Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Frequency protector generator for honeybees (FOG)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Slovakia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-01-01
End date: 2019-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There are 630,000 beekeepers in the EU, keeping about 16 million hives. These beekeepers are responsible for securing the regional pollination services and contribute to the social development of rural areas. Their challenge is keeping healthy bees even with the numerous stress factors, diseases, and parasites that honey bees are exposed to. Varroa destructor (formerly known as Varroa jacobsoni) is considered the most harmful honeybee parasite on a global scale and it is a real global epidemic. The initial solution therefore could be honey import. The Union imports about 200,000 tonnes of honey every year, mainly from China, Ukraine, Argentina and Mexico. But by testing it was found that 20% of the samples taken at the external borders of the Union did not comply with EU standards. That is why the bee protection is the most important challenge for European beekeeping at present. The basis of the technical solution in software of the controller which controls the status of outdoor parameters like temperature, vibration, working mode, luminosity, etc. The controller program will send the results of the assessment of these parameters to frequency generator module with the information about frequency range, timing of electric, acoustic and vibration signals. The signal is transmitted to agricultural plants, animals, soil etc. Such generated signal has a special characteristics for destruction of parasites, mold and other diseases. The innovation – frequency protector generator (“FOG”) is safe to bees, environmentally friendly, 99% effective. The patent application was submitted in 2017.

Keywords: honeybees protection
Creating medically-driven integrative bioinformatics applications focused on oncology, CNS disorders and their comorbidities (MedBioinformatics) (MedBioinformatics)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Finland,Denmark,United Kingdom,Portugal
Call: Advancing bioinformatics to meet biomedical and clinical needs (H2020-PHC-2014-two-stage, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 3463481.25
EU funding (EUR): 3463481.0
Participants: 10
Project status: CLOSED

Progress in biomedical research and healthcare requires profiting from the huge amount of data and knowledge that are generated. However, most of the potential users have no means to efficiently exploit this wealth of information. Up to now, many of the efforts done for developing bioinformatics methods and applications have not produced the expected societal impact for different reasons, including: 1) the deficit of integrative approaches that effectively combine different types of data from different sources; and 2) the lack of active involvement of the potential users (from experimental scientists to healthcare professionals) in the process of creating applications that mine, integrate, analyse and display biomedical information in a way that is immediately understandable and useful ('actionable') by the end users. The present project tries to overcome this issue by involving a multidisciplinary team of experienced bioinformaticians, and experimental and clinical scientists in the design and development of demanded bioinformatics applications. The bioinformaticians will develop medical-oriented integrative methods and applications (New Generation Genotype-Phenotype Explorations, Disease Biomarker Browser, Disease Trajectory Comorbidity Browser, Cancer Genome Interpreter, etc.), while the experimental and clinical partners will actively participate in the design and assessment of the applications, as well as in the curation of customized resources. The experimental and clinical partners belong to two completely different medical specialties (oncology and psychiatry), which have a big impact in citizens’ wellbeing. Moreover, the commonalities existing between the needs of these disparate specialties will facilitate the identification and design of applications likely to satisfy the needs of biomedical professionals in other areas. Finally, the project aims to setup a platform for the sustainable exploitation of the tools developed throughout its execution.

Keywords: integrative bioinformatics,translational bioinformatics,biomedical informatics,cancer bioinformatics,systems medicine,gwas,genotype phenotype analysis,oncology,psychiatry,comorbidity
Photoswitchable amphiphilic lipids: a photopharmacology strategy to combat drug-resistant bacterial infections. (PhotoLiB)

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,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 2
Project status: SIGNED

Antimicrobials have saved millions of lives since they were first discovered. Unfortunately, today the world is facing up a global antibiotic resistance health emergency. In fact, bacterial infections which have been susceptible to standard antibiotic regimes for decades are now becoming resistant to all major antimicrobial treatments, making their efficacy undermined. Within this context, this proposal aims to develop a new and original strategy to combat antimicrobial resistance. Photopharmacology is a novel and emerging medical approach which exploits light to modulate the activity of drugs. The energy of light, which is not toxic to humans and easily delivered with high precision, can be used to change, at will, the conformation and chemical properties of drugs, making them more selective and efficient. This project wants to apply the photopharmacology concept to amphiphilic lipid drugs, namely those molecules bearing a polar head and a lipid tail acting as antimicrobials through disruption of bacterial membranes. Since, unlike other proteins and enzymes, membranes cannot mutate, they are ideal targets to combat antimicrobial resistance. New Photoswitchable Amphiphilic Lipis (PALs), able to intercalate the bacterial membranes, will be developed and synthesised by inserting a photoactivable probe into a amphiphilic lipid. Upon light irradiation, these PALs will change conformation leading, selectively, to membrane damage and consequent cell death. A set of 20 PALs will be synthesised and the compounds will be evaluated against a panel of bacteria, alone or in synergistic combination with other antibiotics. Preliminary in-vivo studies on Galleria models will be carried out as well as NMR-metabolomic studies to elucidate the key interactions of PALs with living systems and the response of bacteria to the action of these new drugs. The data generated through this project will create new means and opportunities in the fight against bacterial resistance.

Keywords: photopharmacology,antimicrobial resistance,antibacterials,drug discovery,nmrmetabolomic
Understanding the neural mechanisms of multisensory perception based on computational principles (DynaSens)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Germany,United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-11-01
End date: 2020-10-31
Duration (months): 60.0
Total project cost (EUR): 1909441.0
EU funding (EUR): 1413958.75
Participants: 2
Project status: CLOSED

The brain’s multisensory faculty provides considerable benefits for perception, as the adaptive weighting of multiple inputs increases perceptual reliability and flexibility. However, failure of this process results in an impoverished percept, and links to perceptual deficits that occur along our life span and in disorders such as Autism. While the brain efficiently handles multiple sensory inputs, we still have a limited understanding of the underlying neural mechanisms. To advance our knowledge of how the brain processes its environment I propose a pioneering agenda that departs from previous descriptive work by linking the underlying brain mechanisms with specific multisensory computations and perception. Precisely, I propose a programme that combines computational models of multisensory interactions with high-density neuroimaging and perceptual tasks. This interdisciplinary research builds on my pioneering multisensory work but will provide a qualitatively new and principled understanding of the neural processes that implement the well-known perceptual benefits of multisensory information. The proposed programme advances our knowledge by addressing the following timely questions: What are the neural processes transforming multiple sensory inputs to a unified representation guiding behaviour? How does the brain control the dynamic weighting of multiple inputs and assigns these to either a single or multiple causes? Which perceptual and neural processes are affected in the multisensory deficits seen in autistic individuals or the elderly? This agenda, by its innovative methods and deliverables, will offer a principled and comprehensive understanding of how the brain handles and merges multiple sensory inputs, and provides a framework for addressing continuing and pressing problems associated with multisensory processing deficits seen in cognitive disorders and during our life span.

Keywords: multisensory perception,cross modal,neuroimaging
Monotonicity in Logic and Complexity (MiLC)

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: Mathematics
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

MiLC will develop logical characterisations of monotone complexity classes, yielding languages and systems which are machine-independent and well suited for reasoning over such classes of functions. Monotone Boolean functions abound in the theory of computation, e.g. in sorting algorithms and clique detection in graphs, and nonuniform classes of monotone functions have been well studied in computational complexity under the lens of monotone circuits. From the point of view of computation, monotone functions are computed by algorithms not using negation, and this will lead to several recursion-theoretic characterisations of feasible classes such as monotone P, NCi, ACi and the polynomial hierarchy. The main purpose of MiLC will be to capture these classes proof theoretically, by calibrating each class with the formally representable functions of a certain theory. MiLC will work in the setting of Bounded Arithmetic since its techniques are well suited to handling monotonicity, building on recently discovered correspondences with monotone proof complexity. To this end two avenues for controlling monotonicity will be investigated: (a) restricting negation in proofs, inducing monotone witnessing invariants, and (b) restricting structural rules of the underlying logic to eliminate the nonmonotone cases of witness extraction. The aim is to arrive at modular characterisations, where monotonicity of a represented class is switched on or off by the inclusion or exclusion, respectively, of certain structural rules. Finally MiLC will calibrate these theories with well studied systems in proof complexity, namely monotone, intuitionistic and deep inference systems, under the usual correspondence between theories of Bounded Arithmetic and systems of propositional logic. These tight correspondences ensure that the tools developed in MiLC may be employed to attack certain open problems in the area, reformulating and improving existing bounds.

Keywords: monotonicity,logic,computational complexity,proof theory,implicit complexity,bounded arithmetic,witnessing,realizability,intuitionistic logic,linear logic,proof complexity,recursion theory
The world’s first automated laximetry device that replicates daily movements and activities through a dynamic test. (Dyneelax)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2019-11-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The knee is the largest, and one of the most complex and fragile joints in the human body, and the anterior cruciate ligament (ACL) is one of its core components. The ACL is vital to healthy knee function, stabilising the joint throughout its range of motion. In order to diagnose ACL injuries, the current gold standard is the Lachman’s test, which measures the ‘laxity’ (looseness) of the ligaments in the knee. Often done by hand, this is a reliable process when carried out by a specialist such as an orthopaedist. In contrast, general practitioners (GPs) and other non-specialists require x-ray or magnetic resonance imaging (MRI) exams to confirm their diagnosis. However, waiting periods for mechanised tests in the EU are long, sometimes entirely unpredictable, due to limited equipment availability and the need to prioritise emergency cases. To overcome this, Genourob has developed Dyneelax, which is the first medical device for automated dynamic laximetry measurement. Dyneelax carries out objective and reproducible Lachman’s tests and rotational exams to assess the laximetry of the ACL. Automation and standardisation of this non-invasive, quantitative testing allows the diagnosis and prognosis of ACL injury and recovery status. It is independent of examinations such as x-ray and MRI scans and it can be used also by non-specialists such as GPs. This means quicker, more effective treatment for better recovery of patients. At Genourob our mission is to transform the clinical protocol for diagnosing and prognosis of ACL injuries. In this way, GPs would be patients’ main point of contact with the healthcare system, replacing the need to wait for an MRI scan or x-ray for ACL injuries’ treatment. The SME Instrument grant is ideal for completing our product roadmap as it will enable our post-market surveillance to be carried out, to allow us to make the clinical claim that Dyneelax is an effective substitute for MRI scans in diagnosing and evaluating injuries to the ACL

Keywords: knee,acl injury,laximetry,lachman s test,general practitioner
Ecological and Evolutionary Importance of Molecular Diversity in Dissolved Organic Matter (sEEIngDOM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2025-01-31
Duration (months): 72.0
Total project cost (EUR): 1499169.0
EU funding (EUR): 1499169.0
Participants: 1
Project status: SUSPENDED

Dissolved organic matter (DOM) is central to the functioning of freshwater ecosystems that support life on Earth. For example, DOM has a major role in global carbon (C) cycling by helping to bury four times more C in the bottom of lakes and rivers than across all of the world’s oceans. DOM also majorly influences the growth of aquatic organisms and impedes drinking water treatment for millions of people, such as by increasing microbial growth. Yet, despite its importance, DOM remains poorly understood because it has been measured with little resolution for nearly 200 years. Recent technological advances have now shown that a handful of lake water can contain thousands of different molecules of varying origin and composition. But the role of all these different molecules in aquatic ecosystems largely remains a mystery. This project will discover the importance of the tremendous diversity of molecules – termed chemodiversity – found in DOM for lake functioning and human wellbeing. It will do so by combining cutting-edge techniques in analytical chemistry, genomics, and statistical modelling with careful lab-based studies, proven field experiments, and large-scale observational surveys. By thinking about species of molecules as we would species of organisms, this project will draw upon rich theory and methods developed for the study of biodiversity. The work will allow us to learn how variation in chemodiversity across lakes is driven by associations with different microbes and how these microbes reciprocally adapt and evolve to different DOM. In the process, we will improve predictions of how important functions and services provided by lakes, such as C cycling and drinking water, vary with chemodiversity. An exciting application of this work is to improve emerging technologies for water purification by identifying microbial consortia that can consume chemodiversity and make water clearer.

Keywords: lakes,limnology,biodiversity,ecosystem functioning,geochemistry,species interactions,environmental biology,carbon cycling,organic matter,biogeography,metabolomics,metagenomics
Scalable Production and Integration of Graphene (SPRING)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2023-09-30
Duration (months): 48.0
Total project cost (EUR): 3502500.0
EU funding (EUR): 2451750.0
Participants: 1
Project status: SIGNED

The global economy depends on semiconductor devices – electronic chips – in everything from smartphones to cars, the internet to lifesaving medical equipment. This market has been driven by an exponential increase in capacity achieved through miniaturisation, now reaching its physical limits. Graphene, a one-atom thick carbon layer is seen as having the greatest potential for semiconductor improvements. However, the adoption of graphene is impeded because there is no production and transfer technology which delivers high quality graphene and is suitable for large scale production processes. Applied Nanolayers (ANL) - founded in 2012 by seasoned industry professionals & material scientists from Leiden University - is unique in developing the technology to produce and exploit quality graphene on an industrial scale. Large tool vendors, supplying tools that enable semiconductor companies to get maximum performance from the current silicon technology, have not built growth and transfer tools for graphene. Therefore, in addition to developing a production methodology, ANL has built its own tools, using existing tool platforms. This means that the ANL processes can be seamlessly integrated into mainstream industry fabrication partners. ANL has a proven automated growth process as well as a dry transfer process (TRL6). The latter is not yet fully automated. ANL’s Delft foundry location with access to the facilities of the TU Delft EKL Laboratory and world class material scientists enables ANL to propose an innovative industrial foundry service for graphene. With the SPRING project, ANL aims to scale-up and automate its 2D material foundry technology, bringing it to the commercialisation stage (TRL9). Within 5 years from the project ending, ANL expects to obtain revenues of €54m and an EBIT of nearly €9m. ANL’s mission is to be the leading global foundry for integrating 2D materials in the designated markets.

Keywords: graphene,2d materials,process engineering,nanotechnology
AI on-demand platform for regional interoperable Digital Innovation Hubs Network (DIH4AI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Italy,Germany,Spain,Italy,France,France,Czechia,Netherlands
Call: Artificial Intelligence on demand platform (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 5488450.0
EU funding (EUR): 4999862.5
Participants: 14
Project status: SIGNED

In 2019, SMEs accounted for 99.8% of all enterprises in the EU-28 non-financial business sector and accounted for the majority of the increase in value added (60%) – EU Annual Report on SMEs, (November 2019). In the last years, the EC acknowledged that a number of areas require immediate action at EU level to ensure that: (1) SMEs will increase Europe’s competitiveness in the AI landscape leaving no SME behind (2) New technologies and AI-based product, processes and services are based on European ethical values (3) SMEs get fast, trusted and secure links to data assets, AI methods and tools that can be used expediently and build on digital sovereignty. DIHs (Digital Innovation Hubs) are a fundamental European instrument that has emerged over the last decade to address these limitations and encourage the uptake of AI across the economy. We simply need to establish the most needed link between the DIH engine and the AI4EU service platform power to ignite a virtuous cross-sectorial European economy of intelligence for SMEs at scale; precisely the SME-friendly AI vision that DIH4AI aims at fulfilling. The DIH4AI project aims at building a network of AI-on-demand innovation and collaboration platforms, supporting joint development and provision of ecosystem-business-technology-transformation services through a sustainable network of regional DIHs specialized in AI and targeting local SMEs and local tech governmental agencies. The DIH4AI regional platforms are by design interoperable with the pan-EU AI4EU platform thanks to an interoperability framework operating at Portal, Data and Cloud levels, allowing SME-DIH-EU virtuous bi-directional collaborations at the level of shared AI resources, AI-oriented standard data models and ontologies, AI ready FAIR datasets, AI-driven user interaction and services (SAAS) and AI-compatible advanced computation facilities (PAAS and IAAS).

Keywords: digital innovation hubs,regional european innovation and collaboration,ai4eu platform