Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Neosurance's objective is to propose innovative short-term insurance policies,proposed to the client a few hours before an event he is going to participate,through an advanced machine learning engine (NEOSURANCE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Italy
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Neosurance is a 50/50 joint venture between Neosperience, specialized in Digital Customer Experience, and Digital Tech International, operating in InsurTech sector. The objective of Neosurance is to propose a new insurance product, the "micro-insurance on the spot" ("Snap Insurance"). The Snap Insurances are short-term insurance policies, proposed to the client a few hours before an event he is going to participate (a trip, a sport, a concert) through push notifications that he receives on his smartphone, with which it’s possible to finalize the purchase of Snap Insurance in a few minutes from the mobile. Neosurance works with the ambition to create a new insurance market with a completely new and innovative insurance product. Its positioning is unique in the field of "one-time insurance": its technology platform is an advanced machine learning engine, based on proprietary algorithm, matches insurance coverages to customer needs in milliseconds. Neosurance also followed a pilot project, installing the SDK of its platform on the app used by a community consisting of more than 500,000 five-a-side soccer players, by connecting the community platform with the Neosurance one and performing the first test by sending push notifications to a defined category of users. Neosurance is applying for Phase 1 of the SME Instrument to develop a feasibility study in order to confirm and define its strategies into its global project, with technical, business and financial objectives. Then Neosurance will apply for Phase 2, to organize a business development program which start selling Snap Insurance first in Europe and then worldwide. Neosurance will bring a sharp breaking in the EU insurance market and, we expect, also on global scale. The company is positioned within the insurance market in the segment of "Connected Insurance" as one of the best-in-class player, winning the AXA Insurance Lab contest at VIVA Technology 2016 in Paris and the Insurance IoT Europe 2016 in London.

Keywords: insurance,connected insurance,innovation,short term policies,machine learning engine,mobile
(Ultra)Sound Interfaces and Low Energy iNtegrated SEnsors (SILENSE)

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: Austria,Germany,Germany,Austria,Germany,Germany,Spain,Spain,Germany,Spain,Spain,Austria,Norway,Belgium,Norway,Belgium,France,France,Czechia,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom
Call: ECSEL Key Applications and Essential technologies (RIA) (H2020-ECSEL-2016-1-RIA-two-stage, 2016)
Start date: 2017-05-01
End date: 2020-04-30
Duration (months): 36.0
Total project cost (EUR): 29040989.08
EU funding (EUR): 8606849.24
Participants: 35
Project status: CLOSED

The SILENSE project will focus on using smart acoustic technologies and ultrasound in particular for Human Machine- and Machine to Machine Interfaces. Acoustic technologies have the main advantage of a much simpler, smaller, cheaper and easier to integrate transducer. The ambition of this project is to develop and improve acoustic technologies beyond state-of-the-art and extend its application beyond the mobile domain to Smart Home & Buildings and Automotive domains. In this project, it will be proven that acoustics can be used as a touchless activation and control mechanism, by improvement or development of different smart acoustic technology blocks (hardware, software and system level) and integrate these blocks at system level. At technology level, the SILENSE project will: - Adapt and improve cost, performance, directivity and power consumption of (MEMS) acoustic transducers (incl. testing and qualification) - Heterogeneously integrate arrays of acoustic transducers with other electronics, using advanced (3D) packaging concepts - Develop smart algorithms for acoustical sensing, localization and communication - Combine voice and gesture control by means of the same transducer(s) At application level the SILENSE project will: - Apply acoustical sensing for touchless activation/control of mobile devices, wearables and, more in general, IoT nodes. The project links to Smart Systems Integration (B4), and refers also to application application-related topics, such as Smart Mobility and Smart Society. The application scope of the developed technologies is broader and comprises more societal domains, such as smart home/buildings, smart factories (i.e. Smart Production) and even Smart Health. Furthermore, a clear cross reference with Semiconductor Process, Equipment and Materials (B1) is established in view of the heterogeneous integration of technology blocks. Conventional silicon technologies will be combined with printed (flexible, large area electronics).

Keywords: ultra sound transducers,touch less,drive and read out circuitry,flexible electronics,heterogeneous integration
Climbing the causality ladder to understand and project the energy demand of the residential sector (WHY)

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: Research and Innovation actions
Countries involved: Germany,Germany,Austria,Germany,Spain,Spain,Greece,Netherlands
Call: Socio-economic research conceptualising and modelling energy efficiency and energy demand (H2020-LC-SC3-EE-2019, 2019)
Start date: 2020-09-01
End date: 2024-01-31
Duration (months): 41.0
Total project cost (EUR): 1999982.5
EU funding (EUR): 1999982.5
Participants: 9
Project status: SIGNED

In order to mitigate climate change effects, urgent action is required in all sectors of the economy to significantly reduce greenhouse gases (GHG) emission. Energy System Models (ESM) are tools that help energy analysts, planners and policy makers to rationally describe energy systems and systematically evaluate the impacts of long-term scenarios. On the supply side, ESMs have provided useful results, but however, on the demand side, they lack the degree of accuracy required for proper characterization of, among others, the use of energy in households. One of the intrinsic difficulties is that energy demand in the residential sector is influenced by a myriad of factors (like the high diversity of dwellings, socio-economic conditions of the social/family units, and behavioral-related consumption patterns) that cannot easily be accounted for in traditional ESMs. To overcome this challenge, the novel Causal Modeling will be used to quantitatively analyse human decision making in energy consumption and their reactions to interventions (e.g. policy changes). This will be combined with an innovative FFORMA approach which allows multiple different load profiles to be categorised by a set of vectors describing it. WHY will therefore create innovative methodologies for short and long term load forecasting. The WHY modeling will allow to directly assess the impact of a multitude of policies on the energy system as well as performing both ex-ante and ex-post assessment over policy measures. WHY will therefore contribute to a holistic understanding of household energy consumption and improved demand modelling. The WHY toolkit will be used to assess several scenarios simulating different policy measures. Integration with widely-used ESMs (PRIMES, TIMES) will be demonstrated and the results analyzed. All results will be open-sourced to maximize uptake, and be widely disseminated to diverse target audiences (i.e. DSOs, energy companies, policy makers, researchers).

Keywords: structural causal model,household behaviour,energy system modelling,times,prime,social assessment,review of policy objectives,improve operation and management energy system
Medical Phase Contrast X-ray Imaging with Laser Plasma Accelerator (XMED)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: France
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-04-01
End date: 2016-09-30
Duration (months): 18.0
Total project cost (EUR): 149851.0
EU funding (EUR): 149851.0
Participants: 1
Project status: CLOSED

Cancer detection at an early stage is crucial for subsequent therapy success. To achieve this goal, an effective screening should rely on a specific tool that should be not only non-invasive but also adaptable to patients and their diseases. Widely used nowadays, X-Ray imaging (RX) is a well-established cancer screening technique. However, it poses major problems of (i) detection of tumours at early stages when they are small and of low contrast, (ii) dose deposition in a body, especially for frequent and long term monitoring and (iii) energy tunability of the X-ray source to optimize the imaging. The project XMED aims at tackling simultaneously these three strong limitations, and to come out within 18 months with a demonstrator. For this purpose the most advanced electron beams produced by laser plasma accelerators will be use to radiate a bright, tunable X ray beam using the recent all optical Compton scheme.

Keywords: medical imaging,x ray,screening,tomography,laser,plasma,accelerator,ultrafast,murine,startup
Ultrasonic Imaging and Drug Propulsion Into Tumors Using Genetically Encoded Gas Nanostructures (TheraSonix)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Israel,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-05-01
End date: 2022-01-31
Duration (months): 36.0
Total project cost (EUR): 263385.0
EU funding (EUR): 263385.0
Participants: 2
Project status: CLOSED

One of the important shortcomings of modern anticancer therapies is their limited penetration depth of only a few cell layers into the tumor. Concentrated around the heterogeneous vasculature, these drugs produce only a local therapeutic effect. In this project we propose a method of overcoming this limitation by engineering a novel class of gas-filled nanostructures capable of homing to tumor tissues, and using their vibration in response to ultrasound energy to deliver drugs deeper into the tumor core. The proposed approach is based on ultrasonic cavitation, a phenomenon in which gas bubbles expand and collapse under the influence of ultrasound waves. This process produces fluid streaming that propels drugs deeper into the tumor mass. The use of ultrasound for drug delivery is attractive due to its availability and affordability. However, the use of this technology is currently limited by the properties of conventional microbubble-based cavitation nuclei: their large size prevents them from penetrating into the tumor and their short circulation times do not match the pharmacokinetic time constants of many drugs. To overcome these challenges, we will utilize gas vesicles (GVs), a unique class of genetically encoded, gas-filled protein nanostructures derived from buoyant photosynthetic microbes, as cavitation nuclei. Unlike microbubbles, GVs are physically stable and their nanoscale dimensions have the potential to enable them to extravasate into tumors and bind to specific cellular targets. We hypothesize that GVs can act as both imaging agents and cavitation nuclei. If so, this therapeutic approach could have vastly improved efficacy and selectivity and the potential to combine cavitation-enhanced drug delivery with emerging advancements in cell based therapeutics. This project will enable the applicant to diversify his capabilities and experience beyond ultrasound imaging and signal processing and re-inforce a position of professional maturity.

Keywords: acoustic nanostructures,drug delivery,cancer,cavitation,contrast agents,gas vesicles,genetic engineering,molecular imaging,protein engineering,ultrasound,cancer therapy,cavitation nuclei
Advanced clinical photoacoustic imaging systems based on optical microresonator detection (Photoclin)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-12-01
End date: 2025-04-30
Duration (months): 89.0
Total project cost (EUR): 2163061.0
EU funding (EUR): 2163061.0
Participants: 1
Project status: SIGNED

Photoacoustic imaging is widely viewed as one of the most exciting and promising biomedical imaging techniques to have emerged in recent years. It offers major opportunities for increasing our understanding of basic biological processes at an anatomical, physiological and molecular level, and for improving the clinical diagnosis and treatment of cancer and other major diseases. The aim of this project is to develop and evaluate a new generation of advanced photoacoustic scanners for clinical photoacoustic imaging based on a novel, highly sensitive, optical microresonator ultrasound sensor. This type of sensor offers the prospect of a major step forward in terms of imaging performance by providing orders of magnitude higher sensitivity than equivalently sized conventional detectors with the necessary broadband frequency response and small element size for high image quality. As a consequence, it promises greater penetration depth and improved image quality than possible with current state-of-the-art photoacoustic scanners. This will pave the way for in vivo high resolution human imaging at depths currently unattainable, opening up entirely new clinical applications in oncology, cardiovascular medicine, regenerative medicine and other areas which have hitherto been impossible due to hardware limitations. The project will involve the development of novel polymer optical microresonator sensors, advanced parallelised optical read-out schemes for real-time image acquisition, and engineering complete imaging instruments for use in clinical studies. These instruments will then be evaluated in a variety of clinical contexts including the assessment of skin cancer, head and neck cancers, cardiovascular disease and reconstructive surgery.

Keywords: photoacoustic,optoacoustic,ultrasound,biomedical optics,ultrasound sensors,clinical diagnostics,imaging
Solvent free Cryopreservation of Hematopoietic Stem Cells (CRYOSTEM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: United Kingdom
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-06-01
End date: 2019-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

This proof of concept grant will revolutionise how bone marrow stem cells are cryopreserved by translating ERC-grant developed technology, inspired by how organisms survive in extreme cold temperatures. Bone marrow (haematopoietic) stem cells are used in life saving treatments, especially for blood cancers such as Leukaemia, but have potential for a wide range of diseases. The current method for storing stem cells involves addition of huge amounts of toxic organic solvents which leads to unwanted side-effects and not all the recovered cells are viable. There is also a rapidly growing market for stem-cell therapies, but with a major bottleneck being the logistics of transport: getting the cells from the (small number of) specialised production facilities to the patients, with minimum processing and within the cold chain. We have established strong preliminary data demonstrating an entirely new concept in cryopreservation based on the use of (patent pending) synthetic polymers, which can control ice formation and growth. These are inspired by how antifreeze proteins protect organisms which live in sub-zero environments, but with the advantages of being; Highly tuneable; Low toxicity; Scalable synthesis. This is backed up by demonstration of function in immortalised cell lines, and is ready to be applied to real biomedical problems. In this project we will obtain convincing data-sets demonstrating that our synthetic polymer can revolutionise the storage and transport of stem cells for current and emerging therapies. This will bring significant societal change through enabling new regenerative medicine therapies and bringing real commercial benefit by solving a supply chain challenge and improving on the current 50 year old method.

Keywords: cryopreservation,polymers,biomaterials,antifreeze proteins
Microplastic removal from water using purposely-designed biodegradable gelatine hydrogels (MICROPLASTINE)

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: Information Science and Engineering
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2024-01-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: SIGNED

The abundance of microplastics in the environment, and in water in particular, is a growing concern. Kosuth et al. (2018) showed that they were present in 81% of 159 drinking waters sampled across 14 countries. Both European Commission and EU Parliament have on-going investigations to enforce public policies to reduce the amount of microplastics released in the environment. Nestlé, as one of the many extensive users of plastics to protect and safely deliver goods, has been engaged in decreasing the environmental impact of its plastics and in ensuring that microplastics are absent from its products. In addition to policies tackling microplastic release in the environment, solutions are needed to remove those which are already present. MICROPLASTINE aims at designing low-cost reusable biodegradable gelatine hydrogels to remove microplastics from water. Our water remediation process is based on the ability of charged gelatine hydrogels to flocculate oppositely charged microplastic particles, leading to the formation of aggregates that quickly sediment under gravity and can then be separated from water. As the charge of our hydrogels is pH-sensitive, they can be easily recovered by changing the pH. Using static and dynamic scattering techniques, our detailed examination of hydrogel-microplastic association and of the structure of their aggregates will not only allow us to understand the role played by microstructure and surface chemistry, but also to optimise hydrogel structure and properties; thereby creating rapid aggregation processes. The same techniques will also allow us to investigate the aggregation reversibility, and subsequently design hydrogel regeneration and microplastic recovery processes to ensure the full reusability of our biodegradable flocculant. Model microplastic particles with well-defined shape, size, material and charge will be used, before the optimised flocculants are tested on weathered microplastic particles.

Keywords: hydrogels,scattering,food science,water remediation,microplastics,soft matter,colloids
Democratizing a Cyber Security Toolkit for SMEs and MEs (CyberKit4SME)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Improve cyber security
Action type: Innovation actions
Countries involved: Spain,Italy,Israel,Austria,Austria,Germany,Italy,Belgium,Romania,Norway,Belgium,Romania,France,United Kingdom
Call: Digital Security and privacy for citizens and Small and Medium Enterprises and Micro Enterprises (H2020-SU-DS-2019, 2019)
Start date: 2020-06-01
End date: 2023-11-30
Duration (months): 42.0
Total project cost (EUR): 4890725.0
EU funding (EUR): 3913052.38
Participants: 16
Project status: SIGNED

CyberKit4SME aims to democratize a kit of cyber security tools and methods enabling SMEs/MEs to: Increase awareness of cybersecurity risks, vulnerabilities and attacks; Monitor and forecast risks; Manage risks using organisational, human and technical security measures with greater confidence; and Collaborate and share information in a collective security and data protection effort. Tools developed in the project are: Semi-automated ISO 27005 threat identification and risk mitigation analysis, using a knowledge base of technical and human/organisational risk factors; Encryption and isolation tools to protect data being stored, processed or exchanged; Security information and event management, using multiple data sources for threat detection and diagnosis, Blockchain tools for SMEs/MEs to share intelligence and incident reports with supply chain partners and with CERTs. CyberKit4SME will make its tools cheaper and more usable by SME/ME, by 1) Exploiting synergies between tools in the kit to simplify the use of each; 2) Sharing information to increase the data available for threat detection and diagnosis at each SME/ME; 3) Embedding intelligence (e.g. machine reasoning and data analytics), to fill gaps in inputs and automate tasks such as risk analysis and security configuration. The project will also use its tools and cyber range demos to train SMEs/MEs to identify their top threats and recognise and address them with greater confidence. Results will be validated by SME/ME in four critical sectors: Finance, Health Care, Energy and Transport. Outcomes include reducing the time/cost of cyber security awareness and protection, simplifying meeting and demonstrating compliance with NIS Directive and GDPR, protecting distributed assets from cloud services to edge devices, and engaging in secure supply chains with larger organisations. The project will also collaborate with related research projects and disseminate widely in the scientific community and in SME networks.

Keywords: democratic and secure ict