Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Towards evidence-based combinations of approved and novel cancer drugs (onCOMBINE)

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: Israel
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-10-01
End date: 2023-06-30
Duration (months): 69.0
Total project cost (EUR): 2488306.0
EU funding (EUR): 2488306.0
Participants: 1
Project status: SIGNED

Background: Molecular targeted therapy (TT; e.g., monoclonal antibodies, mAbs, and protein kinase inhibitors, PKIs) intercepts oncogene and other addictions of tumours. However, unlike chemotherapy, which employs cocktails of drugs, only rarely does TT harness poly-pharmacology. Because lung cancer is the major cause of oncology related fatalities and many driver mutations are known, this disease offers opportunities for establishing and generalizing novel TT combinations and their interface with the immune system. Working hypothesis: High granularity maps of compensatory loops evoked by TT, along with deeper understanding of mechanisms underlying drug action, resistance and interactions with lymphoid/myeloid cells, will conceptualize drug combinations able to persistently inhibit tumours, while inducing only limited toxicities. Goal and specific aims: Addressing resistance to TT, potential synergies and the immune system, we will employ lung cancer models driven by mutant EGFR, HER2, MET or AXL. Phosphoproteomics, transcriptomics and RNA interference, will enable mapping adaptations evoked by specific drugs. Once identified, we will test combinations of interceptors able to inhibit the primary target as well as the emerging, resistance-conferring route(s). Next, we will determine the mechanisms of action of selected interceptors (e.g., apoptosis, immunological cytotoxicity and senescence) as bases for optimising effective combinations. Homo-combinations of antibodies (i.e., antibodies recognising distinct epitopes of a receptor), hetero-combinations targeting distinct signalling and immune receptors, and combinations with PKIs will be examined in animal models. Significance: More than 30 PKIs and >25 mAbs are approved in oncology, but most are used as monotherapies. Detailed knowledge of adaptation-driven resistance, mechanisms of drug action and immune effectors, will guide the long awaited application of TT combinations in oncology, including lung cancer.

Keywords: cancer therapy,drug resistance,lung cancer,kinase inhibitors,monoclonal antibodies,tumour heterogeneity
Donating Robots a Theory of Mind (DoRoThy)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-07
End date: 2017-09-06
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

This project aims to advance the science and technology of meta-cognition in social robotics. During social interactions, humans use powerful cognitive mechanisms to represent and interpret what others know or intend. Doing so helps us respond appropriately in social interactions: we use a combination of sensory perception together with internal models of what others are (and will be) doing and thinking. We believe these capabilities to be equally important for social robots, a type of robot which is intended to interact with people. Endowing robot with skills to “read the minds” of others is not only key to build next-generation assistive and industrial robots, but also presents a considerable research challenge. A challenge with tremendous benefits but few successes to date. Relying both on a novel formal approach based on modal logics, and on a strong experimental component in real-world conditions, this proposal suggests an ambitious interdisciplinary approach to better comprehend and formalize higher-order artificial cognition. The aim of which is to advance the design and practical implementation of socially interactive robots, in line with the Horizon 2020 Future and Emerging Technologies priority of moving "cognition beyond problem solving".

Keywords: cognitive systems
Next Generation Multiphysical Models for Crystal Growth Processes (NEMOCRYS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

Crystalline materials are indispensable for the contemporary world and silicon crystals in particular have enabled the technological progress from first transistors to quantum computers. Such crystals are produced in high-temperature processes with a permanent demand to improve both material quality and efficiency of mass production. The high complexity of the growth processes involving various physical phenomena from electromagnetism to fluid dynamics as well as the limited possibilities of direct measurements make process optimization very challenging. Numerical simulation is often used, but due to limited accuracy of the models, experimental trial-and-error still dominates in practice as I have directly experienced while developing crystal growth methods both on research and industrial scales for more than a decade. There is a series of fundamental assumptions in multiphysical models that have been used for many crystal growth processes of various materials but have never been thoroughly validated. I propose to build a general experimental platform (MultiValidator) to address these challenges and, for the first time, to consider the complete physical complexity of a real growth process. A unique crystal growth setup will be developed for a model material (e.g., Ga) to enable low working temperatures, relaxed vacuum-sealing requirements and easy experimental access for various measurement techniques simultaneously (e.g., flow velocity and thermal stress fields). In this way, a new level of physical understanding and a new generation of multiphysical models for crystal growth processes will be established. The following paradigm change in the way how we observe, describe and develop crystal growth processes and similar complex multiphysical systems will minimize the necessary experimental cycles and open new horizons for a scientific analysis as well as for smart process control, for example, within the Industry 4.0 initiative.

Keywords: crystal growth,numerical simulation,multi physics,model validation,model experiment,heat transfer,fluid flow,measurement techniques
Beatik- Collaborative Digital Scores Platform for Classical Music (BEATIK)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-09-01
End date: 2020-03-31
Duration (months): 19.0
Total project cost (EUR): 1066417.5
EU funding (EUR): 746492.25
Participants: 1
Project status: CLOSED

Sheet music publishers have, for years, operated a business whose added value is principally printing and selling paper; 95% of classic music being out of copyright and free to be distributed by anyone. BEATIK is a 100% paperless solution for the use and distribution of music scores. Beyond simply representing the written music on a screen, the BEATIK app features our unmatched score-following and auto-scroll technology, and includes a host of other innovative tools for interactions between musicians working together in large groups. BEATIK will provide an integrated platform and eco-system to help all musicians and the institutions they belong to, such as orchestras, conservatoires and music schools, from performance preparation to sharing annotations and score distribution. This will greatly reduce the quantity of paper used in distributing sheet music, its storage and transportation, the cost of which currently average up to €150k annually / music institution. Our solution will considerable savings for organisations with many musicians, providing a tool to supersede paper scores and the limited digital scores solutions currently on the market. We forecast sales of €7.75M in year 3, with annual profit of 5.02 (EBITDA). After €1.07 million total investment, we estimate a Return on Investment (ROI) of 7.24 three years after the completion of this Phase 2 project. About REVINCLASSIC RevInClassic was established in September 2015 with the purpose of bringing digital tools into the realm of how classical musicians prepare and perform, by revolutionising their interactions with written music and managing their scores. The result is BEATIK. The RevInClassic team is a mixture of musicians, engineers and entrepreneurs, and have a close interaction with the orchestra of Spain’s premier opera house, Teatro Real de Madrid.

Keywords: music,sheet music,musical scores,musicians,paperless,score following,signal processing
Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points (COMFORT)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Fighting and adapting to climate change
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Iceland,Austria,Germany,Germany,Germany,Germany,Spain,India,South Africa,Switzerland,Switzerland,Sweden,Sweden,Sweden,Norway,Norway,France,France,France,United Kingdom,United Kingdom,United Kingdom,Canada,United Kingdom,United Kingdom,United Kingdom
Call: Addressing knowledge gaps in climate science, in support of IPCC reports (H2020-LC-CLA-2018-2, 2018)
Start date: 2019-09-01
End date: 2023-08-31
Duration (months): 48.0
Total project cost (EUR): 8482147.5
EU funding (EUR): 8191663.75
Participants: 33
Project status: SIGNED

COMFORT will close knowledge gaps for key ocean tipping elements under anthropogenic physical and chemical climate forcing through an interdisciplinary research approach. It will provide added value to decision and policy makers in terms of science based safe marine operating spaces, refined climate mitigation targets, and feasible long-term mitigation pathways. We will determine the consequences of passing tipping points in physical tipping elements for the marine carbon, oxygen, and nutrient cycles, as well as tipping points in biogeochemical tipping elements. The respective impact on marine ecosystems will be determined. Projections of the Earth system and impact studies have so far been carried out sequentially in a chain from scenarios to projections to off-line impact studies. This sequential workflow has hampered a quick response of the impact community back to revised scenarios and projections for tackling climate mitigation. COMFORT breaks new ground by bringing together experts from Earth system science, oceanography, fisheries science and ecology in a single integrated project who will work in parallel with a consistent set of analysis tools, scenarios, and interoperable models. The strength of COMFORT lies in the system-focused interdisciplinary approach as opposed to existing studies at the level of individual subsystems. The approach will be pursued with a firm link to stakeholders. COMFORT results will contribute to all four expected impacts for this call.

Keywords: oceanography,biogeochemistry,ocean acidification,deoxygenation,ecosystems,fisheries,climate mitigation,earth system modelling
The Process Improvement Explorer: Automated Discovery and Assessment of Business Process Improvement Opportunities (PIX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Estonia
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-09-01
End date: 2024-08-31
Duration (months): 60.0
Total project cost (EUR): 2349965.0
EU funding (EUR): 2349965.0
Participants: 1
Project status: SIGNED

Business processes are the operational backbone of modern organizations. Their continuous improvement is key to the achievement of business objectives, be it with respect to efficiency, quality, compliance, or agility. Accordingly, a common task for process analysts is to discover and assess process improvement opportunities, i.e. changes to one or more processes, which are likely to improve them with respect to one or more performance measures. Current approaches to discover process improvement opportunities are expert-driven. In these approaches, data are used to assess opportunities derived from experience and intuition rather than to discover them in the first place. Moreover, as the assessment of opportunities is manual, analysts can only explore a fraction thereof. PIX will build the foundations of a new generation of process improvement methods that do not exclusively rely on guidelines and heuristics, but rather on a systematic exploration of a space of possible changes derived from process execution data. Specifically, PIX will develop conceptual frameworks and algorithms to analyze process execution data in order to discover process changes corresponding to possible improvement opportunities, including changes in the control-flow dependencies between activities, partial automation of activities, changes in resource allocation rules, or changes in decision rules that may reduce wastes or negative outcomes. Each change will be associated with a multi-dimensional utility, thus allowing us to map a process improvement problem to an optimization problem over a multidimensional space. Given this mapping, PIX will develop efficient and incremental methods to search through said spaces in order to find Pareto-optimal groups of changes. The outputs will be embodied in a first-of-its-kind tool for automated process improvement discovery, which will lift the focus in the field of process mining from analyzing as-is processes to designing to-be processes.

Keywords: business process management,optimization
Functionalised Soft robotic gripper for delicate produce harvesting powered by imitation learning-based control (SoftGrip)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Ireland,Germany,Italy,Greece,Greece,United Kingdom
Call: Research and Innovation boosting promising robotics applications (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 2998955.0
EU funding (EUR): 2998955.0
Participants: 6
Project status: SIGNED

The fresh food industry is highly labour-intensive, with labour costs often contributing up to 50% of overall production costs. Pressure is growing to reduce production costs while facing major labour shortages. So far robotic automation for picking of delicate fresh produce has been impossible mainly due to the complex, contact-rich interactions involved in such tasks. SoftGrip will deliver an innovative soft gripper solution for the autonomous picking of delicate white button mushrooms cultivated on Dutch shelves. The versatility of the proposed solution will enable the adoption of the technology by other fresh-food industries experiencing similar stringent handling requirements such kiwifruit, grapes, etc. Towards this goal, our consortium will develop: (a) low-cost, soft robotic grippers having built-in actuation, sensing and embodied intelligence that enable reliable and efficient picking of mushrooms; (b) material synthesis and fabrication techniques that offer precise tuning of mechanical properties, comply with food-safe standards, allow for chemical recycling and offer self-repair properties; (c) a set of accelerated continuum mechanics modelling algorithms that facilitate real-time model-based control schemes, capable of being executed by limited computational resources. (d) advanced learning capabilities of the soft gripper through a learning by imitation framework comprising multi-task and meta-learning techniques, so that SoftGrip can be deployed with minimal programming effort. SoftGrip will enable a step change in efficiency, helping mushroom growers cut down on costs by >30% and increase their yields by >20% while also improving job quality in the industry. In the long-term, it will lower the barriers of robotics deployment open up new opportunities for adoption of robotic solutions in the agri-food sector.

Keywords: soft robotics,grasping,agri food,imitation learning,elastomeric materials,stress sensors,tactile sensors
Space-grade Opto-electronic Interfaces for Photonic Digital and Analogue Very-high-throughput Satellite payloads (SIPhoDiAS)

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,Germany,Switzerland,Greece,France,United Kingdom,United Kingdom
Call: Technologies for European non-dependence and competitiveness (H2020-SPACE-2019, 2019)
Start date: 2020-01-01
End date: 2023-06-30
Duration (months): 42.0
Total project cost (EUR): 2999042.5
EU funding (EUR): 2999042.5
Participants: 7
Project status: SIGNED

The satellite market experiences a paradigm shift with the rise of VHTS that is challenging the capabilities of existing SatCom systems. Under increasing capacity/flexibility and stringent SWaP requirements primes are embracing a technology migration relying on photonics. TAS is the first prime to introduce optical interconnects in a commercial digital processor and this is expected to open the opportunity for photonics penetration in every part of the satellite payload (P/L). However the current critical photonic building blocks fail to deliver the big promise for high-performance and low SWaP photonics-enabled VHTS. These are the opto-electronic (O/E) interfaces - transceivers, modulators and photodetectors - that are deployed in the highest volumes and connect equipment at the edge and within the payload. They suffer from limitations in speed, bandwidth, reliability and most importantly size and power consumption which are still off-target, while most of them are available from US. SIPhoDiAS aims to advance these components to address O/E performance, size and power and at the same time enhance their reliability and demonstrate flight-ready parts at TRL 7, enabling for the first time photonic P/L systems that hit the right SWaP targets. SIPhoDiAS will deliver the following impressive advancements: up to 224 Gb/s radiation hard transceivers 4.5x faster and 8.5x more energy efficient than state-of-the-art (SOTA), 50 GHz modulators 2 times smaller having 7 times more bandwidth per unit area than SOTA, 40 GHz photo-detectors 50% lighter, with 4.5 times more bandwidth per unit area and 66% better responsivity. Modules will be system integrated and tested in representative sub-systems to show optical interconnect demonstrators running 350% faster with 80% less power and 50% less mass and photonic-RF frequency converters extended up to Q/V band (40-50 GHz) at 50% less mass. SIPhoDiAS technoloy will be made in Europe and will contribute to the European SatCom roadmaps.

Keywords: optical intra satellite links,digital photonic payload,microwave photonic payload,optical transceivers,modulators,photo detectors,on board digital processor,photonic rf frequency converter
CDK6 in transcription - turning a foe in a friend (CDK6-DrugOpp)

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: Austria
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 2497520.0
EU funding (EUR): 2497520.0
Participants: 1
Project status: SIGNED

Translational research aims at applying mechanistic understanding in the development of "precision medicine", which depends on precise diagnostic tools and therapeutic approaches. Cancer therapy is experiencing a switch from non-specific, cytotoxic agents towards molecularly targeted and rationally designed compounds with the promise of greater efficacy and fewer side effects. The two cell-cycle kinases CDK4 and CDK6 normally facilitate cell-cycle progression but are abnormally activated in certain cancers. CDK6 is up-regulated in hematopoietic malignancies, where it is the predominant cell-cycle kinase. The importance of CDK4/6 for tumor development is underscored by the fact that the US FDA selected inhibitors of the kinase activity of CDK4/6 as "breakthrough of the year 2013". Our recent findings suggest that the effects of the inhibitors may be limited as CDK6 is not only involved in cell-cycle progression: ground-breaking research in my group and others has shown that CDK6 is involved in regulation of transcription in a kinase-independent manner thereby driving the proliferation of leukemic stem cells and tumor formation. We have now identified mutations in CDK6 that convert it from a tumor promoter into a tumor suppressor. This unexpected outcome is accompanied by a distinct transcriptional profile. Separating the tumor-promoting from the tumor suppressive functions may open a novel therapeutic avenue for drug development. We aim at understanding which domains and residues of CDK6 are involved in rewiring the transcriptional landscape to pave the way for sophisticated inhibitors. The idea of turning a cancer cell's own most potent weapon against itself is novel and would represent a new paradigm for drug design. Finally, the understanding of CDK6 functions in tumor promotion and maintenance will also result in better patient stratification and improved treatment decisions for a broad spectrum of cancer types.

Keywords: cdk6,transcription,oncology,tumor suppressor,new principles in drug development,targeted therapy,precision medicine,leukemia,rime