Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Easy Reading: A Framework for Personalised Cognitive Accessibility when using Original Digital Content (Easy Reading)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Austria,Israel,Sweden,Sweden,France,United Kingdom
Call: Interfaces for accessibility (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-06-30
Duration (months): 30.0
Total project cost (EUR): 2237875.0
EU funding (EUR): 1992063.0
Participants: 9
Project status: CLOSED

The “Easy Reading” framework will improve the cognitive accessibility of original digital documents by providing real time personalisation through annotation (using e.g. symbol, pictures, videos), adaptation (using e.g. layout, structure) and translation (using e.g Easy-to-Read, Plain Language, symbol writing systems). The framework provides these (semi-)automated services using HCI techniques (e.g. pop-ups/ Text-To-Speech (TTS)/captions through mouse-over or eye-tracking) allowing the user to remain and work within the original digital document. This fosters independent access and keeps the user in the inclusive discourse about the original content. Services adapt to each user through a personal profile (sensor based tracking and reasoning of e.g. the level of performance, understanding, preferences, mood, attention, context and the individual learning curve). The interdisciplinary project team includes users with cognitive disabilities in all phases through the Inclusive Participatory Action Research Method (IPAR) ensuring to address real users´ needs. The “Easy Reading” framework is planned as a cloud based, open source and freely available support infrastructure. It will reach as many people with limited reading and language skills (e.g. people with cognitive disabilities - ~2,5% of the population - older adults, people with a different mother tongue) summing up to 25% in some regions or countries. Additionally, many more people will enjoy exploring new and unfamiliar content using personalised access. This framework integrates and supports state-of-the-art and future R&D. It incorporates tools for annotation, adaptation and translation of content by providing a sustainable user-centred eco-system for personalisation. It promotes European ideals and enables independent applications to leverage the infrastructure and socialize their application for business (profit and non-for profit) in a new EU driven growth market.

Keywords: accessibility,web accessibility,cognitive accessibility,assistive technologies
TRANSPARENT APPLICATION DEPLOYMENT IN A SECURE, ACCELERATED AND COGNITIVE CLOUD CONTINUUM (SERRANO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Israel,Spain,Spain,Cyprus,Greece,Romania,Greece,Luxembourg,Denmark,United Kingdom
Call: Cloud Computing: towards a smart cloud computing continuum (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 4343180.0
EU funding (EUR): 4343180.0
Participants: 11
Project status: SIGNED

SERRANO’s overall ambition is to introduce a novel ecosystem of cloud-based technologies, spanning from specialized hardware resources up to software toolsets. This will enable application-specific service instantiation and optimal customizations based on the workloads to be processed, in a holistic manner, thus supporting highly demanding, dynamic and security-critical applications. SERRANO is not only tuned and fully aligned with current trends in the cloud computing sector towards the expansion of cloud infrastructures so as to efficiently integrate edge resources, but it also integrates transparently HPC resources ir to provide an infrastructure that goes beyond the scope of the “normal” cloud and realizes a true computing continuum. SERRANO introduces an abstraction layer that transforms the distributed edge, cloud and HPC resources into a single borderless infrastructure, while it also facilitates their automated and cognitive orchestration. It proposes the introduction and evolution of novel key concepts and approaches that aim to close existing technology gaps, towards the realization of advanced infrastructures, able to meet the stringent requirements of future applications and services. It will develop technologies and mechanisms related to security and privacy in distributed computing and storage infrastructures, hardware and software acceleration on cloud and edge, cognitive resource orchestration, dynamic data movement and task offloading between edge/cloud/HPC, transparent application deployment, energy-efficiency and real-time and zero-touch adaptability. Finally, to highlight the proposed ecosystem’s scientific and technological significance, SERRANO will demonstrate three high impact use cases related to (i) secure cloud and edge storage over a diversity of cloud resources, (ii) fintech by supporting latency-sensitive and safety-critical digital services in the financial sector and (iii) machine anomaly detection in manufacturing for Industry 4.0

Keywords: secure cloud storage,cloud,edge acceleration,cognitive resource orchestration,high performance cloud computing
Novel Strategy to cope with Multidrug Resistant Pathogens (AgainstResistance)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Portugal
Call: Widening Fellowships (H2020-WF-02-2019, 2019)
Start date: 2021-04-01
End date: 2023-03-31
Duration (months): 24.0
Total project cost (EUR): 147815.04
EU funding (EUR): 147815.04
Participants: 1
Project status: CLOSED

The World Health Organization recently added Acinetobacter baumannii at the top of the priority list of emerging and critical pathogens, against which the number of effective antibiotics is alarmingly low. I propose to find novel antimicrobial targets for A. baumannii by discovering haem related systems that contribute to its survival. Bioinformatics will be used as a powerful tool to explore A. baumannii haem metabolism-related genes. The role of these genes will be tested through microbiology and biochemistry approaches, and their contribution to virulence will be analysed in host-pathogen interaction assays. This multidisciplinary research programme will boost my scientific skills and act as a pipeline to launch my career as an independent researcher. Furthermore, this proposal has the added value of including a custom-made training programme on leadership, management, dissemination and outreach activities. Hence, “AgainstResistance” will be the ideal framework to enhance my competences, maturity and independence as a competitive researcher, and crucial to boost my career prospects as a future group leader in the field of antimicrobial resistance, which is one of the critical current and future health challenges. The proposal will make a real difference in European excellence and competitiveness by materialising its leadership and expertise in multidrug resistance of human pathogens.

Keywords: haem homeostasis,acinetobacter baumannii,multi drug resistance,nitrosative stress
Diagnostics device for rapid identification and antibiotics susceptibility testing of pathogens (Biotrack-MED)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Biotrack is a SME focused on the development and commercialization of novel microbial detection technology to achieve real time and actionable diagnostics. Our technology is covered with a solid patent portfolio. We have identified a high market need for new pathogen detection techniques due to 2 main reasons: A) Dependency on standard microbiological protocols might delay early diagnosis; B) Growing demand for research and innovation, and a better quality and patient-centered technology due to the dramatic spread of antibiotic-resistant infections. Biotrack's innovative solution, Biotrack-MED, is a micro-laboratory capability solution for the rapid detection, identification and antibiotic susceptibility testing of pathogens in any biological sample. Biotrack-MED is a fast and effective user-adaptable solution that combines multiple analytical principles for microbial identification and antibiotic pre-screening (total operative time: 0,5-4 hours), and it's capable of analyzing any microorganism (bacteria, virus, yeast). Our solution can be placed anywhere (includes a complementary mobile app) and it is equipped with state-of-the-art privacy and decision-making tools. Biotrack-MED offers a cost-effective low-cost substitution (50% saving) of traditional laboratories, and it does not require any skilled personnel to be used. Considering the advantages of our unique healthcare solution, our expected customers in the EU are public and private hospitals and clinics. We have estimated that 5 years after start of commercialization we will reach a ROI of 5.8.

Keywords: pathogen,antimicrobial resistance,detection,neural network,analysis,antibiotics susceptibility
Individualizing statin therapy by using a systems pharmacology decision support algorithm (IndiviStat)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Finland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-08-01
End date: 2023-07-31
Duration (months): 72.0
Total project cost (EUR): 2211564.75
EU funding (EUR): 2211564.75
Participants: 1
Project status: SIGNED

Background: Statins are essential drugs in the treatment of hypercholesterolaemia and are among the most prescribed drugs worldwide. The response to statin therapy varies widely between individuals. While most patients show good efficacy, a significant proportion of individuals show poor or even a lack of cholesterol-lowering efficacy. Moreover, a number of patients experience adverse drug reactions. These together with the lack of immediate effect on well-being likely explain the relatively poor adherence to statin therapy. Poor adherence to statins in turn increases the incidence of cardiovascular events and mortality. Aims: The objectives of this project are 1) to develop a systems pharmacology model for predicting statin efficacy and tolerability at the level of an individual patient and 2) to investigate whether selecting the statin based on the model improves treatment adherence. Methods: A systems pharmacology approach will be used to integrate data from in vitro and clinical studies. Semi-physiological pharmacokinetic-dynamic-toxicologic models will be built for each statin allowing the prediction of the pharmacokinetic and clinical outcomes for patients with different characteristics, genotypes, and concomitant medications. The ability of the systems pharmacology algorithm to enhance adherence will be investigated in a randomized clinical trial. Significance: Systems pharmacology models have been increasingly applied in drug development, for example to predict the effect of organ dysfunction on pharmacokinetics. The proposed project is the first to use systems pharmacology predictions to guide clinical drug therapy, thus going beyond the state of the art. If successful, the project will not only improve the prevention and treatment of cardiovascular disease, but it will open new horizons to individualizing drug therapies.

Keywords: pharmacogenomics,pharmacokinetic modelling,statin,systems pharmacology
Iron-sulphur cluster biogenesis: deciphering new molecular mechanisms and exploiting novel antifungal and fungicide targets (FungiFeS)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: SIGNED

Fungi have major socioeconomic impacts. Recent estimates suggest that invasive human fungal infections kill more than 1.6 million people annually and that 600 million people could be fed each year by halting the spread of fungal diseases in the five most important crops. A range of antifungals/fungicides is currently used to control fungal pathogens in medicine and agriculture, but resistance to those is growing underscoring the urgent need for new molecular targets and treatments. Iron-sulphur (FeS) clusters are inorganic cofactors found in all kingdoms of life and required for several essential cellular processes, such as DNA synthesis, mRNA translation, and respiration. Pathways required for their biogenesis were suggested to represent possible novel antifungal/fungicide targets. The aims of the project are: (1) to identify, via chemical high throughput screening, natural compounds targeting the essential mitochondrial (Arh1-Yah1) and cytoplasmic (Tah18-Dre2) NADPH-dependant electron transfer chains involved in the FeS cluster biogenesis. These compounds could be used in combination with other agents to kill fungal pathogens lowering cost and potential toxicity by reducing doses needed to inhibit fungal growth. (2) To highlight new targets for antifungals/fungicides among the FeS cluster biogenesis and associated pathways. (3) To establish the interaction network of the ferredoxin Yah1 involved in the early steps of the FeS cluster biogenesis knowing that several steps of this process remain poorly understood and new factors may still be discovered. The project will be carried out in the group “Oxidative stress, FeS protein and Cancer” (CNRS-ICSN, Gif-sur-Yvette, France) and will address those objectives by combining my own expertise and that of the host laboratory in microbiology, genetics, biophysics and biochemistry, drug screening and of cutting-edge technologies and approaches such as Förster resonance energy transfer, microfluidics and chemoproteomics.

Keywords: fungal pathogens,antifungals,fungicides,synergistic combinations,iron sulphur cluster biogenesis,mitochondrial ferredoxin,protein interaction network,redox biology,high throughput screening
Stable Crosslinked Graphene Membranes for Water and Molecular Separation (StaGraM)

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: Chemistry
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-08-09
End date: 2019-08-08
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

With less than 1 percent of drinkable water on Earth and growing pollution the demand for drinking water can only be met through the advanced separation and purification technology. Membrane-based filtration technologies are standard separation processes and are widely used in water treatment; however their performance is still severely limited due to their underperformance in terms of flux, selectivity, porosity, cleaning ability, and stability. Recent advancement in nanostructured membranes based on layered graphene construct enables a paradigm shift in the membrane development due to its almost zero resistance for water molecules and 100% rejection of other components. Recent reports suggest that an ideal membrane could be realized using graphene because of its atomic thickness, high mechanical strength, and chemical inertness. Although the graphene based membranes showed excellent separation performance; unfortunately their durability and stability is the biggest obstacle in realization of its full potential. We propose to develop suitably cross-linked ultrathin graphene oxide membranes with improved mechanical property and durability. Our approach is to combine the innovative membrane fabrication technologies and the science of graphene materials to realize high-permeable and durable graphene membranes for water treatment purposes. This project will develop cross-linked graphene membranes by covalent crosslinking to obtain: I) high stability and durability, II) retained or minimally affected water flux and rejection and III) last but not least, adding new properties such as anti(bio-)fouling in the membranes. Such novel crosslinking will be achieved by using low molecular weight functional molecules, oligomers, polymers and mussel inspired chemistry. By the research of this project, a set of new crosslinking methodologies and knowledge of preparing graphene oxide membranes and their real applications will be developed.

Keywords: graphene,membranes,crosslinking,water filtration,separation,materials chemistry,2d materials
Thermal imaging of nano and atomic-scale dissipation in quantum states of matter (ThermoQuantumImage)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Israel
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-06-01
End date: 2023-05-31
Duration (months): 60.0
Total project cost (EUR): 3075000.0
EU funding (EUR): 3075000.0
Participants: 1
Project status: SIGNED

Energy dissipation is a fundamental process governing the dynamics of physical, chemical and biological systems and is of major importance in condensed matter physics where scattering, loss of quantum information, and even breakdown of topological protection are deeply linked to intricate details of how and where the dissipation occurs. But despite its vital importance, dissipation is currently not a readily measurable microscopic quantity. The aim of this proposal is to launch a new discipline of nanoscale dissipation imaging and spectroscopy and to apply it to study of quantum systems and novel states of matter. The proposed scanning thermal microscopy will be revolutionary in three aspects: the first-ever cryogenic thermal imaging; improvement of thermal sensitivity by five orders of magnitude over the state of the art; and imaging and spectroscopy of dissipation of single atomic defects. We will develop a superconducting quantum interference nano-thermometer on the apex of a sharp tip which will provide non-contact non-invasive low-temperature scanning thermal microscopy with unprecedented target sensitivity of 100 nK/Hz1/2 at 4 K. These advances will enable hitherto impossible direct thermal imaging of the most elemental processes such as phonon emission from a single atomic defect due to inelastic electron scattering, relaxation mechanisms in topological surface and edge states, and variation in dissipation in individual quantum dots due to single electron changes in their occupation. We will utilize this trailblazing tool to uncover nanoscale processes that lead to energy dissipation in novel systems including resonant quasi-bound edge states in graphene, helical surface states in topological insulators, and chiral anomaly in Weyl semimetals, and to provide groundbreaking insight into nonlocal dissipation and transport properties in mesoscopic systems and in 2D topological states of matter including quantum Hall, quantum anomalous Hall, and quantum spin Hall.

Keywords: graphene,2deg,topological insulators,weyl semimetals,quantum anomalous hall,quantum spin hall,superconductivity,squid,scanning probe microscopy,thermal imaging,quantum metrology
Achieving unique wines through an efficient production process (ECOBIOMASS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2022-03-31
Duration (months): 30.0
Total project cost (EUR): 1434050.0
EU funding (EUR): 1003835.0
Participants: 1
Project status: CLOSED

Nowadays, it is very difficult for Designation of Origin wineries to achieve efficient production processes for unique wines. This is because to yield unique aromas in a wine, indigenous microorganisms must be used, and the growth scale up of these microorganisms needs specific bioreactors and nutrients which currently are either not available for wine sector, or they do not accomplish the desired requirements of automation, sensitivity and price. LEV2050 has developed ECO-BIOMASS, the only solution in the market to efficiently produce personalized wines using selected indigenous microorganisms. It includes selection of optimal indigenous microorganisms, specific bioreactors installation in customer facilities and nutrients supply. ECO-BIOMASS main innovation is the superiority of their patented bioreactors over those in the market, in terms of automation, traceability and price. The objective is the introduction in the wine production reference markets in Europe (Spain, France, Italy and Portugal). The commercialisation plan in these markets will produce a prescription effect over the rest of producer countries, including USA, making them ready for further stages of the commercialisation plan of LEV2050.

Keywords: wine,fermentation,microorganism,bioreactor,nutrient,yeast,lactic bacteria,winery,differentiation,quality