Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A next-generation platform for catalysing pre-clinical development of drugs against Alzheimer’s and other degenerative diseases of old-age (NEW-AGE)

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-2016 (ERC-2016-PoC, 2016)
Start date: 2017-02-01
End date: 2018-07-31
Duration (months): 18.0
Total project cost (EUR): 149961.0
EU funding (EUR): 149961.0
Participants: 1
Project status: CLOSED

Degenerative diseases of old age, including cardiovascular diseases, type II diabetes, and chronic respiratory conditions, have emerged as the major causes of death in EU countries. Of special concern are neurodegenerative conditions including Alzheimer’s and Parkinson’s, which have been described as the greatest unmet need facing modern medicine. Developing new therapies to slow, halt, or reverse these pathologies is regarded as a key element in addressing this global health priority. No such therapies have been successfully developed to date. A major unsolved challenge faced by drug discovery organisations is that for most degenerative conditions, there are no prognostic markers that can be used to predict whether a candidate therapy is likely to improve clinical outcome. Our solution to this problem exploits the fact that the pathogenesis and progression of all degenerative diseases is associated with oxidative stress. Oxidative stress thus makes an excellent potential prognostic biomarker, but it has been difficult to measure in vivo. Now, under the REDOX ERC Advanced Investigator Award, we have developed a portfolio of next-generation mouse models in which oxidative stress can be monitored at single-cell resolution across all organs. Moreover, the measurements can also be performed non-invasively and in real-time. We believe that these mice provides a new platform with unprecedented utility that can be used by drug-discovery organisations to accelerate, reduce the costs, and increase the predictive power of their pre-clinical pipelines for degenerative conditions. To support commercial exploitation of these models, we will: a) Show that our oxidative stress biomarkers are elevated in mouse models for two degenerative conditions, Alzheimer’s and Hutchinson-Gilford Progeria Syndrome. b) Demonstrate that the biomarker signals are reduced in mice administered therapies believed to be disease-modifying.

Keywords: oxidative stress,in vivo biomarkers,drug development,degenerative disease
Targeting the metabolism-immune system connections in Cancer (META-CAN)

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: Life Sciences
Countries involved: Austria,Spain,Israel,Austria,Spain,Belgium,France,France,France,Netherlands,United States,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-09-01
End date: 2021-08-31
Duration (months): 48.0
Total project cost (EUR): 3831957.72
EU funding (EUR): 3831957.7199999997
Participants: 21
Project status: CLOSED

Cancer cells show common features of profound metabolic changes and escape from the immune system, independently of their tissue of origin. These metabolic adaptations are not limited to glucose metabolism (the "Warburg effect") but are more general and affect several metabolic pathways in cancer cells as well as in the stroma, including immune cells. This network will explore how nutrients and hypoxia regulate the tumor-immune system interplay, and how this communication is controlled by oncogenes, metabolic regulators and current or potential drugs targeting metabolism. Understanding how metabolism can affect tumor cells and the anti-cancer immune response represents a potential therapeutic intervention point that can be exploited to develop novel therapies and new diagnostic and prognostic markers. The development of therapies targeting cancer metabolism is hampered by: 1) the complexity of the regulation that metabolism exerts on many different tumor layers, which requires multidisciplinary collaborations, and 2) the shortage of scientists that can navigate with ease between academic, industrial and clinical sectors and have the scientific and complementary skills to convert research findings into commercial and clinical applications. This network provides a pan-European interdisciplinary and intersectoral training program of excellence bringing young researchers together with World leading academics, clinicians, pharma industry members, corporate research and dissemination and outreach specialists. As part of the research training, the consortium will conduct a coherent and integrated set of hypothesis-driven research projects that are aimed at discovering, describing and exploiting how metabolism at the cell and the whole body levels is integrated with modulation of cell death susceptibility and the immune response in the context of cancer.

Keywords: cancer metabolism,cancer immunology,immunometabolism,cell death
Peptide based self-replicating coacervate protocells (PEPREP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-07-16
End date: 2021-07-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

One of the most fundamental questions in chemistry and biology is how a self-replicating protocell could form from collection of inanimate molecules. Self-replicating RNA molecules in lipid compartments have been widely studied, but these systems are inherently unstable and a plausible mechanism for their spontaneous formation and repeated replication is still lacking. Here, I propose to use coacervation of self-templating peptides as a radically new approach to create stable self-replicating protocells. We will use short peptide building blocks with aromatic and ionic side chains that are designed for self- or cross-recognition. The building blocks can dimerize through reversible or irreversible chemical bond formation, including disulfide, imine, alkene (metathesis) and peptide (native chemical ligation) bonds. Preliminary results indicate that these peptides spontaneously form coacervate droplets when dimerized. The coacervates enhance the self-replication by naturally concentrating the peptide building blocks, catalyzing the template-directed peptide dimerization and stabilizing the product. By periodic cycling of the solution temperature or pH, the coacervate protocells can be dissolved and recondensed, yielding an elementary system of self-replicating protocells. These coacervate protocells not only concentrate peptides, but also nucleotides, inorganic nanoparticles and pigments, creating a potent microreactor for prebiotic chemistry. Developing these model system will provide valuable insights in new prebiotically plausible pathways to self-replication and the origin of life.

Keywords: peptide,self replication,coacervates,protocells,evolution of life
Nanoparticles for Fluorescence-Enhanced Imaging and Therapy of Breast Cancer (NanoFEITH)

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: Cyprus
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-09-13
Duration (months): 24.0
Total project cost (EUR): 151648.8
EU funding (EUR): 151648.8
Participants: 1
Project status: CLOSED

Breast cancer (BC) represents a leading cause of cancer-related death in women worldwide, in large part due to ineffective detection and treatment. Nanotechnology offers new promise in mitigating BC mortality, by combining therapy with early diagnosis in “theranostic” nanoparticles (NPs). Here, a multidisciplinary approach is proposed to develop and evaluate novel theranostic NPs, which for the first time combine near infrared (NIR) metal-enhanced fluorescence (MEF) imaging with multimodal cancer treatment. MEF is a promising strategy for dramatically improving the low fluorescent signals of available NIR dyes, but limited MEF platforms for in vivo applications have been developed. Here, elongated gold (Au) NPs (nanobipyramids) with two sharp tips and tunable sizes/optical properties are expected to provide distinct advantages, including large fluorescence enhancement and increased tumour accumulation, thus enabling real-time in vivo imaging with high sensitivity and spatial resolution. Furthermore, BC photothermal therapy by the Au core will be combined with a chemotherapeutic drug-carrier surface coating, bearing pH-responsive lids to allow controlled drug and Zn ion release at the tumour site. Coordinated use of these modalities is expected to minimize systemic side effects, improve therapeutic efficacy and be useful in treating drug resistant tumours. Several complementary techniques, including computational modelling, 3D in vitro cell cultures, in vivo testing and advanced 3D imaging will be combined to characterize NP biodistribution, biocompatibility and passive vs. active tumour targeting. These will provide vital insights for the – still challenging – clinical translation of NPs in general, paving the way toward personalized nanomedicine. The proposed research/training will complement the Applicant’s skills in materials science with the Host’s expertise in cancer drug delivery to enhance his professional maturity and promote international collaborations.

Keywords: metal enhanced fluorescence imaging,multifunctional nanoparticles,nanobipyramids,hyperthermia,controlled drug release,breast cancer models
Automated scanner for kissing bond detection in friction stir welded materials (FrictionHarmonics)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Türkiye,Sweden,Greece,France,United Kingdom
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2018)
Start date: 2018-08-01
End date: 2021-05-31
Duration (months): 34.0
Total project cost (EUR): 2691936.13
EU funding (EUR): 2191242.13
Participants: 5
Project status: CLOSED

Friction Stir Welding (FSW) is a material joining technique that is a major breakthrough due to its substantial advantages compared to other techniques for welding aluminum alloys. This has allowed aircraft manufacturers such as Boeing to achieve 60% cost saving and reduce manufacturing time by 73% in aircraft models. This is only a fraction of what could be achieved. Despite its merits, FSW use is still limited due to a certain defect termed “kissing bond”. Kissing bonds reduce the stress-load resilience of FSW materials and are extremely difficult to detect. Thus, out of fear of low fatigue performance, aerospace and automotive manufacturers cannot leverage FSW to its full potential which translates to manufacturing cost savings of €1.6 billion, fuel savings of €1.9 billion and a reduction of 2 million tons of CO2, during the next 20 years. This gap gives rise to a unique business opportunity which Vermon (developer of nonlinear ultrasonic transducers) and RISE (expert in signal processing algorithms), IKH (high-tech SME specializing in human-machine interfaces and service robotics) along with Coskunoz (leader in FSW machinery with commercial presence in 4 continents) seek to seize with the aid of TWI (world class research institute who originally invented FSW) by commercializing FrictionHarmonics. FrictionHarmonics is the fruit of four years of R&D financed by private funds and public grants. It has already been validated in a relevant environment and is proved to detect kissing bonds of less than 0.3mm in diameter with 100% accuracy. We now need to finalize the system’s commercial version, certify it, and validate its performance in a complete FSW production line. Our primary target customers will be aerospace and automotive manufacturers in Europe and North America. To this end, we request a grant of €2.2m. Our aim is to grow our businesses by €33.44m in gross cumulative revenue, operating at a profit of €13.83m and generating 215 new jobs over the 5 years after market launch.

Keywords: friction stir welding,materials joining techniques,non destructive testing ultrasonic inspection,kissing bond detection,non linear ultrasonic testing nlut,aerospace and automotive manufacturing
Science journey in a world in transition(s) (SCI-TREK)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Belgium,Belgium,Belgium,Belgium
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020, 2020)
Start date: 2020-05-01
End date: 2021-04-30
Duration (months): 12.0
Total project cost (EUR): 316937.5
EU funding (EUR): 316937.5
Participants: 4
Project status: CLOSED

The SCI-TREK project aims to raise awareness about research and innovation that have the potential to shape tomorrow’s societies and impact citizen’s lives in the context of ongoing global societal, environmental and technological transitions (eg. adaptation to climate change, artificial intelligence, sustainable food systems, etc.). In order to bring researchers closer to the general public, all activities will be geared towards establishing a clear link between the research being promoted and the benefits it brings to society in this regard. As the acronym inspired by popular culture implies, the project will place participants at the heart of scientific journeys that might ultimately affect the way they think and live. The proposed actions will address children, teenagers, students and adults of all ages, taking into account the needs and expectations of each group.In order to successfully engage with its target audiences and bring them on a path of discovery alongside both Belgian and European researchers, SCI-TREK takes inspiration from traditional communication principles and popular culture festivals. For maximum impact and engagement, activities have therefore been designed with the following guiding principles in mind: "Make it personal and human", "Make it exciting and fun!", "Make it clear", "Make it European", and "Make it sustainable". Following these principles will help reach the following objectives: 1) Raise awareness about present and future societal, environmental and technological transitions, providing participants with evidence-based keys to understanding them; 2) Stimulate curiosity towards scientific subjects and generate interest in research careers among the young people; 3) Promote the scientific method to understanding and solving complex issues, in a context of mass information and weakening of expert opinion; 4) Foster dialog between researchers and citizens and reduce the stereotypes; 5) Promote European research and innovation.

Keywords: researchers,engagement,festival,science communication,citizens,society,sustainable development goals,responsibility,societal challenges,transitions,journey,discovery,passion
Circulating microRNAs in lynch syndrome (cmiRCan)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2024-02-29
Duration (months): 24.0
Total project cost (EUR): 202680.96
EU funding (EUR): 202680.96
Participants: 1
Project status: SIGNED

Blood-based cancer biomarkers have become important research targets and together with the recent development of liquid biopsy methods and analysis, they have become interesting future tools for cancer diagnosis. The cell-free small non-coding circulating RNA particles, namely microRNAs (c-miRs) that associate with cancer development, have been identified and tested to be used for cancer screening, diagnosis, tumor subtype classification, chemo- or radio-resistance monitoring, and outcome prognosis. Here we use whole serum c-miR clusters from patients with hereditary cancer syndrome, called Lynch syndrome, as a biomarker and we develop machine learning-based algorithms to diagnose and predict cancer occurrence in this patient cohort. We also functionally test how these c-miR clusters effect lynch syndrome linked to tumor growth. This interdisciplinary project combines clinical, cell biological and bioinformatic research and it will reciprocally transfer knowledge between research, Tiina Jokela and host institute, University of Jyväskylä and secondment institutes; University of Helsinki and Helsinki University Hospital. The proposed project support researcher Tiina Jokela to also gain transferable independent research skills and support her future career goal to become the leader of her own academic research group in the cancer research field.

Keywords: c mir,mirna,lynch syndrome,machine learning,patient derived organoids
EuroLab-4-HPC: Foundations of a European Research Center of Excellence in High Performance Computing Systems (EuroLab-4-HPC)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Coordination and support actions
Countries involved: Germany,Germany,Germany,Spain,Israel,Germany,Spain,Switzerland,Switzerland,Belgium,Greece,Sweden,Sweden,France,Netherlands,United Kingdom,United Kingdom
Call: HPC Ecosystem Development (H2020-FETHPC-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 1489981.25
EU funding (EUR): 1489980.75
Participants: 17
Project status: CLOSED

Europe has built momentum in becoming a leader in large parts of the HPC ecosystem. It has brought together technical and business stakeholders from application developers via system software to exascale systems. Despite such gains, excellence in high performance computing systems is often fragmented and opportunities for synergy missed. To compete internationally, Europe must bring together the best research groups to tackle the longterm challenges for HPC. These typically cut across layers, e.g., performance, energy efficiency and dependability, so excellence in research must target all the layers in the system stack. The EuroLab-4-HPC project's bold overall goal is to build connected and sustainable leadership in high-performance computing systems by bringing together the different and leading performance orientated communities in Europe, working across all layers of the system stack and, at the same time, fuelling new industries in HPC.

Keywords: computing systems,excellence in research,innovation,curriculum,roadmap
heteroGeneous integRated magnetic tEchnology using multifunctional standardized sTack (MSS) (GREAT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Israel,Romania,France,France,France,France
Call: Generic micro- and nano-electronic technologies (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2019-06-30
Duration (months): 42.0
Total project cost (EUR): 4539001.25
EU funding (EUR): 4539001.25
Participants: 10
Project status: CLOSED

The interest for developing smart systems based on interconnected objects is growing fast (50 billion objects connected in 2020). The main components of “Internet of Things” (IoT) devices are autonomous battery-operated smart embedded systems comprising communication circuits, sensors, computing/processing devices and storage. The key requirements are ultra-low power, high processing capabilities, fast/dense storage, wireless communication, heterogeneous integration, and autonomy. The different functions are so far implemented in separate chips/technologies, which is a bottleneck in terms of costs and miniaturization. To tackle the key issues of monolithic heterogeneous integration, fast yet low power processing, high integration density, fast yet low power storage, the goal of the GREAT STREP project is to co-integrate multiple functions like sensors (“Sensing”), RF receivers (“Communicating”) and logic/memory (“Processing/Storing”) together within CMOS by adapting the STT-MTJs (Magnetic devices) to a single baseline technology. This lead to a unique STT-MTJ cell technology called Multifunctional Standardized (MTJ) Stack (MSS), paving the way to 2.5D self-integrated heterogeneous architectures . The major outputs of GREAT are the technology and the architecture platform for IoT SoCs which provides better integration of embedded & mobile communication systems and a significant decrease of their power consumption. Based on the STT unique set of performances (non-volatility, high speed, infinite endurance and moderate read/write power), GREAT will achieve the same goal as heterogeneous integration of devices but in a much simpler way. The project final objectives are: fabrication of an advanced MSS technology test chip jointly with a system-level simulation and design of a representative M2M IoT platform integrating MSS. The consortium is composed of 9 EU partners led by CEA and of an Advisory Board comprising leaders in IP solutions, IoT, and mobile technologies.

Keywords: integration of heterogenous functions,digital,analog,system level simulation and design,internet of things,smart communication systems,power consumption,fabrication and packaging costs