Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Characterization of Intestinal Cancer Cell Invasion (CICCI)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Approximately ninety percent of all cancer-related deaths are caused by the spread of cancer cells to distant sites rather than the growth of the primary tumour. The process of metastasis formation requires the ability of tumour cells to spread from primary tumours, by invasion of surrounding tissue, and afterwards by spreading to distant organs in order to manifest its devastating consequences for patient survival. The series of distinct steps leading to the formation of metastases has been referred to as the “invasion-metastasis-cascade”. For many years there has been an absence of genetically engineered mouse models of invasive intestinal cancer to analyse the complex processes occurring during the invasion-metastasis-cascade and the presumably underlying mechanisms such as epithelial-mesenchymal transition (EMT), cancer stem cell populations and mutation rates in the intestine. Combining adenomatous polyposis coli (Apc)-loss with either p53 mutation or Tgf-β receptor (Tgfbr)-loss results in invasive intestinal carcinoma of mice. The host laboratory generated these two contrasting models of invasive adenocarcinoma, which will be utilized to generate an invasion signature of mRNA and miRNA expression to analyse the underlying processes and important players and targets for future therapies of this initial step of the invasion-metastasis-cascade. Additionally, by comparing the obtained expression profiles to previously published intestinal stem cell signatures and by using genetic labelling in carcinomas, I will analyse the cell culture and human tissue based theories, which indicate that invasive tumour cells, which underwent an EMT, display increased stem cell properties and numbers. This knowledge will generate important information for future cancer stem cell targeting therapeutic strategies.

Keywords: stem cell biology,comparative transcriptomics,mouse genetics
Enhancing innovation management capacity of SMEs in the Netherlands 2017-2018 (INMANCAP 2017_18)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Netherlands,Netherlands
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 909905.0
EU funding (EUR): 909905.0
Participants: 2
Project status: CLOSED

The overall objectives of the project are to deliver services designed to enhance the innovation management capacity of SMEs in the Netherlands between 1 January 2017 and 31 December 2017. These services will comprise both Key Account Management services under the SME Instrument of Horizon 2020 and services to Enhance the iInovation Management Capacity of SMEs. The sub objectives for the first category are: to develop regional SME innovation management capacity by carrying out an innovation management gap analysis and developing and implementing a coaching action plan for a specific project under the H2020 SME Instrument. The sub objectives for the second category are: to identify promising SMEs capable of growth and successful internationalisation, to carry out a diagnostic audit to identify gaps in the regional SME innovation management capacity and to develop and implement a tailored action plan to make the innovation system in the company more efficient and effective.

Keywords: innovation management capacity,coaching,key account management,horizon 2020
Targeted microbubble vibrations to accurately diagnose and treat cardiac device-related bacterial biofilm infections (BUBBLE CURE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Netherlands
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2025-06-30
Duration (months): 78.0
Total project cost (EUR): 1878000.0
EU funding (EUR): 1878000.0
Participants: 1
Project status: SIGNED

Due to an aging population, increasingly more cardiac devices are implanted (pacemaker/ICD/CRT/ prosthetic valve/LVAD; worldwide ~2 million yearly). Life-threatening bacterial infections (1-60% infection and 29-50% mortality rate) associated with these devices are a major healthcare burden and pose scientific challenges. Ultrasound imaging is currently the primary diagnostic modality. However, it lacks specificity and sensitivity because the signal from the bacteria is similar to the signal of healthy tissue or the cardiac device, thus making accurate diagnosis impossible. Recent developments in targeted ultrasound contrast agents (i.e. targeted microbubbles (tMB), 1-8 micron in size) allow ultrasound imaging of a specific tMB vibration signal resulting in exceptional sensitivity and specificity. Advancing tMB imaging to detect bacterial infections is needed to solve the challenges caused by the complex ultrasound field from these devices. I was the first to show that vibrating tMB induce vascular drug uptake, thereby showing the potential of tMB as a theranostic agent by combining imaging with drug delivery. Recently, my team and I were also the first to demonstrate which tMB vibrations kill vessel wall cells in vitro by developing analysis methods that link tMB vibrations to drug uptake patterns on a single cell layer. As this is the first time this technique will be applied to 3D bacterial biofilm infections on cardiac devices, I will go beyond the state-of-the-art in tMB-tissue interaction technology by developing novel detection, analysis, and modeling methods to accurately determine which tMB vibrations eradicate bacterial biofilm infections on devices. The Bubble Cure project will result in a novel multidisciplinary technology that allows accurate diagnosis and treatment of cardiac device-related bacterial biofilm infections, thereby creating a whole new direction of tMB ultrasound imaging and therapy in the scientific field of cardiology and microbiology.

Keywords: targeted ultrasound contrast agent,ultrasound molecular imaging,microbubble mediated therapy,biofilm,cardiovascular device
Unveiling CO2 chemisorption mechanisms in solid adsorbents via surface-enhanced ex(in)-situ NMR (NMR4CO2)

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: Portugal
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-06-01
End date: 2025-05-31
Duration (months): 60.0
Total project cost (EUR): 1999793.0
EU funding (EUR): 1999793.0
Participants: 1
Project status: SIGNED

Reaching a historic high of 3Reaching a historic high of 32.5 gigatonnes in 2017, global carbon dioxide emissions from fossil fuels combustion continue to increase. CO2 removal technologies are part of the solution to tackle this crucial environmental challenge. Because of their lower regeneration cost, amine-modified porous silicas (AMPS) are the most promising CO2-adsorbents for replacing the decades-old liquid amine scrubbing technology. AMPS are “moisture-tolerant” and selectively chemisorb CO2 from low-concentration mixtures, important features for operating under large-point CO2 emission source conditions. The nature of CO2 species formed on AMPS surfaces determines the gas adsorption capacity/kinetics, selectivity, stability, and regenerability. However, a molecular-scale understanding of the CO2-AMPS adsorption process remains elusive, hindering our ability to design improved sorbents. NMR4CO2 aims to fill in this gap, engaging for the first time state-of-the-art surface-enhanced ex- and in-situ solid-state NMR (SSNMR) to study the chemistry of acidic gases (mainly CO2) adsorbed on AMPS, and the gas-solid interfaces, using simulated industrial gas mixtures. The project combines the expertise of spectroscopists, chemists, and engineers to tackle these challenges. NMR4CO2 encompasses the design of novel SSNMR methods to study the kinetically- and thermodynamically-driven CO2-AMPS adsorption process, comprising in-situ flow NMR, dynamic nuclear polarization NMR, and isotopically-labeled gas mixtures. Important outcomes include: i) identification of competing CO2 chemisorption pathways; ii) effect on CO2 speciation of textural properties, amine type, inter-amine spacing, and amine-support cooperative effects; iii) real-time monitoring of acid gas speciation in multiple adsorption/desorption cycles; iv) identification of sorbent deactivation species; v) effect of pressure on CO2 speciation and vi) improvement of AMPS sorbent properties by synthetic modification.

Keywords: co2 capture,adsorbent materials,solid state nmr spectroscopy,dynamic nuclear polarization,modeling,acid gases,co2 speciation
Analysis of functional tissue motifs for precision medicine in metastatic breast cancer (Precision Motifs)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Cancer precision medicine aims to bring the right drug (or right drug combination) to the right person. To achieve this, the molecular cause of an individual’s disease must be identified and a treatment chosen that targets that cause to remedy the dysfunction. Tumors are dynamic ecosystems with high heterogeneity in tumor, immune, and stromal cell compartments. This complexity is the main obstacle to implementation of precision medicine. Consequently, approaches that rationalize and use tumor ecosystems for precision medicine are needed. To enable this, I propose to establish the concept of functional tissue motif, a multiscale network representation of multi-cellular assemblies that executes a definable set of anti-tumor or pro-tumor functional outputs. The utility of functional tissue motifs for precision medicine will be demonstrated in the context of metastatic breast cancer, which causes nearly 450,000 cancer-associated deaths each year. We will develop a highly multiplexed 3D tissue imaging approach with unprecedented throughput that provides subcellular resolution to analyze a large cohort of primary and matched metastatic tumors. We will then use viable tumor samples ex vivo to systematically perturb intra-cellular and inter-cellular network wiring using approved drugs, and the drug effects will be measured by highly multiplexed imaging. Functional tissue motifs will be identified using community and geostatistical methods and probabilistic network modeling. Analysis of functional tissue motifs in the light of the clinical data will be used to derive a novel classification system and to identify vulnerabilities in metastatic breast tumors. These vulnerabilities will be validated in follow-up experiments and in a clinical study. Given their focus on functional output, information content and versatility, functional tissue motifs promise to be a powerful concept and should enable to point to appropriate treatments, and inform development of new therapies.

Keywords: single cell analysis,multiscale network inference,data driven
PROgrammable MIxed Signal Electronics (PROMISE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Spain,Belgium,Finland,Greece,France,France,Portugal
Call: Technologies for European non-dependence and competitiveness (H2020-SPACE-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 2875498.75
EU funding (EUR): 2875498.75
Participants: 7
Project status: SIGNED

Space Market is liviSpace Market is living a mutation with the emergence of NewSpace, promoting integration/miniaturization, satellite acceleration, cost-efficient and cost-reduction approaches for all mission types: Earth Observation, Science, Telecom, Navigation and Robotic Exploration. Accordingly, middle range ASIC solutions are in competition with high performance/high capacity FPGA, new multicore devices and Rad Tolerant parts and COTS. Indeed, Mixed Signal ASIC solutions offer functional added value for testability of electronic units and digitalization of full analog functions. Hence, the PROMISE project sets clear and measurable objectives to optimize the design cost, shorten schedule and de-risk analog and mixed ASIC radhard design, manufacturing and qualification by covering the needs of the space industry. More specifically, PROMISE will provide the space community with a flexible mixed signal ASIC architecture design ecosystem built on a portfolio of hardened features. The project will also provide a flexible mixed signal ASIC manufacturing and qualification ecosystem. Last but not least, PROMISE will deliver IP dissemination, commercialization and intellectual property management to allow efficient reuse of the project’s outcomes and efficient environment for new IPs and mid-range ASIC design for space applications. PROMISE, led by Thales Alenia Space, encompasses diverse European partners, subcontractors, potential users or solution providers, all top actors of the European Mixed Signal ASIC ecosystem. The market for mega constellations is in full swing and several initiatives promoted by different operators are already underway. Thanks to PROMISE, a 50 % market share will be reached, so an estimate of 706 satellites will be delivered within a period of 5 years. Assuming only 1 PROMISE based ASIC per constellation and at least 4 pieces of this ASIC per satellite, this means more than 2800 units will be delivered in the first 5 years after the project.

Keywords: mixed signal asic,supply chain,ip library,qualification,radiation tests,fpga based architecture
Analysis of skeletal kinematics for vision-based motion capturing (SeerPredict)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Switzerland
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2020-10-01
End date: 2022-03-31
Duration (months): 18.0
Total project cost (EUR): 244553.57
EU funding (EUR): 171187.5
Participants: 1
Project status: CLOSED

Seervision was founded in 2016, as a spin-off from the ETH Zürich and developed out of the Automatic Control Laboratory research group in the field of camera control. With their broad experience in the field of computer vision, machine learning and artificial intelligence, Seervision aims to develop fully autonomous camera systems based on vision-based 3D motion capturing. The goal is to predict skeletal motion for maximum of 2 seconds in future out of skeletal kinematics and 2D camera frames. Therefore a prediction model has to be developed with a machine learning algorithm to train the model with data on skeletal motion. Using a trained prediction model for skeletal motion based on 3D vision-based motion capturing, Seervision aims to control their camera systems fully autonomously. Currently, there are no such models commercially available and the level of autonomy in commercially available camera systems is much lower. The proposed recruitment of an Innovation Associate (IA) in this project will have significant impact on the business opportunities of Seervision by bringing in the lacking expertise on skeletal motion and development of prediction models based on vision-based motion capturing. The SME IA grant will help to overcome the recruitment barriers of being a relatively unknown, small enterprise that cannot compete with the larger companies due to limited visibility, salary and recruitment budget. Seervision wants to recruit a Computer Vision and Object Motion Engineer that understands the principles of 3D skeletal motion and is able to model and deploy machine learning algorithms within this context. The main added value of this opportunity for the IA is to pursue the transition from an academic environment focusing on basic research to a business environment focusing on developing competitive and cutting-edge products. Next to this, the IA will get the chance to influence and participate in the early stages of a young and innovative company.

Keywords: computer vision,motion capturing,skeletal motion,prediction model,autonomous camera technology
Enhancing the innovation management capacities of SAXON SMEs by the Enterprise Europe Network SAXONY (KAM EIMC SAXONY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany,Germany,Germany
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-05-01
End date: 2014-12-31
Duration (months): 8.0
Total project cost (EUR): 56875.0
EU funding (EUR): 45500.0
Participants: 3
Project status: CLOSED

The aim of the present proposal is to contribute to the smart growth in the Free State Saxony as an emerging region in the European Union by increasing the efficiency and effectiveness of investments in research, development and innovation and by contributing to a better and more efficient connection of actors along the innovation chain. To achieve the above mentioned objectives the proposed project will: a) Identify bottlenecks to the creation of economic impact in companies benefitting from grants by Horizon2020's SME instrument and address these bottlenecks with the help of capable coaches. This service to beneficiaries of the SME instrument in the context of a giving project is called “Key account management”' (KAM). b) Increase the efficiency and effectiveness of innovation processes in small and medium sized enterprises with significant innovation activities that could potentially become beneficiaries of European support to research and innovation but would not have effective access to consulting services for innovation management. This service, which will be provided independently from a specific innovation project and focussing on a company's innovation management system, is called “Enhancing the innovation management capacity of SMEs” (EIMC). The project targets at the delivery of in total twenty 7-days service packages, five KAM and 15 EIMC services, in the geographical area of the Free State Saxony (Germany).

Keywords: innovation management capacity,key account management
Granting society with LOw environmental impact innovative PACKaging (GLOPACK)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive agri-food sector for a safe and healthy diet
Action type: Innovation actions
Countries involved: Italy,Italy,Germany,Germany,Ireland,Italy,Belgium,Belgium,Belgium,Hungary,France,France,France,France,France,Portugal
Call: Innovative solutions for sustainable food packaging (H2020-SFS-2017-1, 2017)
Start date: 2018-06-01
End date: 2021-11-30
Duration (months): 42.0
Total project cost (EUR): 6658650.36
EU funding (EUR): 5560785.47
Participants: 23
Project status: CLOSED

GLOPACK proposes a cutting-edge strategy addressing the technical and societal barriers to spread in our social system, innovative eco-efficient packaging able to reduce food environmental footprint. Focusing on accelerating the transition to a circular economy concept, GLOPACK aims to support users and consumers’ access to innovative packaging solutions enabling the reduction and circular management of agro-food, including packaging, wastes. Building from existing key enabling but simply applicable technologies, GLOPACK will focus on increasing the TRL of the three main promising advances in the food packaging area: (1) bio-circular (biodegradable materials issued from agro-food residues conversion) packaging materials, (2) active packaging to improve food preservation and shelf-life without additives and (3) RFID enabled wireless food spoilage indicator as new generation of self-adjusting food date label. GLOPACK strategy will tackle the diffusion of these innovation through the whole stakeholders chains, from the researcher up to the consumer, i.e. the uptake by packaging industry through pilot and large-scale processing for the selected technologies, by food companies through the deployment of a software tool for decision making and for providing proof of usefulness to all stakeholders, by others users (e.g. retailers) and consumer through user-driven adoption strategies, cost-benefit analysis and validation and retro-active adjustment in close to real conditions. Validation of the solutions including compliance with legal requirements, economic feasibility and environmental impact will push forward the three technologies tested and the related decision-making tool from TRL 3-4 to 7 for a rapid and easy market uptake contributing therefore to strengthen European companies’ competitiveness in an always more globalised and connected world.

Keywords: packed food sustainability,active and intelligent packaging,biodegradable packaging materials,food environmental foodprint