Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Small molecule inhibitors of bacterial communication - a new strategy for tackling antimicrobial resistance (COUNTERMAND)

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: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-10
End date: 2025-04-29
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: CLOSED

Bacteria which are resistant to antibiotics currently result in 33,000 deaths per annum in Europe alone. Antimicrobial Resistance (AMR) will potentially cost the EU an estimated €1.5 billion annually in healthcare expenses and productivity losses. By 2050, 10 million people are expected to die each year as a result of AMR-related infections. New strategies are urgently required to deal with this growing crisis. One such strategy involves the disruption of native bacterial communication systems, also known as quorum sensing. Bacteria typically communicate with one another using a ‘language’ based on small messenger molecules. In this way, a colony of bacteria can co-ordinate their responses to environmental stresses, such as the administration of an antibiotic. These responses come under a variety of forms, but one of the most common is the production of biofilm, which shields the bacteria from the effects of the antibiotic. The aim of this COUNTERMAND project is analyse the messenger molecules utilised by bacteria which controls their resistance mechanisms. We will create new molecules which serve to confuse the bacteria, and prevent them from launching their resistance countermeasures. By blocking the formation of biofilms, the bacteria will again be vulnerable to the effects of antibiotics. We will adopt a multidisciplinary and collaborative approach combining the talents of chemists in Ireland and microbiologists across the EU to find the most effective inhibitor molecules. Importantly, this approach means that a new lease of life can be given to current antibiotics, without the expense and risk involved in the discovery of new antibiotics. This COUNTERMAND project represents a novel and promising solution to tackling AMR, offering significantly improved quality of life for patients and increased life expectancies.

Keywords: antimicrobials,resistance,quorum sensing,drug discovery,bacteria,bioisosteres
Real world Outcomes across the AD spectrum for better care: Multimodal data Access Platform - Sofia ref.: 116020 (ROADMAP)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Public-private partnerships
Destination: Innovative Medicines Initiative 2
Action type: Research and Innovation actions
Partnership: IMI2 (Art-187)
Countries involved: Spain,Spain,Sweden,Switzerland,Switzerland,Belgium,France,Netherlands,Netherlands,Netherlands,Netherlands,Netherlands,Denmark,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Luxembourg,United Kingdom,United Kingdom
Call: Real World Outcomes Across the AD Spectrum (ROADS) to Better Care (H2020-JTI-IMI2-2015-06-two-stage, 2015)
Start date: 2016-11-01
End date: 2018-10-31
Duration (months): 24.0
Total project cost (EUR): 8210381.0
EU funding (EUR): 3998250.0
Participants: 26
Project status: CLOSED

The aim of ROADMAP is to provide the foundation for a Europe-wide real world evidence (RWE) platform in AD by piloting multi-modal data integration tools and engaging with all key stakeholder groups for consensual definition of patient outcomes, tools and methods that are actionable and relevant. ROADMAP will leverage best practice and exploit synergies with other projects and initiatives at the national and European levels in pursue of scalable and transferable solutions for dataset characterisation, outcome classification, data standards, data sourcing, software application and guidelines on the handling and interpretation of RWE data. In parallel, the project will deepen understanding of the ethical, legal and social implications (ELSI) and health economics (HE) impact of a RWE approach for a meaningful contribution to the Big Data for Better Outcomes programme in IMI2. The ROADMAP programme will consist of 8 integrated work packages by which the Consortium will work to (1) identify relevant AD outcomes and progression markers; (2) identify and pool AD-related RWE across data sources; (3) develop and validate disease progression models combining diverse datasets and strategies; (4) develop risk/value-based costing and health economics models for HTA/regulators, service providers, industry and carers; (5) establish stakeholder-based guidelines for RWE; (6) develop a communication strategy focussing on the needs of patients and professionals; (7) develop an ELSI framework for the development and application of RWE in AD. The ROADMAP consortium brings together outstanding expertise, experience and traction in the field, including many of Europe’s top institutions, authorities, companies, experts in AD, biomedical informatics and analysis of epidemiologic and routinely collected health data sources, providing direct connections to key initiatives such as DPUK, EMIF, EPAD and others.

Keywords: real world evidence,alzheimer s disease,health economics,data sourcing,patient outcomes
Illes Balears INNOvation Management Services (IB INNO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-05-01
End date: 2014-12-31
Duration (months): 8.0
Total project cost (EUR): 8472.5
EU funding (EUR): 6778.0
Participants: 1
Project status: CLOSED

The overall IB-Inno objective will be the establishment of feasibility and efficacy of an enhancing the innovation management capacity of SMEs service in the Balearic Islands region, that leads to a smart growth in the European Union by increasing the efficiency and effectiveness of investments in research, development and innovation and by contributing to a better and more efficient connection of stakeholders in the innovation fabric. In order to realize this goal, the core objectives are broken down as follows: • Improve the international commercial potential of SMEs • Help SMEs to sustainable high growth through innovation • Achieve tangible managerial transformation IB-Inno will act as access point to the innovation and internationalization system in the Balearic Islands region, covered by IB-Services Enterprise Europe Network consortium.

Keywords: innovation management,growth,internationalization,capacity building,sme instrument
Novel therapeutic approaches to improve gastrointestinal wound healing (GUTPEPTIDES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Austria
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1487396.0
EU funding (EUR): 1487396.0
Participants: 1
Project status: SIGNED

The gastrointestinal epithelium is a major physical barrier that protects us from diverse and potentially immunogenic or toxic content. A compromised epithelium results in increased permeability to such content, thus leading to inflammation, immune response, pain, and diseases, such as irritable bowel syndrome and inflammatory bowel disease. A therapeutic strategy that controls inflammation and restores the barrier represents an innovative approach for the prevention and treatment of such diseases. This proposal focuses on how gut peptides regulate epithelial protection and repair, and explores novel therapeutic opportunities by targeting gut receptors that become accessible once the epithelium is compromised. We propose to tackle the overall aim of improving gastrointestinal wound healing via three complementary objectives: (I) to investigate the therapeutic potential of the oxytocin receptor during gastrointestinal inflammation, (II) to elucidate the mechanism of trefoil factor peptide-induced gastrointestinal wound healing, and (III) to discover and characterise novel ligands suitable for epithelial repair. To achieve these objectives, we employ a multidisciplinary approach that includes state-of-the-art peptide synthesis, scaffold grafting, pharmacology, gut stability and wound healing assays, and inflammatory mouse models. We will develop probes to study the mechanisms of action at a molecular level that is not possible with current tools, and explore the biological diversity of venoms for novel therapeutic leads. This project will significantly advance our understanding of epithelial protection/repair and reveal drug targets that treat the source of the problems rather than the symptoms. This project has the potential to change the way we think about treating gut disorders and how to develop peptide therapeutics, and it will pave the way towards the intriguing and longer-term goal of modulating the central nervous system via the gut-brain axis.

Keywords: peptide synthesis,trefoil factor peptides,venom peptide drug discovery,oxytocin receptor,native chemical ligation,gastrointestinal wound healing
NOvel Decision Support tool for Evaluating Strategic Big Data investments in Transport and Intelligent Mobility Services (NOESIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Germany,Spain,Serbia,Sweden,Netherlands,United Kingdom
Call: Big data in Transport: Research opportunities, challenges and limitations (H2020-MG-2017-SingleStage-INEA, 2017)
Start date: 2017-11-01
End date: 2019-10-31
Duration (months): 24.0
Total project cost (EUR): 1197831.25
EU funding (EUR): 1197831.25
Participants: 8
Project status: CLOSED

NOESIS project will identify the critical factors/features which lead to successful implementation of Big Data technologies and services in the field of transport and logistics with significant value generation from a socioeconomic viewpoint. This will be achieved through the examination of areas and contexts throughout Europe, in which ICT investments and exploitation of data should be implemented. The impact of Big Data will be evaluated in a series of transportation use cases (Big Data in Transport Library) by developing and applying a ‘Learning framework’ and a Value Capture mechanism which will estimate the expected benefits and costs.
Multiomics based analysis of brain-gut axis: A search for gastrointestinal disease phenotypes (BrainGutAnalytics)

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: Norway
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): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: CLOSED

An intimate yet less known relation between human brain and gut is rapidly emerging as several recent studies have identified various alterations within brain as a result of gastrointestinal disorders and reported comparable variations in gastrointestinal system due to altered brain outputs. These relationships are collectively termed as brain-gut axis and a deeper understanding of its exact nature and operation can lead to development of novel diagnosis, drugs and precision treatment for both neurological and gastrointestinal disorders. The first step towards establishing a comprehensive understanding of brain-gut axis is to identify suitable phenotypes that can be used to describe certain disease state and serve as basis for further investigations into operation of brain-gut axis. In this study, a multiomics based data analysis approach is proposed to search for exclusive and generalizable phenotypes of a certain gastrointestinal disorder. Our multiomics data consist of multimodal imagery of brain and gut, clinical diagnostics, microbial profiling, questionnaire based disease evaluations, genetic and molecular representations taken from carefully designed cohorts of patients and healthy controls. Our data analyses will employ a variety of techniques including digital image processing, computer vision, machine learning and statistical methods to determine covariate factors in omics, which will be then used to identify representative biomarkers for gastrointestinal disorders. We also aim to develop a novel diagnosis system for gastrointestinal disease based on novel biomarkers through a combination of neuroimaging and digital image processing pipeline . Our research is expected to excel the existing knowledge on brain-gut axis by exposing critical phenotypes, employing them for early diagnostic and paving way towards deeper understanding of brain-gut axis.

Keywords: multiomics,brain gut axis,biomedical image processing,data analysis
Eurosolar for all: energy communities for a fair energy transition in Europe (Sun4All) (Sun4All)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Italy,Spain,Germany,Norway,France,France,Portugal
Call: Mitigating household energy poverty (H2020-LC-SC3-EE-2020-2, 2020)
Start date: 2021-10-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 1665764.87
EU funding (EUR): 1660264.87
Participants: 12
Project status: SIGNED

Ensuring that vulnerable households have access to renewable energies is equitable, helps to cover energy needs, and can support multiple policy goals, such as affordable energy, job creation, and improved public health. Although the need is great, many households may not be able to afford RES installations or may be inhibited from participating in the energy transition for other reasons such as lack of access to information, difficulties to access finance or ownership patterns. EuroSolar for All (Sun4All) sets up a financial support scheme for renewable energy access for energy poor households. The programme offers vulnerable consumers the opportunity to subscribe to community solar. The general scheme is based on the existing New York’s initiative named “Solar for All” and will be adapted and implemented in 4 cities and regions in Europe: Barcelona (ES), Communauté de Communes Coeur de Savoie (FR), Rome (IT) and Almada (PT). The overall idea is to offer solar shares to vulnerable consumers instead of a traditional social subsidy (p.e to pay utility bill arrears). The beneficiaries of the programme will be co-owners of a local PV plant and the revenues produced through the generation and selling of the energy will be used to reduce energy bills. Besides, ES4All presents other multiple co benefits: -Beneficiaries save money through a free community solar subscription -Access is ensured whether participants are renters or homeowners ensuring their participation into the energy transition and leaving no one behind. -Eurosolar for All facilitates behaviour change and provides tailored advice to beneficiaries. -The programme optimizes social subsidies by transforming them into a profitable investment for the beneficiaries After testing and evaluating the model in these 4 cities and regions, replication and up-scaling of the programme is foreseen in at least 10 other EU cities and planned in other cities and regions to become an established programme in Europe.

Keywords: energy poverty,just energy transition,financial mechanism
3D Photonic integration platform based on multilayer PolyBoard and TriPleX technology for optical switching and remote sensing and ranging applications (3PEAT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Italy,Israel,Germany,Greece,Greece,Netherlands
Call: Photonics KET 2017 (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2022-01-31
Duration (months): 49.0
Total project cost (EUR): 3993285.0
EU funding (EUR): 3993285.0
Participants: 9
Project status: CLOSED

3PEAT will develop a powerful photonic integration technology with all size, functionality and quality credentials in order to help a broad range of optical applications like optical switching and remote sensing, to achieve a strong commercial impact. In order to do so, the project will introduce a fully functional 3D photonic integration platform based on the use of multiple waveguiding layers and vertical couplers in a polymer technology (PolyBoard), as a means to disrupt the integration scale and functionality. Moreover, 3PEAT will combine this powerful 3D photonic technology with a silicon-nitride platform (TriPleX), via the development of a methodology for the deposition and processing of multilayer polymers inside etched windows on TriPleX chips. In parallel with the development of this hybrid 3D technology, 3PeaT will bring a number of key innovations at the integration and component level relating to: a) the heterogeneous integration of PZT films on TriPleX platform for development of phase shifters and switches for operation up to 50 MHz, b) the development of a disruptive external cavity laser on the same platform with linewidth less than 1 kHz, c) the development for the first time of an integrated circulator on PolyBoard with isolation more than 25 dB, and d) the development of flexible types of PolyBoards for the purpose of physical interconnection of other PICs. This enormous breadth of innovations can remove the current limitations and unleash the full potential of optical switching and remote sensing and ranging applications. The main switching module that will be fabricated will be a 36×36 optical switch with 20 ns switching time and possibility for power and cost savings of almost 95% compared to standard electronic solutions. The main sensing module on the other hand will be a disruptive Laser Doppler Vibrometer (LDV) with all of its optical units, including its optical beam scanning unit, integrated on a very large, hybrid 3D PIC.

Keywords: 3d photonic integration,hybrid integration,heterogeneous integration,laser doppler vibrometer,optical switching,lidar,optical polymers,silicon nitride
Characterisation method for spin-dependent processes in solar energy technology (SpinSolar)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-01
End date: 2019-10-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

In the search for renewable energy sources, solar energy shows great promise through its conversion to electricity and storable fuels using artificial photosynthesis. A detailed understanding of the energy conversion processes on the nanoscale is needed for the rational design and improvement of solar technology. This project is aimed at the development of a methodology for in-depth characterisation of spin-dependent processes in solar energy devices. The method will be based on a novel combination of pulse Electron Spin Resonance (ESR) and Electrically Detected Magnetic Resonance (EDMR) spectroscopy with arbitrarily shaped pulses. ESR by itself has already proven to be instrumental for advancing the understanding of natural photosynthesis and the increased sensitivity of EDMR allows the extension of this technique to assembled devices. The combination of both techniques and development of new pulse schemes based on arbitrarily shaped pulses will lead to significant advancements, enabling the simultaneous study of charge separation, charge transport and catalysis and their interdependence in fully assembled solar-to-fuel devices. The research will utilise cutting-edge instrumentation for simultaneous detection of magnetisation and photocurrent at FU Berlin. To fully exploit the advantages of this methodology, a theoretical description for the new experiments will be implemented in the widely used ESR simulation software EasySpin, providing a unified framework for the description of ESR and EDMR. The work on this project will serve to diversify the researcher’s competences and provide her with a broad skill set combining experimental and theoretical expertise, paving the way for an independent research career. The methodology developed for the characterisation of solar energy devices will provide new insights into artificial photosynthesis that will guide progress in solar technology with important implications for its commercialisation and industrial application.

Keywords: electron spin resonance,electrically detected magnetic resonance,artificial photosynthesis,thin film,solar cell,catalytic materials,arbitrary waveform generation,simulation,spin dynamics