Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Lewis acid promoted copper catalysis to functionalise and dearomatise arenes (LACOPAROM)

Framework: Horizon 2020 — 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: Netherlands
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2024-11-30
Duration (months): 75.0
Total project cost (EUR): 1999398.0
EU funding (EUR): 1999398.0
Participants: 1
Project status: SIGNED

Aromatic compounds are cheap and readily available, making them ideal starting materials for the synthesis of chiral alicyclic compounds, important synthetic building blocks for both natural product synthesis and drug discovery. However, general strategies for efficient, catalytic dearomatisation of aromatics are lacking. This proposal aims to fill this gap by developing general asymmetric methods for dearomatisation reactions of both electron-rich and electron-deficient aromatics. It relies on an innovative approach based on LA activation of the arenes, followed by copper catalyzed carbon-carbon bond forming reactions, with a special focus on environmentally benign and cost-effective processes. To achieve the overall aim of the proposed project, the research program is composed of four distinct but complementary research lines aiming at catalytic asymmetric dearomatisation/carbon-carbon bond forming reactions using: - Electron-deficient carbonyl substituted arenes - Pyridines and other N-containing heteroarenes - Phenols and anilines and fused analogues - Benzylic aromatic systems The remarkable and novel feature of this strategy is that it enables for the first time selective catalytic asymmetric dearomatisations of various classes of aromatic substrates following a general, unified concept. Furthermore, since sequential bond constructions take place in a single synthetic operation, a rapid increase of molecular complexity can be achieved at greatly reduced cost and increased atom-efficiency, thereby contributing to a more sustainable future. Consequently, there is huge potential for this strategy to become an invaluable instrument to access a wide variety of chiral carbocyclic compounds and I anticipate it will have a significant impact in the field of organic synthesis.
Revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography (REAP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Spain,Italy,Germany,Austria,Germany,Finland,Netherlands
Call: Disruptive photonics technologies (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 6185978.75
EU funding (EUR): 6185978.75
Participants: 9
Project status: SIGNED

Cancer treatment faces a major problem: it ultimately stops working for many patients because the tumor becomes resistant. The cellular origin of relapse is often linked to drug tolerant persister (DTP) cells, which survive treatment and can remain for years. Because of their scarcity and heterogeneity, the detection of DTP cells remains a technological challenge of enormous clinical importance. The objective of REAP is to develop two next generation multimodal imaging systems to reveal DTPs. A triple modal two-photon laser scanning optical coherence photoacoustic microscopy system will be built for the in vitro characterization of cancer organoids. Additionally, a dual-modality optical coherence photoacoustic tomography system will be implemented to visualize tumors in vivo in a mouse model. To enable greatly increased sensitivity and specificity, a new type of contrast agent based on biofunctionalized nanoparticles with tailor-made optical properties will be fabricated to specifically label DTPs. For improved imaging performance, several further technological advancements are targeted. Photoacoustic excitation will be realized using innovative microchip lasers addressing the needs for high-energy pulses, high-repetition rate, and multi-wavelength emission. To achieve the required resolution, novel photoacoustic detectors based on integrated optical micro-ring resonator technology will be developed with the potential to completely replace conventional piezoelectric ultrasound transducers. Furthermore, image acquisition speed will be increased by an order of magnitude with the help of an innovative laser source based on photonic integrated circuits at 780 nm. Finally, real-time data handling will be explored along with deep learning-based automatic analysis algorithms. The combined innovation in laser sources, detector technology, nanoparticles, and deep learning-based algorithms will create radically new imaging solutions reaching numerous applications.

Keywords: optical coherence tomography,photoacoustic imaging,biophotonics,biomedical optics
AI-based chest CT analysis enabling rapid COVID diagnosis and prognosis (icovid)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Action type: Innovation actions
Countries involved: Germany,Belgium,Belgium,Belgium,Netherlands,United Kingdom,United Kingdom
Call: Medical technologies, Digital tools and Artificial Intelligence (AI) analytics to improve surveillance and care at high Technology Readiness Levels (TRL) (H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT, 2020)
Start date: 2020-09-01
End date: 2023-02-28
Duration (months): 30.0
Total project cost (EUR): 3566972.5
EU funding (EUR): 3172690.0
Participants: 10
Project status: CLOSED

This icovid project is the continuation of the pro bono icovid initiative that developed the CE-marked and FDA permitted AI-based CT analysis software, icolung, and made it available in over 65 hospitals worldwide. The icovid project aims to improve the software making it of greater value as the clinical needs evolve, validating it in renowned academic centers and deploying it at large-scale across Europe. icolung is expected to have a significant societal impact by increasing confidence when making a CT diagnosis and providing accurate quantification of disease and prognostic information in patients with suspected COVID-19 disease. Importantly, even in a low prevalence setting icolung may have a much higher sensitivity and a comparable specificity for the diagnosis compared to the RT-PCR testing used currently. Identifying infected patients earlier will reduce the risk of further contamination and allows the right patient management to start earlier. icolung also predicts the risk of developing severe COVID-19 disease for which ICU admission and mechanical ventilation are required, allowing optimization of patient care. This project will significantly strengthen the position of two European SMEs in the rapidly growing market of AI in healthcare. One of them is coordinating the project and the consortium involved, enabling quick responses in a rapidly changing environment. The consortium builds further on existing organic collaboration and contains world-renowned experts of which multiple are part of the Executive Committee of the European Society of Thoracic Imaging.

Keywords: covid 19,icolung,imaging ai,deep learning,diagnostis,prognosis,computed tomography
save@work - The Energy Saving Contest for Public Authorities (Save at Work)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Market uptake of energy innovation
Action type: Coordination and support actions
Countries involved: Italy,Austria,Germany,Belgium,Hungary,Sweden,Latvia,France,United Kingdom
Call: Consumer engagement for sustainable energy (H2020-EE-2014-3-MarketUptake, 2014)
Start date: 2015-02-01
End date: 2017-09-30
Duration (months): 32.0
Total project cost (EUR): 1408990.0
EU funding (EUR): 1408990.0
Participants: 9
Project status: CLOSED

save@work focusses on overcoming the barriers to energy saving practices in public office buildings and changing the behaviour of public sector employees at work place. A minimum of 9000 employees in at least 180 public office buildings (administrative buildings - municipal/regional or federal state operated) from nine countries will compete in a year-long energy saving contest to achieve the highest energy savings possible compared to the previous year. Throughout the competition participants will benefit from expert knowledge provided by the partners; a web-based Energy Saving Online Tool (feedback system) which helps to visualise actual energy consumption and savings made by each building; tailor made information and campaign materials and the exchange of experience with other participants. The energy saving competition between public office buildings is embedded in an energy quality management system: Analysis – Development of Measures – Implementation – Monitoring and Continuation, which ensures an individual, professional goal-oriented and sustainable approach for realising energy savings. It is projected that the project will lead to 13 GWh primary energy saved and 3,100 t of CO2 avoided in public buildings across Europe. Support from behavioural change experts and an accompanying evaluation of the implemented measures and results will help provide important insights useful for both project implementation as well as future initiatives in this field. Factors of success, barriers and the impact of the project in respect to mid- and long-term changes will be analysed. Project activities and results will be disseminated through a wide communication campaign to the public, as well as other stakeholders in public administrations and academic institutions. By providing a complete set of strategies and materials needed to replicate this project, our goal is to inspire others to follow our lead and develop energy efficient offices of the future.

Keywords: public office buildings,behavioral change,energy efficient behavior,energy audits,feedback system,energy saving contest
Safe Cooperating Cyber-Physical Systems using Wireless Communication (SafeCOP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Research and Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Italy,Italy,Italy,Italy,Italy,Italy,Italy,Sweden,Sweden,Norway,Finland,Finland,Norway,Sweden,Denmark,Portugal,Portugal,Denmark,Denmark,Portugal
Call: Cyber-physical Systems (H2020-ECSEL-2015-1-RIA-two-stage, 2015)
Start date: 2016-04-01
End date: 2019-06-30
Duration (months): 39.0
Total project cost (EUR): 11513398.19
EU funding (EUR): 3777298.0
Participants: 33
Project status: CLOSED

SafeCOP (Safe Cooperating Cyber-Physical Systems using Wireless Communication) will establish a safety assurance approach, a platform architecture, and tools for cost-efficient and practical certification of cooperating cyber-physical systems (CO-CPS). SafeCOP targets safety-related CO-CPS characterized by use of wireless communication, multiple stakeholders, dynamic system definitions, and unpredictable operating environments. In this scenario, no single stakeholder has the overall responsibility over the resulted system-of-systems; safe cooperation relies on the wireless communication; and security and privacy are important concerns. Although such CO-CPS can successfully address several societal challenges, and can lead to new applications and new markets, their certification and development is not adequately addressed by existing practices. SafeCOP will provide an approach to the safety assurance of CO-CPS, enabling thus their certification and development. The project will define a platform architecture and will develop methods and tools, which will be used to produce safety assurance evidence needed to certify cooperative functions. SafeCOP will extend current wireless technologies to ensure safe and secure cooperation. SafeCOP will also contribute to new standards and regulations, by providing certification authorities and standardization committees with the scientifically validated solutions needed to craft effective standards extended to also address cooperation and system-of-systems issues. SafeCOP brings clear benefits in terms of cross-domain certification practice and implementations of cooperating systems in all addressed areas: automotive, maritime, healthcare and robotics. The advantages include lower certification costs, increased trustworthiness of wireless communication, better management of increasing complexity, reduced effort for verification and validation, lower total system costs, shorter time to market and increased market share.

Keywords: safety critical systems,cyber physical systems,systems of systems,safety assurance,certification,wireless communication,methods and tools,adaptive open cooperating systems
Increasing the robustness and neural integration of bidirectional prostheses for rehabilitation with robust and real time Independent Component Analysis (BIREHAB)

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: Switzerland
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): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that are naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user’s intentions and the delivery of nearly “natural” sensory feedback through remnant afferent pathways, simultaneously and in real time. As such, much effort in the last decade has been directed towards the achievement of both the robust performance necessary for natural prosthesis control and the sensory feedback integration. Despite this however, researchers have struggled so far to translate their findings to clinical and commercial applications, as it is necessary first to develop robust multifunctional myoelectric control algorithms and to characterize the neurophysiological responses elicited by artificial sensory feedback. The first aim of BIREHAB is to characterize the cortical activity evoked by neuromorphic electrical stimulations of the median and ulnar nerve in amputees and compare it with healthy subjects’s undergoing the same protocl. The second aim is to develop a new blind source separation algorithm (Independent Component Analysis) for the robust extraction of muscle synergies and Motor Unit Action Potentials from high density surface electromyogram. ICA will also be useful to overcome the current issues that impair the efficacy of myoelectric prostheses control, such as electrodes cross talk and volume conduction. The implementation of BIREHAB has the potential to aid in the personalization of post-stroke rehabilitation protocols, and to improve the long term efficacy, quality and neural integration of hand prostheses. These results may enable, in the near future, near-natural replacement of missing hands and will help devise new upper limb rehabilitation strategies.

Keywords: electroencephalography,electromyography,semg,muscle synergies,independent component analysis,myoelectric control,source localization,blind source separation
RV001: An anti-metastatic cancer vaccine (RV001)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2022-09-30
Duration (months): 36.0
Total project cost (EUR): 5273880.0
EU funding (EUR): 2499900.0
Participants: 1
Project status: CLOSED

Prostate cancer is the most commonly diagnosed cancer in men, with 1.7M new cases and 0.5M deaths anticipated by 2030 worldwide. Although metastases are responsible in 90% of cancer deaths, in today’s standard treatment there is no active therapy after removal of primary tumor to prevent metastasis formation. 40% of patients experience relapse of cancer in the first 2 years after surgery. The existing treatments focusing on later stages, do not prevent the initial spread of metastatic cells and cause numerous undesirable side effects. Late stage immunotherapies against metastatic cancer also present major drawbacks, including high costs and adverse events. So, there is a critical unmet need for a therapy that can effectively prevent metastasis formation in early stage prostate cancer. RhoVac aims to address this need by developing the first therapeutic vaccine against early stage metastases in prostate cancer – RV001 – which could revolutionize the treatment of metastatic cancer. Through the activation of the patient’s own immune system, RhoVac projects that RV001 will induce the specific elimination of metastatic cancer cells with unprecedented levels of safety, tolerability and biological activity, proven with the successful conclusion of a Phase I/II clinical trial in 2018. RhoVac aims to develop the RV001 vaccine up to completion of a Phase IIb clinical trial (key objective of the present project), following which the company plans to out-license the vaccine to a large Pharma, with conservatively predicted revenues of ca. €1B, within 5 years of vaccine launch. Due to its mechanism, RV001 could potentially be used against all metastatic cancer types. RhoVac will seek to validate this exploratively in parallel with the prostate cancer project. In short, our aim to introduce “metastatic prevention” as new paradigm in cancer treatment, rather than relying on the frequently ineffective treatment of metastases that have already formed.

Keywords: metastatic cancer,prostate cancer,immunotherapy,therapeutic vaccine
Creating building blocks for atomic-scale electronics (ATRONICS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Norway
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-09-01
End date: 2026-02-28
Duration (months): 66.0
Total project cost (EUR): 1845338.0
EU funding (EUR): 1845338.0
Participants: 1
Project status: SIGNED

Interfaces in oxide materials offer amazing opportunities for fundamental and applied research, giving a new dimension to functional properties, such as magnetism, multiferroicity and superconductivity. Ferroelectric domain walls recently emerged as a new type of interface, where the dynamic characteristics of ferroelectricity introduce the element of spatial mobility, allowing for the real-time adjustment of position, density and orientation of the walls. This mobility adds an additional degree of flexibility that enables domain walls to take an active role in future devices and hold great potential as functional 2D systems for electronics. Up to now, application concepts rely on injecting and deleting domain walls in micrometer-size devices to control electric conductivity. While this approach achieves a step beyond conventional interfaces by utilizing the wall mobility, it does not break the mould of classical device architectures. Completely new strategies are required to functionalize the versatile electronic properties and atomic-scale feature size of ferroelectric domain walls. ATRONICS will establish a new conceptual approach for developing domain-wall-based technology. At the length scale of only a few atoms, we will use individual walls in improper ferroelectrics to emulate key electronic components such as diodes, transistors and logic gates. Crucially, as the functionality of the components is intrinsic to the domain walls, the walls themselves are the devices, instead of the previous approach of writing and erasing domain walls within a much larger classical device architecture. Beyond demonstrating individual devices, we will integrate multiple domain-wall devices, and develop quasi-2D circuitry and networks with a higher order of complexity then is currently achievable. ATRONICS will represent a major advancement in 2D functional materials for future technologies and play an essential role in the transition from nano- to atomic-scale electronics.

Keywords: functional oxides,ferroelectrics,domain wall nanoelectronics
SERENITY-X – Accelerating AI (SERENITY-X)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: United Kingdom
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-02-01
End date: 2023-01-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The ERC frontier project ADG-670406 develops a novel very high performance tracking calorimeter for the precise measurement of the energy of the particles produced in high-energy collisions. One of the key challenges that we have had to overcome is that of reading out the unprecedented quantity of information that such a calorimeter produces. To address this we have developed a novel, state-of-the-art FPGA based digital platform (SERENITY), including machine learning. We have developed a generic platform that has potentially very wide applicability wherever there are high data rates or high throughput. This PoC seeks to apply this technology in the wider context, from the health to security and fintech sectors.

Keywords: high throughput digital electronics,fpga,machine learning