Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SYSTEMS ITD GAM 2020 (GAM-2020-SYS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Austria,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Germany,Spain,Ireland,Italy,Italy,Germany,Ireland,Poland,Switzerland,Poland,Sweden,Poland,France,France,France,France,France,France,France,France,France,Czechia,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Systems ITD GAM 2020 (H2020-IBA-CS2-GAMS-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 92496290.54
EU funding (EUR): 64580470.79
Participants: 66
Project status: SIGNED

The Systems ITD will develop and build highly integrated, high TRL demonstrators in major areas such as power management, cockpit, wing, landing gear, to address the needs of future generation aircraft in terms of maturation, demonstration and Innovation. Integrated Cockpit Environment for New Functions & Operations - D1: Extended Cockpit - D24: Enhanced vision and awareness - D25: Integrated Modular Communications Innovative Cabin and Cargo technologies - D2: Equipment and systems for Cabin & Cargo applications Innovative and Integrated Electrical Wing Architecture and Components - D3: Smart Integrated Wing Demonstrator - D4: Innovative Electrical Wing Demonstrator Innovative Technologies and Optimized Architecture for Landing Gears - D5: Advanced Landing Gears Systems - D6: Electrical Nose Landing Gear System - D7: Electrical Rotorcraft Landing Gear System - D17: Advanced Landing Gear Sensing & Monitoring System High Power Electrical Generation and Conversion Architecture - D8.1: Innovative Power Generation and Conversion for large A/C - D8.2: Innovative Power Generation and Conversion for small A/C Innovative Energy Management Systems Architectures - D9: Innovative Electrical and Control/Command Networks for distribution systems - D10: HVDC Electrical Power Network Demonstrator Innovative Technologies for Environmental Control System - D11: Next Generation EECS for Large A/C - D12: Next Generation EECS Demonstrator for Regional A/C - D13: Next Generation Cooling systems Demonstrators - D16: Thermal Management demonstration on AVANT test rig Ice protection demonstration - D14: Advanced Electro-thermal Wing Ice Protection Demonstrator - D15: Ice Detection System Small Air Transport (SAT) Innovative Systems Solutions - D18, D19, D21: More Electric Aircraft level 0 - D20: Low power de-ice for SAT - D22: Safe and Comfortable Cabin - D23: Affordable future avionic solution for small aircraft ECO Design T2: Production Lifecycle Optimisation Long-term Technologies T1: Power Electronics T3: Modelling and Simulation Tools for System Integration on Aircraft

Keywords: systems itd 2020 2021
European Network linking informatics and genomics of helper T cells (ENLIGHT-TEN)

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: Life Sciences
Countries involved: Austria,Germany,Germany,Germany,Austria,Germany,Germany,Germany,Finland,Switzerland,France,United Kingdom,Denmark,United Kingdom,United Kingdom,Portugal
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2015-10-01
End date: 2019-09-30
Duration (months): 48.0
Total project cost (EUR): 3354685.32
EU funding (EUR): 3354685.2
Participants: 19
Project status: CLOSED

ENLIGHT-TEN is a European Network Linking Informatics and Genomics of Helper T cells: our mission is to provide cross-disciplinary training in cellular immunology and big data analysis such that we train a new generation of researchers to fully exploit the power of emerging technological platforms. Our network of TEN beneficiaries combines T cell expertise with state-of-the-art technologies such as next generation sequencing (NGS), bioinformatics, multi-colour flow cytometry, preclinical models and tailored genome editing. Trainees will acquire a comprehensive knowledge in T cell immunology and the capacity to generate and interrogate big data sets as well as expertise in identifying novel biomarkers and developing therapeutic concepts. As such the training programme will provide an ideal stepping-stone for creative and innovative early stage researchers (ESRs) to enter and strengthen Europe’s academia as well as pharmaceutical and bioinformatics companies. The research focus of the network lies in the identification of extrinsic and intrinsic factors that control development, differentiation and plasticity of helper T cell subsets with particular emphasis on how T cell differentiation impacts on human diseases. The generation of large data sets is an emerging and challenging field, and there is high demand in both the academic sector as well as pharmaceutical companies for researchers to be able to analyse, integrate and exploit this rich source of information. ENLIGHT-TEN will combine the individual strengths of innovative laboratories and enterprises from complementary disciplines to provide unique interdisciplinary training for 13 ESRs, placing them at the forefront of this emerging field. Trainees will be empowered to perform cutting-edge analysis of the steadily increasing number of different T cell subsets, which play highly diverse and critical roles in the development of autoimmune diseases, making them a key target for pharmaceutical companies.

Keywords: t cell differentiation,t cell plasticity,autoimmune diseases
ANTIBIOTICS CONTROL FOR ALL (TEST4ALL)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2018-04-01
End date: 2021-03-31
Duration (months): 36.0
Total project cost (EUR): 1138648.75
EU funding (EUR): 797054.13
Participants: 1
Project status: CLOSED

The World Health Organization considers the antibiotic resistance as one of the three greatest threats to human health for the next decades. The farm sector is the major user of these medicines due to the great benefits for animal production. Therefore, there is a high risk to find contaminated food with antibiotic residues. The impact of misuse and wrong control of antibiotics constitutes a great social, economic and technological burden for the UE. Antibiotic resistance causes 25.000 deaths per year in Europe. According to EU legislation all food operators are responsible for food safety. Current antibiotic detection systems in milk are designed for qualified analysts and are manually operated. Test4all is a simple, automatic and an affordable system which makes milk testing accessible to all operators. Our company ZEULAB, with more than 16 years offering innovative solutions in this field, has developed this novel antibiotics detection system. Test4all is the first automatic system that makes the results available in real time. These unique features will allow farmers to do easy self-controls before supplying the milk and dairies to screen antibiotics during the milk transport in trucks. Test4all is based on the combination of high sensitive biological test with a portable device controlled by a smartphone App that transfer the results to a secure cloud network. Farmers and dairies will check data anytime anywhere. This project will place ZEULAB in the forefront of a potential market of millions of tests that will allow our company to grow at least 7 times (25 M€ of sales, 25Mi€ of cumulative profits and 90% of exports) in the next 5 years. This growth is based on the 600.000 EU farmers and 12.000 dairy plants. The current strong distributor network of ZEULAB presents in more than 40 countries will be the driver of the fast market introduction.

Keywords: smart system for antibiotics self controls for milk operators
An Artificial Assistant for Software Developers (DEVINTA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-07-31
Duration (months): 66.0
Total project cost (EUR): 1499093.0
EU funding (EUR): 1499093.0
Participants: 1
Project status: SIGNED

Software development, also due to the complexity of software systems, is tackled by collaborating teams of people. For example, in pair programming two developers share a single workstation: One writes code, while the other reviews it and proposes ideas for improvement. While interacting with teammates is the preferred means to obtain help, their availability may fall short and they might not always have a solution at hand. To address this problem, recommender systems for developers have been proposed in the form of applications providing information items considered valuable for a given task and context (e.g., recommending documentation useful to understand a code component). However, these recommenders can hardly be considered as a valid alternative to teammates since they are not proactive, do not support the developer in a wide variety of tasks, do not adapt their recommendations to the developer’s profile, and fall short in having meaningful interactions with the developer (e.g., they are not able to answer developers’ questions). Given the advances in artificial intelligence, the vision that one day a developer's teammate is a machine does not seem far-fetched anymore. The DEVINTA project aims at making this future a reality, introducing models and techniques serving as the basis for the first artificial assistant supporting developers in their everyday activities. The assistant helps in (i) comprehending unfamiliar code via source code to natural language translation; (ii) writing code faster, providing predictive feature implementation, meaning the ability to infer the feature the developer is implementing and automatically complete it; and (iii) improve code quality, performing online code review while the developer types the code, timely catching bugs and suboptimal implementation choices and providing solutions for them. The assistant uses advanced conversational interfaces to interact with the developer, answer her questions, and disambiguate her needs.

Keywords: software engineering,recommender systems for software developers,software quality
Implementation of personalised risk prediction and prevention of sudden cardiac death after myocardial infarction (PROFID)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Innovation actions
Countries involved: Germany,Germany,Spain,Germany,Germany,Germany,Italy,Israel,Germany,Hungary,Poland,Sweden,France,France,Czechia,Netherlands,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Demonstration pilots for implementation of personalised medicine in healthcare (H2020-SC1-2019-Two-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 23307508.08
EU funding (EUR): 19884569.75
Participants: 27
Project status: SIGNED

Sudden cardiac death (SCD) is a major public health problem accounting for ~20% of all deaths in Europe with an estimated yearly incidence of ~350-700,000, often in patients with previous myocardial infarction (MI). In SCD, the heart suddenly and unexpectedly stops beating. If untreated, the patient dies within minutes, but SCD can be successfully prevented by an implantable cardioverter-defibrillator (ICD). The ICD is highly effective, but is associated with potentially severe complications and high healthcare costs. Based on historical evidence, guidelines recommend prophylactic ICD implantation in post-MI patients with left ventricular ejection fraction (LVEF)≤35% to prevent SCD. However, only a minority of these patients will ever need the device. In addition, in absolute numbers the majority of SCD cases occurs in patients with LVEF>35% who are currently not considered for prophylactic ICD. Due to the inherent risks and considerable health care expenditures, a personalised treatment approach for ICD implantation is urgently required. Using state-of-the-art methods and large clinical datasets from established international cohorts and registries across different European geographies, PROFID will develop a clinical decision support tool (risk score) to predict the individual SCD risk and identify those post-MI patients that will optimally benefit from an ICD. Two parallel randomised clinical trials will validate implementation of the risk score to determine ICD implantation, while health economic analyses will assess its economic impact on health care systems. A software tool for clinical use of the risk score will be implemented, and a pilot run in 3 European regions with participation of insurance companies and authorities. The unique composition of the consortium with key opinion leaders, patient organisations, large hospital chains, payers, policy makers and state authorities across Europe, will ensure implementation into routine clinical practice.

Keywords: sudden cardiac death,clinical decision tool,post myocardial infarction
Targeting MarA to Inhibit Efflux (TaMIE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-02
End date: 2022-09-01
Duration (months): 36.0
Total project cost (EUR): 337400.64
EU funding (EUR): 337400.64
Participants: 1
Project status: CLOSED

Antibiotic resistance is a growing global crisis and current predictions suggest that by 2050 drug resistant bacteria will cause up to 10 million deaths a year globally. Bacteria employ many mechanisms to become resistant to antibiotics. One important mechanism is antibiotic efflux where membrane bound efflux pumps actively pump molecules, including antibiotics, out of bacterial cells. The RND-family AcrAB efflux pump confers multi-drug resistance in many Gram-negative bacteria including Escherichia coli and is commonly over-produced in antibiotic resistant clinical isolates. Regulation of RND efflux pump expression is complex but in E. coli the master regulator is the AraC/XylS family global transcription factor MarA. In spite of its relevant role up to now no inhibitor targeting this protein has been published. In this project we aim to develop efflux inhibitors that prevent transcription of acrAB by inhibiting MarA and to test their efficacy by measuring AcrAB expression and activity. In order to design the inhibitors we will analyse MarA structure and its direct DNA interactions based on available crystal structures. We will design oligonucleotides acting as a transcriptional factor decoy that modulate transcription by sequestering MarA from their endogenous DNA binding sites (RO1). We will also design peptides acting as inhibitors by blocking DNA-MarA interactions (RO1). Nextly we will measure the affinity of the inhibitor-MarA complexes by in vitro biochemical assays (RO2) and in vivo experiments (RO3). In RO4, we will crystallize the most promising inhibitor-MarA complexes in order to improve their efficacy after structure analysis. Successful development of these inhibitors will open an avenue in the fight against antibiotic resistance conferred by increased efflux pump activity. Training in efflux pumps to complement her existing skills in protein structure analysis will position the ER as a future research leader in the antibiotic resistance field.

Keywords: rnd type efflux pumps,acrab gene regulation,mara,dna decoy,peptide inhibitor
Eco-innovative technologies for sustainable exploitation of macromolecules from insects as alternative resource in bioeconomy (inTECH)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2022-03-30
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

The overall aim of the inTECH project is to develop eco-innovative technological solutions for sustainable exploitation of insects into key macromolecules. The inTECH is built on the applicant’s existing technical and research competencies in the area of novel processing and extraction technologies thus enabling her to transfer these skills to develop and optimise eco-innovative technologies for sustainable exploitation of insect fractions including proteins, lipids and chitin for potential food applications. Insect derived proteins are of interest as a sustainable substitute for conventional sources of proteins commonly employed for food and feed applications. Currently, employed extraction techniques are not environmental friendly and mainly rely on the use of solvents. The inTECH project will investigate and develop key eco-innovative processing/extraction technologies platform that have a proven track record in their ability to enhance extraction yields and that are also environment friendly. The innovative aspect of inTECH project will be to develop first-of-a-kind technological toolbox of pretreatment, extraction, processing and drying techniques suitable for house crickets while adopting a zero-waste process for holistic utilisation of all insect fractions. It is expected that the inTECH project will address EU’s challenge of protein deficits and contribute towards sustainable bioeconomy.

Keywords: insect proteins,extraction technologies,ultrasound technologies,bioeconomy,chitin
Pulmonary hypertension: “aberrant” mimicry of lung vascular morphogenesis? (Restoring Roots)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Chronic pulmonary hypertension (PH) is a lethal disease characterized by the accumulation of persistently activated cell types in the pulmonary vasculature, exhibiting aberrant expression of genes driving apoptosis resistance, proliferation, inflammation and matrix remodeling. Current vasodilatory therapies for PH do not normalize these activated phenotypes. I have performed an “integromics” approach – combining epigenetic and transcriptional analyses to comprehensively elucidate the underlying molecular mechanisms. This approach provided evidence for the recapitulation of a “fetal-like” “remodeled” lung vascular phenotype, orchestrated via central lung developmental transcription factor (TF) networks with particular emphasis on TBX4, TBX5 and SOX9. Moreover, in addition to de-novo onset of this “fetal epigenetic programming” in adult PH, postnatal maintenance of such programming may underlie persistent pulmonary hypertension of the newborn (PPHN). Placing TBX4/TBX5/SOX9 at the center, I will probe this hypothesis i.e. will define their contribution to vascular remodeling processes underlying neonatal and adult PH. Studies will be performed in primary vascular cells and viable tissue slices from human/ experimental PH lungs, and various transgenic mouse lines. Furthermore, I will address the relationship among TBX4/TBX5/SOX9 in a transcription network that controls PH development using CRISPR–dCas9-activator mice. In addition, uncovering the TBX4/TBX5/SOX9-epigenetic circuitry by profiling epigenetic landscape ([sc]RNA-, ChIP-, ATAC-, MeD-, histone PTMs- seq) in both “pathological remodeling” and the loss of “physiological reverse remodeling” in PPHN, I aim to harness novel intervention strategies (locus-specific epigenetic modifications) to reverse aberrant remodeling and foster regeneration of lung vasculature. Hence, this proposal is highly innovative as it explores the hypothesis of a “developmental origin” of PH and PPHN and offers novel therapeutic strategies.

Keywords: pulmonary hypertension,pulmonary vascular diseases,transcription factors,epigenetics