Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology (CHIC)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Greece,Germany,Germany,Belgium,United Kingdom,United Kingdom,Greece,Germany,United States,United Kingdom,Italy,Switzerland,Belgium,Netherlands,United Kingdom,Italy
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-04-01
End date: 2017-03-31
Duration (months): 48.0
Total project cost (EUR): 13939060.0
EU funding (EUR): 10582000.0
Participants: 17
Project status: CLOSED

Developing robust, reproducible, interoperable and collaborative hyper-models of diseases and normal physiology is a sine qua non necessity if rational, coherent and comprehensive exploitation of the invaluable information hidden within human multiscale biological data is envisaged. Responding to this imperative in the context of both the broad Virtual Physiological Human (VPH) initiative and the paradigmatic cancer domain, CHIC proposes the development of a suite of tools, services and secure infrastructure that will support accessibility and reusability of VPH mathematical and computational hypermodels. These will include a hypermodelling infrastructure consisting primarily of a hypermodelling editor and a hypermodelling execution environment, an infrastructure for semantic metadata management, a hypermodel repository, a hypermodel-driven clinical data repository, a distributed metadata repository and an in silico trial repository for the storage of executed simulation scenarios. Multiscale models and data will be semantically annotated using the ontological and annotating tools to be developed. An image processing and visualization toolkit, and cloud and virtualization services will also be developed. The CHIC tools, services, infrastructure and repositories will provide the community with a collaborative interface for exchanging knowledge and sharing work in an effective and standardized way. A number of open source features and tools will enhance usability and accessibility. In order to ensure clinical relevance and foster clinical acceptance of hypermodelling in the future, the whole endeavour will be driven by the clinical partners of the consortium. Cancer hypermodels to be collaboratively developed by the consortium cancer modellers will provide the framework and the testbed for the development of the CHIC technologies. Clinical adaptation and partial clinical validation of hypermodels and hypermodel oncosimulators will be undertaken.

Keywords: multiscale model,repository,metamodel,hypermodel,cancer,in silico oncology,oncosimulator
Social situation-aware perception and action for cognitive robots (SPENCER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Germany,Germany,Netherlands,Sweden,France,Germany,Switzerland,Netherlands
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-04-01
End date: 2016-03-31
Duration (months): 36.0
Total project cost (EUR): 4264357.0
EU funding (EUR): 3179933.0
Participants: 8
Project status: CLOSED

SPENCER will break new ground for cognitive systems in populated environments. While there is an increasing focus on making robots more socially aware, related approaches are still limited in their capacity to perceive, model and learn human social behavior and respond with appropriate actions in real-time from mobile platforms. SPENCER will systematically address these problems and advance the fields of perception of individual humans and groups, normative human behavior learning and modeling, socially-aware mapping, and socially-aware task, motion and interaction planning under real-world conditions. In particular, by addressing these problems simultaneously in a multi-disciplinary project team, we will exploit synergies which will enable us to design cognitive systems that reach new levels of autonomy, efficiency, robustness, and safety in populated environments, optimizing the trade-off between objective and subjective performance measures. The project is motivated by an end-user market-pull and a technology-push. End-users seek innovative solutions to guide people and efficient mobile information provision. Robotics research meanwhile, has become suitably advanced to start considering humans as more than objects but as people with relationships, social rules and culturally diverse backgrounds. To this end, SPENCER will combine robotics research with social signal processing and socio-psychological user studies that will guide the learning process of socially normative robot behaviors into the relevant directions. The SPENCER consortium includes a large European airline as end-user that will deploy the SPENCER robotic demonstrator for the purpose of smart flow management of transfer passengers at the Amsterdam Schiphol Airport. This deployment has a large exploitation potential and is an excellent benchmark of the research developed in SPENCER given the demanding nature of airports as highly populated real-world environments.

Keywords: social robotics,human-robot-interaction,social signal processing,social psychology,human behavior perception,learning and modeling,socially-aware task and motion planning,service robotics.
Scalable Superconducting Processors for Entangled Quantum Information Technology (SCALEQIT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Sweden,Netherlands,Switzerland,France,Germany,Germany,Spain,United States
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 5942936.0
EU funding (EUR): 4500000.0
Participants: 8
Project status: CLOSED

The ScaleQIT vision is to “develop a conceptual platform for potentially disruptive technologies, advance their scope and breadth and speed up the process of bringing them from the lab to the real world.” ScaleQIT will address the engineering side of quantum information processing (QIP), analyzing and implementing realistic scenarios for scaling-up superconducting hybrid systems for quantum computing and quantum simulation. The work will be based on proven, well-functioning circuits and components that show great promise for integration into useful QIP systems. ScaleQIT will develop a quantum processor based on microwave resonators and waveguides coupling a small (5-10) number of superconducting qubits of the "transmon" type. It will achieve most of the functionalities required by DiVincenzo’s criteria, and will meet many of the challenges defined by the European Quantum Information and Processing Roadmap. For the development of a useful scalable platform, the ScaleQIT project will address a wide range of challenging issues, and take them far beyond the state of the art for multi-qubit platforms, addressing several central issues: feed-back and feed-forward control; error correction; quantum memory; quantum interfaces; algorithms and protocols for computing and simulation; design of scalable architectures for high performance quantum computing. ScaleQIT aims for groundbreaking applications to quantum simulation of physical systems. If successful, it may already in the short term have a disruptive effect on the development of quantum information science. In the longer term, it can be expected to have a disruptive effect on the science of computation: combining functional processor units with, say, 10 qubits, into larger distributed systems will eventually have simulation power that rivals that of powerful digital computers. By really building and testing larger quantum-engineering systems, ScaleQIT will be a path-finder on the road to developing solid-state fault-tolerant quantum architectures.

Keywords: quantum information,computing,simulation,engineering,platform,qubit,transmon,circuit quantum electrodynamics,hybrids,interface,memory,architectures,optimal control,protocols,algorithms
Smart collaboration between Humans and ground-aErial Robots for imProving rescuing activities in Alpine environments (SHERPA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Italy,Germany,Switzerland,Netherlands,Belgium,Sweden,Italy
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2017-03-31
Duration (months): 50.0
Total project cost (EUR): 11274026.0
EU funding (EUR): 8550000.0
Participants: 10
Project status: CLOSED

The goal of SHERPA is to develop a mixed ground and aerial robotic platform to support search and rescue activities in a real-world hostile environment like the alpine scenario. The technological platform and the alpine rescuing scenario are the occasion to address a number of research topics about cognition and control pertinent to the call. What makes the project potentially very rich from a scientific viewpoint is the heterogeneity and the capabilities to be owned by the different actors of the SHERPA system: the “human” rescuer is the “busy genius”, working in team with the ground vehicle, as the “intelligent donkey”, and with the aerial platforms, i.e. the “trained wasps” and “patrolling hawks”. Indeed, the research activity focuses on how the “busy genius” and the “SHERPA animals” interact and collaborate with each other, with their own features and capabilities, toward the achievement of a common goal. A mix of advanced control and cognitive capabilities characterize the SHERPA system, aiming to support the rescuer by improving his awareness of the rescue scene even in tough environments and with the “genius” often “busy” in the rescuing activity (and thus unable to supervise the platform). Thus emphasis is placed on robust autonomy of the platform, acquisition of cognitive capabilities, collaboration strategies, natural and implicit interaction between the “genius” and the “SHERPA animals”, which motivate the research activity. Five benchmarks, inspired by real-world scenarios, drive the research and motivate demonstration activities on realistic testing sites planned during the project. Seven top academic groups, two SMEs, and the Italian Association of Alpine Rescuers with the role of end-user and evaluator of the project outcomes for the specific application of search and rescuing in the alpine scenario compose the consortium.

Keywords: robotics for search and rescue mixed ground and aerial robots cognition and control distributed awareness robust control human-robot cooperative robotics automated planning knowledge representation
Virtual Physiological Human: Personalized Predictive Breast Cancer Therapy Through Integrated Tissue Micro-Structure Modeling (VPH-PRISM)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Austria,Germany,Netherlands,United Kingdom,Germany,United States,United Kingdom
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-03-01
End date: 2016-02-29
Duration (months): 36.0
Total project cost (EUR): 5167657.0
EU funding (EUR): 3720000.0
Participants: 10
Project status: CLOSED

Breast cancer is frequent and life threatening, but curable if detected early. Early detection and comprehensive characterisation of findings require optimized imaging and image understanding to maximise detection of significant disease while preventing overdiagnosis. Personalised predictive modeling of breast cancer allows treatment stratification, preventing unnecessary and unsuccessful treatments. VPH-PRISM addresses these key topics with integrated multidisciplinary, multi-scale ICT modeling of breast tissue microstructure in the context of environmental, genetic, and clinical factors. Key challenges include establishment of combined biomarkers from the automated analysis and spatial correlation of digital pathology and advanced breast imaging. Tissue characterisation includes the peritumoral stroma, a key in tumour progression and therapy response. Comprehensive clinical breast cancer phenotypes are extracted from prospectively collected multidisciplinary data. Interactions of environmental and genetic factors with specific breast tissue patterns are analysed in three large ongoing population-based imaging cohorts. A standard breast model enables efficient, combined statistical modeling of sparsely sampled and heterogeneous, large-scale data across disciplines, scales, structures, time and patients. Using the developed tools and models, and the data collected, we will: • improve estimates of tumour spread to aid surgery and assess chemo- and radiotherapeutic response • optimise multi-modal imaging methods through biophysical forward modeling of image formation for more efficient phenotyping and imaging biomarkers • predict personal risks for cancer progression and select optimal treatment strategies VPH-PRISM will provide a proof of concept for multidisciplinary model based discovery of environment-tissue interactions, quantitative drug efficacy assessment, surgery planning, and treatment outcome prediction at early and advanced stages of breast cancer.

Keywords: breast cancer,multidisciplinary multiscale modeling,computer aided diagnosis,digital histopathology-radiology correlation,modelling medical image acquisition,surgical planning,outcome prediction
DIACHRON – Managing the Evolution and Preservation of the Data Web (DIACHRON)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Luxembourg,Greece,France,Germany,Germany,Germany,Greece,United Kingdom,Iceland,United Kingdom,Germany
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-04-01
End date: 2016-03-31
Duration (months): 36.0
Total project cost (EUR): 6189690.0
EU funding (EUR): 4812308.0
Participants: 11
Project status: CLOSED

The Web has not only caused a revolution in communication; it also has completely changed the way we gather and use data. Open data -- data that is available to everyone -- is exponentially growing, and it has completely transformed the way we now conduct any kind of research or scholarship; it has changed the scientific method. The recent development of Linked Open Data has only increased the possibilities for exploiting public data. Given the value of open data how do we preserve it for future use? Currently, much of the data we use, e.g. demographic records, clinical statistics, personal and enterprise data as well as many scientific measurements cannot be reproduced. However, there is overwhelming evidence that we should keep such data where it is technically and economically feasible to do so. Until now this problem has been approached by keeping this information in fixed data sets and using extensions to the standard methods of disseminating and archiving traditional (paper) artifacts. Given the complexity, the interlinking and the dynamic nature of current data, especially Linked Open Data, radically new methods are needed. DIACHRON tackles this problem with a fundamental assumption: that the processes of publishing and preservation data are one and the same. Data are archived at the point of creation and archiving and dissemination are synonymous. DIACHRON takes on the challenges of evolution, archiving, provenance, annotation, citation, and data quality in the context of Linked Open Data and modern database systems. DIACHRON intends to automate the collection of metadata, provenance and all forms of contextual information so that data are accessible and usable at the point of creation and remain so indefinitely. The results of DIACHRON are evaluated in three large-scale use cases: open governmental data life-cycles, large enterprise data intranets and scientific data ecosystems in the life-sciences.

Keywords: linked data,open data,data diachronicity,data change management and preservation
A theoretical framework for swarms of GRN-controlled agents which display adaptive tissue-like organisation (SWARM-ORGAN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Spain,United Kingdom,Netherlands
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-03-01
End date: 2016-09-30
Duration (months): 43.0
Total project cost (EUR): 2877122.0
EU funding (EUR): 2221000.0
Participants: 5
Project status: CLOSED

The Swarm-Organ project focuses on systems containing large numbers of autonomous but relatively simple agents, whose goal is to collectively organise themselves into complex spatial arrangements despite each agent having only local awareness. This particular question is directly relevant to both biological morphogenesis, and to new paradigms of distributed technology such as robotic swarms and amorphous computing. Two levels of adaptation are either evident or required in these systems: (1) As the whole system changes over time, individual agents find themselves in different local situations and must adapt and adjust their behavior accordingly, for example dealing with conflict resolution and/or cooperation with neighbours. (2) The swarm must also adapt to the outside world (or the world it is embedded in) in various ways depending on its task – for example, coping with damage, maintaining functionality under changing environmental conditions, or tracking objects. A fundamental challenge in this field is how to design the local control system of each agent, and the Swarm-Organ project will extensively explore a specific approach – namely the use of GRNs (gene regulatory networks) – as a potentially powerful control method for these systems. By focusing on GRNs we will develop a theoretical framework about distributed adaptive control, which will be equally informative to both natural biological morphogenesis, as well as next generation technologies in robotics and computation.

Keywords: collective adaptive systems,multi-agent systems,distributed control,gene regulatory networks,swarm,morphogenetic robotics,amorphous computing
A fully automatic method and apparatus for economical and long-lasting patching of potholes (HOLEINONE)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SMEs
Action type: Research for the benefit of specific groups
Countries involved: United Kingdom,Spain,United Kingdom,Türkiye,Greece
Call:  (FP7-SME-2013, 2013)
Start date: 2014-10-01
End date: 2016-09-30
Duration (months): 24.0
Total project cost (EUR): 1424617.2
EU funding (EUR): 1115000.0
Participants: 7
Project status: CLOSED

Pothole repair in road networks is one of the most commonly performed operation for most road maintenance teams, especially in areas where cold winters and wet springs contribute to accelerated road surface breakup ever year. The poor condition and lack of maintenance of European roads contribute to at least one third of all accidents each year, and accounting to 52.7% of fatalities in 2011. Potholes also hold the distinction of being the most aggravating road distress to the traveling public in general. Pothole repair generally accounts for a significant portion of transportation departments’ operating budget, with more than €1,2 billion being directly attributed to fill nearly 20 million potholes in Europe during 2011, but only half of Europe's potholes were treated. This can be attributed to the high initial costs associated with maintenance activities, the historically poor performance of patching which often necessitates additional maintenance work, and the exorbitant safety and legal costs associated with the need for traffic control of these activities. As such, any improvements or advancements in this area could result in substantial cost savings. As a response to this need, a potholer repair method that will significantly reduce the direct costs (cost of repair) and indirect costs (cost of user compensation, traffic disrupts, etc.) associated with road maintenance activities is required. Specifically, increased effectiveness and better productivity during pothole repair and enhanced longevity of potholes use are required. The proposed solution is to develop a fully automatic, via robotic vision and computer-control, and adaptive, via an expert system, pothole repair system with integrated quality assurance mechanisms, as well as a new, robust patch material blend - an emulsified asphalt emulsion - that lend itself to the automatic process and demonstrates excellent performance.

Keywords: tarmac,road,maintenance,roadworks,safety,cars,vehicles
Exploitation of genomic variants affecting coronary artery disease and stroke risk for therapeutic intervention (CVGENES-AT-TARGET)

Framework: FP7 — Cooperation
Programme: Health
Destination: Translating research for human health
Action type: Collaborative project
Countries involved: Germany,United Kingdom,United Kingdom,Germany,Netherlands,Germany,Sweden,Germany,Switzerland,United Kingdom
Call:  (FP7-HEALTH-2013-INNOVATION-1, 2013)
Start date: 2013-10-01
End date: 2017-03-31
Duration (months): 42.0
Total project cost (EUR): 7876514.91
EU funding (EUR): 5995449.0
Participants: 13
Project status: CLOSED

Atherosclerosis and its most disabling sequelae, coronary artery disease (CAD) and stroke, are leading causes of death in Europe. Until now, preventive and therapeutic interventions for these diseases aim at ameliorating the effects of established cardiovascular risk factors. More recently, results of genome-wide association (GWA) studies added to our perception of mechanisms leading to atherosclerosis. At present, over 40 CAD and several genomic risk loci have been identified, the majority through efforts led by the applicants. Some genes at these loci work through known risk factors such as lipids and, in fact, are already established or evolving treatment targets. However, this is not true for the majority of risk variants, which implies that key pathways leading to atherosclerosis are yet to be exploited for therapeutic intervention. This EU network (CVgenes@target), which brings together an equal number of SME- and academic partners, will utilize genomic variants affecting atherosclerosis risk for identification of both underlying genes and affected pathways in order to identify, characterize, and validate novel therapeutically relevant targets for prevention and treatment of CAD and stroke. In programme 1 we will investigate molecular mechanisms at the genomic loci in order to further unravel causal genes, in programme 2 we will explore in vitro and in vivo whether the pathways disturbed by causal genes are suitable for therapeutic intervention, and in programme 3 we will establish assays and initiate high throughput screens to tackle therapeutically attractive targets. Our resources including large OMICs and state-of-the-art bioinformatics platforms as well as multiple, already established in vitro and in vivo models support the feasibility of the approach. In fact, two genomic risk loci (ADAMTS7 (CAD); HDAC9 (stroke and CAD)), both identified in GWA studies under direction of the applicants, already revealed attractive targets for therapeutic intervention.

Keywords: coronary artery disease,stroke,atherosclerosis,identification of treatment targets