Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Personalised In-Silico Cardiology (PIC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Spain,Spain,Norway,Switzerland,Norway,Norway,Belgium,Belgium,France,Netherlands,United States,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-09-01
End date: 2022-02-28
Duration (months): 54.0
Total project cost (EUR): 4000569.48
EU funding (EUR): 4000569.48
Participants: 19
Project status: CLOSED

Improving healthcare systems mandates a shift towards personalised and preventive management of disease. Specifically, the management of cardiovascular diseases has a huge impact on European society in terms of mortality, morbidity and healthcare costs, being responsible for 1.9 million deaths in the EU annually (42% of all deaths) with a total cost of €169 billion. Advances in computational and simulation technologies now provide us with unparalleled capacity to analyse clinical data in-silico, rendering the vision of an early detection of disease through model-based diagnostic biomarkers, and the design of personalised therapies through predictive models. In-silico methodologies enable the optimization of clinical protocols, from data acquisition to device parameters and intervention choices. In-silico tools also enable the reduction of animal use in the development of novel cardiac therapies and drugs. PIC is the European ITN that will train the cohort of 15 of the future innovation leaders able to articulate and materialise the vision of a Personalised In-silico Cardiology (PIC). It will address specific challenges originated by cultural and structural barriers between sectors and disciplines, articulating a fluent dialogue and work between clinicians and engineers. Fellows will be exposed to the generation of novel academic ideas, the design of practical solutions that meet actual clinical needs, the translation into industrial products, and the compliance with safety and regulation requirements. This will be achieved by pooling the expertise of leading experts from 4 academic, 3 industrial and 3 clinical beneficiaries. A highly inter-disciplinary program will be delivered in 4 research work packages, with companies leading two of them. New talent and innovation will be produced through the training in the disciplines of computational cardiac modelling, medical imaging & sensing, and clinical devices & instrumentation.

Keywords: computational cardiology,computational cardiac modelling
SoftReVision - SOftware for the REhabilitation of Vision (SoftReVision)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-03-01
End date: 2023-02-28
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Stroke is the third leading cause of death in Europe. In 2015, 613.148 people died of stroke, producing suffering in the patients and an economic burden of 45 billion euros. Most suffering and thereby the economic burden could be reduced if rehabilitation would be early and intense enough, thus resulting in an autonomous mobility in patients. Current rehabilitation procedures for post-stroke symptoms do not lead to quick and long-term recovery. With SoftRevision, a rehabilitation software shall be offered that runs together with a commercially available VR equipment and is easily suitable for bedside usage. Importantly, this software shall combine diagnostic and rehabilitation such that training procedures can be individually tailored to the needs of each patient. The rehabilitation procedure will be based on knowledge obtained in the associated ERC starting grant moreSense. In order to evaluate the efficacy of the software three studies with patients will be conducted. In these studies the rehabilitation success of the software will be quantified in comparison to existing procedures. The project will be carried out in cooperation with a rehabilitation clinic and a virtual reality software company. For the development of SoftRevision a software developer will be hired. The software developer will create the product based on the ideas of the PI. In addition, the developer will generate a graphical user interface that allows a “plug-and-play” version of the software. This shall make the software accessible for patients without previous technological experience. The rehabilitation clinic hosts 1000 patients, thus providing ample opportunity to validate and optimize SoftRevision. The virtual reality company shall market the product and offer long-term technical support for users and provide updates. In conclusion, with SoftReVision the team aims to produce an innovative tool for diagnostics and rehabilitation of post-stroke symptoms.

Keywords: software for rehabilitation,stroke,perceptual deficit
Innovative Swept Source for next generation OCT devices (ISSO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-12-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

According to the World Health Organization, 50% of all cases of blindness in Europe are preventable and 80% of all vision impairment is considered avoidable. However, early diagnostic requires comprehensive and accurate diagnosis tools. While OCT has emerged over the past two decades as the undisputed gold standard for accurate, high resolution local characterization of ophthalmic tissues, its limitation to provide wide field-of-views (FOV) over the entire eye structures has been vastly acknowledge as a key bottleneck to improve early diagnosis of eye conditions – in particular retinal vascular diseases (e.g. diabetic retinopathy). OCTLIGHT has developed a disruptive laser source – the heart of the OCT system – enabling a step improvement over competing alternatives in the market, providing the cornerstone towards the next generation of 3-dimensional, wide-field and high-resolution imaging of the eye. Besides its superior performance compared to current competitive technology, OCTL’s swept source delivers these advantages at a competitive price, providing an unmatched value proposition– not only in ophthalmic applications but also in other fields using OCT (e.g. cardiology, dermatology, etc.). Resonating with the fast expansion of the OCT market - expected to reach $1.8Bn by 2024 and growing at a double-digit rate – there is thus a very significant business opportunity for OCTLIGHT to gain a foothold as the lead (sub-)supplier of top tier OCT components. Hereto, the successful implementation of the present innovation project will represent a significant business opportunity for OCTLIGHT, with significant revenue/profit and job creation to be untapped in the first 5 years of commercialization. In addition, the present project is considered as a vital cornerstone to fuel OCTLIGHT’s growth, while simultaneously providing tailwind to a step performance improvement in next generation OCT systems.

Keywords: vcsel,swept sources,optical coherence tomography
Innovation Support Services for SMEs in North West Italy (ALPS.INN3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Italy,Italy,Italy
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 283087.02
EU funding (EUR): 226469.6
Participants: 9
Project status: CLOSED

The project, whose geographical coverage will be North-West Italy (3 regions : Piemonte Liguria and Valle d’Aosta) aims at implementing a specific framework service for supporting SMEs in the innovation management capacity . The service, delivered through provision of 96 individual companies’ service packages, will be directed to SMEs with international growth potential via product, process service and or business model innovation- with gaps regarding innovation management. In particular, the action will focus on the following specific objectives: 1. SMEs international growth, including participation to European programs 2. SMEs Innovation capacity enhancement and innovation projects implementation, job creation and new market access 3. SMEs Innovation results exploitation and innovation spill over enhancement at local level 4. Significant value creation for the SMEs through the intervention on ate least 1of the main innovation drivers (offer, process, distribution, customer relations) 5. Deep understanding of local business innovation support needs: mapping and understanding the context within which the service is placed 6. EEN specific service positioning within the regional innovation ecosystem 7. Advisory skill enhancement: ALPS EEN personnel, assisting the experts in this Action, will increase expertise and competences, providing high level advisory on innovation management 8. Fine tuning of a EU shared support methodology for EEN staff, which could be adopted for profitably supporting other local SMEs 9. Contribution to the creation of a visible and well identified Coach/EEN experts community at EU level (through the participation t o the specific pilot and or Working Groups and activating dedicated awareness raising campaigns ) 10. Editing of an operational internal manual/chart for a harmonized service within the EEN ALPS Consortium (for years 2015 on), and contribution to definition of an common, EU-level EEN operational manual

Keywords: smes,innovation mangement,business support services,enterprise europe network,high gorwth companies,business coaching
Innovative heat-to-power engine for very low temperature heat recovery applications (IE-E)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Greece
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-07-01
End date: 2016-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The strategic objective of the IE-E project is to develop a new heat-to-power engine in low-temperature ranges so that to recover and convert heat to power in a cost effective manner. This will be implemented by using an isothermal, scroll type expander that will replace the conventional (close to) isentropic one that is exclusively included in conventional ORC engines. This configuration can lead to much higher cycle thermal efficiency than the existing ORC units. The development of such isothermal expander makes it feasible to reach much higher efficiency than that of a conventional ORC, which is up to now the most common technology of heat conversion (e.g. biomass, industrial waste, geothermal and solar energy) into electricity. A first prototype has been designed, manufactured and tested, revealing the potential of this technology. Further work is required to validate and improve this concept and up-scale the expander to 20 kW rated power, with the aim to conclude to a commercial product. The proposal deals with this state of the art expansion machine and configuration, in order to promote this new engine/product to the internal combustion engines market, focusing on the utilization of the heat rejected from the engine cooling systems (for engines up to 500 kWe). This market includes both stationary engines for power production (fuels: diesel, gas, biogas, etc.) and marine engines (auxiliary diesel engines used for electricity production), while an overall power increase up to 10% can be achieved, reducing accordingly the produced specific emissions.

Keywords: heat to power engine,waste heat recovery,internal combustion engines,energy efficiency
Patented advanced low-cost multiwell cell-culture system for in-vitro physiologically relevant biomarker screening (Multidyn)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Germany,Italy,Finland
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 3
Project status: CLOSED

Biomarkers in discovery are valuable tools to understand the pathobiology of a disease and the pharmacology of a target under investigation. In-vitro screen would be invaluable in identifying working hypothesis early in drug development process. Information provided by properly selected biomarkers can greatly influence a go/no go decision. The challenge is to identify relevant biomarkers early enough to implement them for such critical decisions. In developing in-vitro assays to identify biomarkers with potential clinical application and utility, a clear understanding and determination of what that biomarker will assess must be defined. More reliable biomarker screening protocols based on allometric scaling laws are needed to be implemented in order to gain results more respondent to human physiology. The predictive power of High Content Screening techniques can be enhanced by working with primary cells or differentiated stem cells and in 3-D culture. Nevertheless, in-vitro cell cultures are still far away from the complexity of human tissues or organs. IVTech intends to industrialize and test Multidyn, a patented advanced low-cost cell culture system made up by a 24-chambers plate complying with the multiwell standard, capable of any internal connection and flow within the cells, able to realize cheaper faster in-vitro physiologically relevant cellular systems. Multidyn will be tested for early diabetes biomarker discovery by using a developed model of liver, vascular endothelium and adipose tissues, and when equipped with the highly performing 3D scaffolds provided by the partner Scaffdex and with suitable High Content Imaging systems provided by the partner Celltool and selected scientific laboratories. IVTech’ Multidyn is at TRL 6. Phase 1 project will assess the activities needed to demonstrate the product in operational environment with potential end-users, establish a large scale production and test the market.

Keywords: cell culture system,biomarker discovery,high content imaging,in vitro test,multiwell
Invidyo – Smart Baby and Baby Sitter Monitoring System (Invidyo)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Türkiye
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2019-04-30
Duration (months): 22.0
Total project cost (EUR): 1453125.0
EU funding (EUR): 1017187.5
Participants: 1
Project status: CLOSED

Video monitoring is a large and growing market expected to reach a market volume of $71.28 billion by 2022 and has 16.56% annual growth rate. After performing an extensive market analysis, and evaluating feedback from existing customers, Mobilus decided to focus on the baby monitoring vertical due to the large market size and the inability of the current solutions to address the needs of the users, especially working parents. The number of working mothers and working hours are growing exponentially, which creates the problem that the time spent with the babies is steadily decreasing. According to scientific surveys almost 80% of working moms feel guilty about leaving their children at home and missing out precious time with their babies. Each year, there are around 140 million live births worldwide. The child’s safety and overall condition are naturally top-priorities for parents. Invidyo is designed to address these concerns and provide parents with a peace of mind that is not present in conventional products. Invidyo is the first and only child monitoring solution that employs Artificial Intelligence to provide smart daily summaries, smile albums generated using emotion recognition and baby crying detection. The initial version of Invidyo has been developed and pilot launches have been made in the Turkish and the US markets. Due to initial success, Invidyo has managed to raise private investment, successfully complete an international crowdfunding campaign and was selected to participate in Amazon Launchpad (a special program offered by Amazon.com only to SMEs with innovative products). We are planning to fully commercialize Invidyo at the end of Phase 2 and penetrate into 5 biggest markets in Europe & US within three years. We are planning to generate a revenue of 100 million € and create 79 new employments within the first 5 years.

Keywords: baby sitter monitoring,working parents,face recognition,deep learning,crying detection
Cloud Worlds: from Venus to Exoplanet (CLOUDWORLDS)

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: Physics
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-10
End date: 2021-06-09
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: CLOSED

Venus is a unique planet in the Solar System with its 100% cloud coverage. We propose to analyze Venus images and spectral observations from the ultraviolet to the near infrared spectral range, to understand the cloud properties and the radiative forcing by clouds in the atmosphere. The techniques we will develop can also be applied to exoplanet observations and modeling. Comparing with the Venus results will help to better understand clouds on exoplanets. We successfully acquired space and ground-based Venus data in 2017-2018 in collaborations with the Japanese Venus orbiter team and 15 other colleagues in Europe, Japan, and USA. Our analysis will use known methods, e.g. the dependence of aerosol scattering on the solar phase angle, a line-by-line radiative transfer model, and a one dimensional radiative-convective model. The proposed research will take place at the Technische Universität Berlin, Germany. Inside the host team, and under the supervision of host Prof. Rauer, the researcher will collaborate with Dr. García Muñoz on the phase angle dependence analysis, with Dr. Helbert to plan scientific observations of Venus with MERTIS at the time of the BepiColombo flyby in 2020, and with Dr. Kitzmann on climate modeling for early Venus. As the host team has strong background in exoplanet research and leads future exoplanet space missions, the researcher will receive training on the comparative analysis of Venus and exoplanets and climate modelling. The proposed study is very timely, considering the upcoming exoplanet missions CHEOPS and PLATO, as well as the proposed future Venus missions. The training and the proposed research will significantly strengthen the career of the researcher, and may help her secure participation in future exoplanet and Venus studies. The researcher will be trained by the host institute in quantitative skills, e.g. the project management and communications with public and students, enhancing the long-term career of the researcher.

Keywords: clouds,venus,exoplanet,remote sensing,ultraviolet,near infrared,spectral observation,imaging,phase curve,unknown absorber,radiative energy budget,radiative transfer model,climate model
Development of a commercially-viable system for the automatic generation of high-throughput well defined single and double microdroplets (AutoDropProd)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Emulsions are widely used in industries such as foods, cosmetics, pharmaceuticals and chemicals. However, most of the emulsions used in the industry consist of polydisperse droplets. Emulsions of monodisperse droplets have many advantages, such as higher stability, thus longer shelf life and easier to control physical properties (e.g. viscosity or visual appearance). Small scale production of monodisperse emulsions is easily achievable using microfluidics technology. To increase the production rate of the emulsions to industrial levels and maintain droplet monodispersity, we propose to use parallelization of liquid flows with coupled flow microchips together with a fully automated droplet production system which can monitor droplet sizes and adjust flow rates to compensate for any fluctuations in the system. The next step for the system is production of monodisperse double emulsions, applicable for double drug delivery and other applications. Commercialization of such a system would allow scientists in different laboratories (e.g. pharmacy, biology, genetics, chemistry) to simplify the monodisperse single and double droplet production procedures. At the same time, industry would benefit from the simplified monodisperse emulsion preparation, increase the efficiency and lower costs. To create such a high throughput automated system I will employ my previous experience from physics, material science and microfluidics. At the same time I will receive training inentrepreneurship from the perspective of a start-up company, increase my knowledge microfluidics system automation and learn effective business communication at the private sector. This experience and acquired knowledge will open new possibilities for me to establish myself in the industry, R&D companies or become more competitivein the scientific community.

Keywords: droplets,automation,microfluidics,monodisperse droplets,coupled flow,double emulsions