Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Pathway Analysis of Treatments in Healthcare (PATH)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Greece
Call: ERA Fellowships (HORIZON-WIDERA-2024-TALENTS-02, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 197263.68
EU funding (EUR): 197263.68
Participants: 1
Project status: SIGNED

“What is the drug of choice for the given condition?” is the most important question raised by patients and clinicians at the point of care. The use of systematic reviews to answer this question, accompanied often with pairwise or network meta-analysis, ensures that decisions are informed by the best available evidence. However, in many healthcare areas we are moving towards the era of treatment pathways, in which not only a single treatment but a sequence of treatments can be the optimal choice for patients. Despite the important advances in methodology of evidence synthesis, treatment adaptations, such as modifying dose, switching, adding or discontinuing treatments are rarely informed by evidence. The overarching research aim of this project is to develop and test a framework for deriving the optimal treatment pathway. To this aim, I have set the following objectives: a) develop the statistical framework to compare alternative treatment pathways and b) evaluate the framework by developing methods to make it useful and applicable to clinical practice. I have devised the concept that treatment pathways can be seen as a combination of components, in which, however, sequence needs to be taken into account. As a first step, I will thus use component network meta-analysis. I will subsequently incorporate advances from clinical trials, dose-response, time-course models and prediction models, among others. I will develop PATH using as an example schizophrenia, where I will model treatment switching, increasing dose and/or adding treatment and will produce relative effects between all alternative treatment pathways. PATH will provide a much-needed methodological toolkit to healthcare practitioners, patients and policy makers, while it has the potential to have a profound impact on drug manufacturing; manufacturers can be informed by the position of similar drugs in the best treatment pathways, so that they can target their newly to be developed drugs accordingly.

Keywords: systematic reviews meta analysis evidence synthesis evidence based medicine network meta analysis
Transforming Boron Chemistry By Exploring Boryl Radical Reactivity (BETELGEUSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1999250.0
EU funding (EUR): 1999250.0
Participants: 1
Project status: SIGNED

Our ability to construct organic molecules is central to the wellbeing of our society. Boron-containing compounds are some of the most used tools to aid this. These materials are used as building blocks when “stitching” molecules together and also as catalysts in many different settings. The invention of innovative strategies to prepare and exploit borylated molecules is integral to discover and manufacture many products that we use daily. The overarching aim of this proposal is to innovate organic chemistry by inventing novel catalysis concepts based on the reactivity of boryl radicals, an underutilized class of reactive intermediates. My group has introduced a novel approach to generate these species from amine-borane precursors and here I aim to: 1. Establish a general platform to borylate aromatics using boryl radicals. This blueprint for C–B bond formation will introduce amine-borane functionalities instead of standard boronic acids/esters. This will provide unprecedented synthetic capacity because the amine-borane will serve a dual role acting first as directing group for ortho/meta functionalization and then cross-coupling handle. 2. Explore boryl radicals in innovative cascades reactions leading to the divergent assembly of sp3-rich fragments. These methods will expedite the preparation of poly-functionalized materials tapping into unexplored areas of chemical space. 3. Establish boryl radicals as “H-atom transfer” catalysts to achieve the “philicity umpolung” of nucleophilic radicals. This concept will introduce unprecedented retrosynthetic tactics and enable the merge of boryl radical reactivity with asymmetric organocatalysis. Overall, this cohesive and innovative research plan offers the unique opportunity to discover novel and exciting transformations that go far beyond what currently possible. Achieving this project will provide unprecedented tools for the preparation and the use of borylated materials in synthesis and catalysis.

Keywords: radical chemistry,borylation,photoredox catalysis,cross coupligs,synthetic chemistry,dual catalysis,asymmetric organocatalysis
Adia Thermal: smarter home heating for plug and play heat pump installations (ADIA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Natural gas currently dominates household heating in the EU with a 40% market share. To achieve the EU's ambitious climate goal of net-zero emissions by 2050, heat pumps present our best alternative. However, their adoption is impeded by lengthy, disruptive, and costly installation processes that require significant home modifications. Adia’s innovative clean technology is designed to reduce emissions, lower customer costs, and accelerate the adoption of renewable-powered heat pump technology. Our product, Adia Thermal, including the Adia Hub and smart flow balancing valves, integrates seamlessly with existing central heating systems that are typically incompatible with heat pumps. It analyses household heating setups to optimize performance and mitigate installation hurdles. The Adia “Heat Pump First” initiative harnesses Machine Learning (ML) combined with advanced physics modelling to optimize home thermal loss, employing innovative hardware and sensors. By automating and streamlining the installation process, our approach significantly reduces the heat pump installation process from several months to just 2-3 days, cutting costs by up to 70%. Given that most boilers are replaced under distress and typically last 10-20 years, each Adia Thermal installation can prevent up to 20 years of gas usage, equating to approximately 2.5 tonnes of CO2 emissions per year. Post-installation, Adia advises on targeted home improvements to further reduce energy bills by up to 30%, optimizing the return on investment for homeowners. Adia Thermal is at TRL5. We're seeking a grant of €2.5 million from the EIC to swiftly advance our technology to TRL8. The EIC funding will enable optimization of our AI/ML software to enhance predictive accuracy and system efficacy, testing of our solution in 100+ pilot homes to validate our product's performance across varied real-world conditions, and pilot installations pivotal for entering the commercial phase.
How do humans recognise kin? (KINSHIP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-10-01
End date: 2021-09-30
Duration (months): 72.0
Total project cost (EUR): 1984776.0
EU funding (EUR): 1984776.0
Participants: 1
Project status: CLOSED

Kinship moderates important social outcomes, such as interpersonal violence and sexual behaviour, but how do you know who your kin are? On the surface, this appears to be a simple question, but the specific cues and cognitive systems that mediate these complex relationships are yet to be understood. This pioneering project will combine biological theories regarding the essential role of kinship in regulating social and sexual behaviour with advanced methods from experimental psychology, genetics, acoustics, computer graphics and experimental economics, to develop and test the first comprehensive model of human kin recognition. Early research on human kin recognition typically investigated the effect of a single kinship cue on one domain of behaviour and in one relationship type. For example, research on the Westermarck Effect focusses on the effect of co-residence on sexual aversion among siblings. The proposed project will investigate a diverse range of potential kinship cues (e.g., contextual, phenotypic and cognitive), both relevant behavioural domains (i.e., prosocial and sexual), and several relationship types (e.g., primary and secondary; consanguine, affine and adoptive). The resulting model will allow for complex interactions, such as conditional or domain-specific cue use, that are suggested by work on kin recognition in other species. This, in turn, will allow for a greater understanding of the mechanisms underpinning how humans recognise and respond to kin. The project will also produce a quantitative model of how family resemblance is expressed in the face, which will be used to develop novel methodologies for assessing family resemblance from face images and experimentally creating realistic and biologically plausible “virtual relatives” using computer graphics.

Keywords: kin recognition,inclusive fitness,optimal outbreeding,family,kinship,altruism,incest avoidance,prosocial behaviour,sexual behaviour,3d computer graphics,facial resemblance
Directed Evolution of Enzyme for Applied Biocatalysis at Ultrahigh Throughput in Picoliter Droplets (TreasureDrop)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-05-01
End date: 2019-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Enzymes have established as a new class of catalysts in the field of modern synthetic chemistry and continue to gain in importance. Directed evolution is currently one of the most promising approaches aiming at enzymes with desired catalytic activities and it's potentially directly correlates with the library size that can be screened. One of the most powerful approaches to overcome these limitations is arguable the recently introduced microfluidic droplet technology; this methodology not only allows to quickly screen millions of clones in a cost effective manner, but is also broadly applicable since fluorometric as well as colorimetric assays can be used. Interestingly, even though numerous publication highlight its potential, an unambiguous evidence of its ability to provide synthetically relevant biocatalysts still needs to be furnished. In addition, access to this technology is currently limited to a few academic research groups and thus, this approach requires further implementation to evolve as an easily manageable lab routine in the near future. This project is designed to unite three competencies: i) the expertise of the Hollfelder Group in regarding micro-engineering and protein engineering in droplets, ii) the empirical knowledge of (bio)chemists at Johnson Matthey in view of economically successful industrial applications of biocatalysts and iii) the strong track record of the experienced researched to successfully solve problems at the biology/chemistry-interface. The objective of the project is to perform a proof-of-principle study by improving a well-known alcohol dehydrogenase for the selective desymmetrization of a meso-diol, thereby giving access to a synthetically sophisticated alcohol. In addition, the final aim is not only to obtain an improved mutant which allows to perform the selected biotransformation efficiently, but also a comparison of varying evolution paths differing in the criteria of hit selection between mutagenesis rounds.

Keywords: biocatalysis,green chemistry,enzyme,directed evolution,droplet microfluidics
Fibre Reinforced Concrete with Recycled and Waste Materials Optimised for Improved Sustainability of Urban Projects (GREEN-FRC)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-02-03
End date: 2022-02-02
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

Reinforced doncrete urban infrastructure poses significant, insufficiently addressed, environmental challenges due to impacts from cement, natural aggregate and steel reinforcement production. This proposal focuses on integrating fibre reinforced concrete (FRC) with “green” concretes produced with waste and recycled materials. The large scatter of current FRC characterisation tests leads to conservative structural design and the incomplete understanding of waste and recycled materials’ effects on “green” concrete properties leads to quality control challenges. As a result, existing standards and design codes are not comprehensive and the market uptake of these concretes is low. This action proposes a synergy of FRC and “green” concretes to achieve fully sustainable urban infrastructure. The action will develop and optimise structural-grade “green” FRC (G-FRC) with different recycled and waste materials for maximising sustainability; develop novel G-FRC characterisation tests with reduced result scatter; formulate performance-based indicators for recycled and waste materials used in G-FRC to facilitate quality control; and develop design guidelines for G-FRC structures with full-scale structural test verification and in-situ application, within 24 months of project duration. The expertise of the experienced researcher (ER), Dr. Nikola Tošić, and the supervisor, Dr. Alberto de la Fuente Antequera, are fully complementary and will enable them to develop novel research techniques through a two-way knowledge transfer and comprehensive training activities for the ER. The project will engage Smart Engineering Ltd for industrial application of project results. Comprehensive dissemination and communication measures focusing on different target audiences are formulated. A carefully thought through and detailed work plan, resource use, and contingency measures for risk mitigation have been developed to ensure a smooth and timely project implementation with maximised impact.

Keywords: concrete,concrete structures,structural design,reliability,urban infrastructure,recycling,waste,fibre reinforced concrete,optimisation,multi criteria decision making
Identification of scientific contents in the daily life (LifeisScience)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Austria
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020, 2020)
Start date: 2020-06-01
End date: 2020-12-31
Duration (months): 7.0
Total project cost (EUR): 91862.5
EU funding (EUR): 91862.5
Participants: 1
Project status: CLOSED

acib is planning an open event for the young general public in the frame of the European Researchers’ Night in Austria. Under the roof LifeisScience the visitors gain insights into the every-day work of researchers in the manifold fields of biotechnology and related disciplines as well as its impact to our daily life. LifeisScience offers to discover scientific contents along three dedicated story lines by visiting laboratories, contributing in experiments, interrogating scientists about buzzling questions, exchanging ideas in debates, participating in open innovation science, watching demonstrations and learning more on recent scientific discoveries. The story lines are food technology, waste management & renewable resources and health. The different activities intend to allow visitors to identify connections between research and our daily life. The principle of collecting stamps for each activity and receiving a gift for absolved story lines aims to drive visitor’s motivation and, thereby, some may discover their passion for science and their preference for a research career.

Keywords: life sciences,science communication,biotechnology,mint disciplines,citizen science,open innovation,game based learning
Innovative weight and balance measurement system for Tiltrotor application (WEIBAL)

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: Spain,Spain
Call: Innovative weight measurement system for Tilt Rotor application (H2020-CS2-CFP10-2019-01, 2019)
Start date: 2020-10-01
End date: 2023-05-31
Duration (months): 32.0
Total project cost (EUR): 873954.88
EU funding (EUR): 799714.29
Participants: 2
Project status: SIGNED

The WEIBAL project aims at developing a complete measurement system able to detect the 3D position of the Centre of Gravity (CoG) of the plane in different configurations on ground. This will be done through the development of four subsystems: the scales, an elevation platform for the front wheel, a system to measure the relative position of the scales and the measurement of the pressure footprint in the scales. This will be complemented with an analysis of uncertainties to control and minimize the measuring error, both in the mass and in the relative positions of the scales. The achievement of this main objective is complemented with four specific objectives for the innovation activities driving to its development. These specific objectives are related to the development of the different subsystems needed for the WEIBAL measurement system, including the measurement footboards, the distance measurement systems, the actuation system to modify the configuration of the system and an additional system to monitor the load application point in each footboard, i.e. the footprint.

Keywords: sensor,weight,balance,force,aircraft
Managing active and healthy aging with use of caring service robots (MARIO)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Italy,Ireland,Greece,France,United Kingdom,United Kingdom,United Kingdom
Call: Advancing active and healthy ageing with ICT: service robotics within assisted living environments (H2020-PHC-2014-single-stage, 2014)
Start date: 2015-02-01
End date: 2018-01-31
Duration (months): 36.0
Total project cost (EUR): 3994857.0
EU funding (EUR): 3994857.0
Participants: 10
Project status: CLOSED

MARIO addresses the difficult challenges of loneliness, isolation and dementia in older persons through innovative and multi-faceted inventions delivered by service robots. The effects of these conditions are severe and life-limiting. They burden individuals and societal support systems. Human intervention is costly but the severity can be prevented and/or mitigated by simple changes in self-perception and brain stimulation mediated by robots. The proposal is coordinated by the nursing unit of NUI, involves managers of the City of Stockport developing social care and community support programs to older persons, and also involves an important hospital in Italy pushing research boundaries in comprehensive geriatric assessment. Pilot activities and interaction with caregivers, older persons and stakeholders (within a standards based medical assessment methodology) is present from beginning to finish and provides a user led design ethos. The proposal brings together the well-known Kompai platform and commercial footprint of ROBOSOFT, control expertise of RURobots, advances from the computer laboratory at CNR, and an innovative robot application development platform by Ortellio. Dedicated telecommunication (CNET) and exploitation experts (R2M) widen technical and market outreach potential. From this unique combination, clear advances are made in the use of semantic data analytics, personal interaction, and unique applications tailored to better connect older persons to their care providers, community, own social circle and also to their personal interests. Each objective is developed with a focus on loneliness, isolation and dementia. The impact centres on deep progress toward EU scientific and market leadership in service robots and a user driven solution for this major societal challenge. The competitive advantage is the ability to treat tough challenges appropriately. The path to market deployment by bringing Mario solutions to end users is clearly developed.

Keywords: elderly care assistive robot,dementia loneliness social network,in clinic at home large scale validation,user led iterative development,geriatric assessment,ambient sensors,semantic analysis