codes is a prerequisite to the bottom-up design of 2D materials. However, theoretical modeling of 2D materials faces great challenges as it needs to incorporate effects of finite size, edge truncation, periodic modulation, nonlocal, and quantum confinement. Here, we aim at developing atomistic electrodynamics-quantum mechanical theoretical models and implementing them in high-performance computing (HPC) software for characterizing, manipulating, and optimizing nonlinear optical processes (NOP) in 2D materials. The main objectives of this ambitious project are: (1) To develop a macroscopic electrodynamics approach for simulating NOP in 2D materials. (2) To develop an atomistic electrodynamics quantum mechanical framework for modeling NOP in 2D materials and compare the atomistic model to the macroscopic approach. (3) To develop user-friendly and reliable HPC software that seamlessly integrates and implements the theoretical models. (4) Using the software and theoretical models, emerging applications of 2D materials will be investigated, including solar cells, nonlinear microscopy, and biosensing. The project will have high impacts on: (1) advances in the science, technology, and industry of UK and Europe; (2) applicant’s future career development; (3) research, industrial, and transferrable knowledge exchange between the host and applicant; (4) design and commercialization of 2D material enabled devices; (5) training of students and researchers in several interdisciplinary disciplines.
Improving Pregnancy Outcomes Gloablly (IPOG)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-11-01
End date: 2021-01-31
Duration (months): 27.0
Total project cost (EUR): 2705750.0
EU funding (EUR): 1894025.0
Participants: 1
Project status: CLOSED

Preeclampsia is responsible for the deaths of more than 70,000 mothers and half a million babies each year. Identifying those mothers at risk of preeclampsia is difficult. The current gold standard in prenatal care does not detect the disease early enough to change the course of the disease. MDx has developed PrePsia™, a simple blood test which identifies an expectant mother’s risk of preterm preeclampsia, up to 5 months before most women will display clinical symptoms. Clinicians can now use this simple tool, to personalise pregnancy care, including the initiation of treatments in early pregnancy that can dramatically reduce the incidence of preterm preeclampsia by 62%3. In the EU, with about 5.1 million births per annum (2015 data) , treating the women identified at high risk for preterm preeclampsia by PrePsia™ has the potential to prevent over 37,000 cases of preterm preeclampsia and its associated severe outcomes, every year. The only other test in the market that screens for preterm preeclampsia, is complex and requires for specialist ultrasound scans to be taken, which are expensive, subjective and require for dedicated ultrasound equipment and operators. MDx has a portfolio of IP assets, as developed by the company over the last 5 years, that will protect PrePsia™ and also have significant commercial potential beyond just the realm of preeclampsia. MDx has team of successful serial entrepreneurs coupled with globally renewed technical expertise to deliver PrePsia™ to the market and build a long term self-sustaining European company. By year 4 MDx will have annualised revenues of €69 million and employment for 50 people while fulfilling its ambition to become a world leader in innovative pregnancy diagnostics.

Keywords: pregnancy,preeclampsia,maternity,health,biomarkers,metabolites,babies,translational reserach,medical device,risk stratification,commercialistion,innovation,patients,biobank,blood,plasma
BIG IoT - Bridging the Interoperability Gap of the Internet of Things (BIG IoT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Ireland,Austria,Germany,Germany,Germany,Italy,Germany,Greece,Denmark
Call: Internet of Things and Platforms for Connected Smart Objects (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 7999882.5
EU funding (EUR): 7999882.5
Participants: 17
Project status: CLOSED

The objective of the BIG IoT project is to ignite really vibrant Internet of Things (IoT) ecosystems. We will achieve this by bridging the current interoperability gap between the vertically integrated IoT platforms and by creating marketplaces for IoT services and applications. Despite various research and innovation projects working on the Internet of Things, no broadly accepted professional IoT ecosystems exist. The reason for that are high market entry barriers for developers and service providers due to a fragmentation of IoT platforms. The goal of this project is to overcome these hurdles by Bridging the Interoperability Gap of the IoT and by creating marketplaces for service and application providers as well as platform operators. We will address the interoperability gap by defining a generic, unified Web API for smart object platforms, called the BIG IoT API. The establishment of a marketplace where platform, application, and service providers can monetize their assets will introduce an incentive to grant access to formerly closed systems and lower market entry barriers for developers. The BIG IoT consortium is well suited to reach the outlined goals, as it comprises all roles of an IoT ecosystem: resource providers (e.g., SIEMENS, SEAT), service and application developers (e.g., VODAFONE, VMZ), marketplace providers (e.g., ATOS), platform providers (e.g., BOSCH, CSI, ECONAIS), as well as end users connected through the public private partnerships of WAG and CSI or the user-focused information services that VMZ provides for the city of Berlin. The major industry players cover multiple domains, including mobility, automotive, telecommunications, and IT services. Four university departments will help to transfer the state of the art into the state of the practice and solve the open research challenges. This consortium will mobilise the necessary critical mass at European level to achieve the goals and to reach the ireach the impacts set out in this project.

Keywords: internet of things,interoperability,ecosystem,marketplace,large scale pilots
ENERGY HARVESTING IN CITIES WITH TRANSPARENT AND HIGHLY EFFICIENT WINDOW-INTEGRATED MULTI-JUNCTION SOLAR CELLS (CITYSOLAR)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Saudi Arabia,Switzerland,France,Denmark,Canada
Call: Developing the next generation of renewable energy technologies (H2020-LC-SC3-2020-RES-RIA, 2020)
Start date: 2020-12-01
End date: 2023-11-30
Duration (months): 36.0
Total project cost (EUR): 4765768.75
EU funding (EUR): 3779242.0
Participants: 10
Project status: SIGNED

Transparent photovoltaics (TPV) possesses a huge untapped potential in the harvesting of solar energy where it readily can be embedded in buildings applications worldwide to significant reduce CO2 emissions, and support the needed development of nearly zero-energy buildings. TPV will increase the utilization of renewable energy directly where it is needed, and play a crucial role for the sustainable transformation of the energy sector in large cities. Using conventional photovoltaics, however, it is not possible to fabricate TPV elements without severe losses in efficiency and/or visual light transmittance. In the CITYSOLAR project, a new breakthrough concept for TPV will be developed by exploiting the combined use of emerging technologies, namely multi-junction solar modules developed from near-ultraviolet perovskite and near-infrared organic solar cells. Using advanced concepts within light management such as photonic crystals, nanophotonics and photon recycling and advanced module integration schemes, CITYSOLAR will radically change performance limits for TPV by significantly reducing losses related to light absorption and scale-up from individual solar cells to multi-junction modules. CITYSOLAR brings together world-leading European academic and industrial players, some with key intellectual property, together with two non-EU partners belonging to Mission Innovation countries specialized in the synthesis of advanced materials for hybrid and organic solar cells. The consortium will develop highly efficient and transparent solar cells and modules to increase the performance of available TPV technologies by 50%, and via innovative integration schemes present a route for its use in building integrated PV (BIPV) applications. This represents a strategic sector for Europe and an opportunity to accelerate and reduce the cost of the next generation of sustainable renewable energy technologies.

Keywords: transparent photovoltaics,building integrated photovoltaics bipv,iii generation photovoltacs,multi junction photovoltaics
Development of a policy to stop the suffering caused by Nodding Syndrome and Onchocerciasis associated epilepsy (NSstop)

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: Belgium
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2017-09-01
End date: 2019-02-28
Duration (months): 18.0
Total project cost (EUR): 149687.5
EU funding (EUR): 149687.5
Participants: 1
Project status: CLOSED

Nodding syndrome (NS) is a form of epilepsy, characterized by head-nodding, often associated with severe intellectual disability, psychiatric problems, and early death. Initially, NS was reported only in onchocerciasis-endemic regions in Tanzania, Uganda and South Sudan. Until recently, the cause of the syndrome was unknown. Therefore, no strategy for prevention and cure was possible. Our ERC project (NSETHIO) discovered that NS is only one of the clinical presentations of onchocerciasis associated epilepsy (OAE) and that this form of epilepsy is probably present in all onchocerciasis endemic regions where onchocerciasis is insufficiently controlled. We estimate that the number of excess cases of epilepsy due to onchocerciasis could be as much as 100,000. Based on NSETHIO findings we will develop an innovative comprehensive OAE policy plan that will prevent children from developing OAE and that will reduce the negative consequences of OAE for the economy and society. This plan includes the following components: strengthening community directed ivermectin (IVM) treatment programs (IVM will stop OAE), establishing an SMS based epilepsy surveillance system by epilepsy trained community-directed IVM distributors, developing a community-based care system using evidence based OAE treatment algorithms, and a community-awareness program. We will fine tune the plan during 2 OAE stakeholder workshops, field test it in a high OAE prevalence health zone and calculate its cost. We will create an international OAE alliance including scientists and health care workers, representatives of communities and advocacy groups, WHO, Ministries of Health, non-governmental organizations, the pharmaceutical industry and donors to scale up the implementation of these interventions after the end of the NSstop project. Reducing the burden of disease caused by OAE will have great positive cultural, societal and economic impacts on affected families and villages in many parts of Africa.

Keywords: nodding syndrome,onchocerciasis,epilepsy,policy,africa
Gaussian entropic inequalities and uncertainty relations for communication and secure quantum key distribution (GENIUS)

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: Physics
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-04-01
End date: 2020-06-28
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Information and communication technologies are essential to modern society as the internet is pervading all aspects of our lives. Quantum mechanics imposes a fundamental limit to the communication rates. Determining this limit is one of the two challenges addressed by GENIUS. Given the amount of sensitive information sent through the internet, secure communications are essential to our society. To fulfill this need, the EU is investing in quantum key distribution (QKD) with the 1G€ Quantum Technology Flagship. The other challenge addressed by GENIUS is determining the maximum rate for secure communication that can be achieved by the forthcoming generation of QKD devices and proving their perfect security. To address the above challenges, I will firstly apply methods from functional analysis to prove new fundamental entropic inequalities for quantum Gaussian channels. Quantum Gaussian channels provide a mathematical model for the propagation of electromagnetic signals. Entropy is the core of information theory and quantifies the information content of a system. These inequalities will determine the maximum rates allowed by quantum mechanics for communication and QKD. Secondly, I aim to propose and prove a new fundamental entropic uncertainty relation for the heterodyne measurement. This uncertainty relation will prove the perfect security of the most promising QKD protocol. These new insights will have an enormous impact on both quantum communication and quantum cryptography and will stimulate what will be the first realization of quantum devices capable of communication and guaranteed perfectly secure QKD at the maximum possible rates. The experience of my supervisor Prof. Solovej in functional analysis and entropic inequalities combined with the experience of my co-supervisor Prof. Christandl in quantum cryptography make the QMATH group the ideal environment for carrying out this project and establishing myself as a leading independent multidisciplinary researcher.

Keywords: quantum information theory,quantum communication theory,quantum key distribution,quantum gaussian channels,entropic inequalities,entropic uncertainty relations