search
The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
5 Projects, page 1 of 1

  • Canada
  • 2021-2021
  • European Commission
  • 2019
  • 2022

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824160
    Overall Budget: 4,206,390 EURFunder Contribution: 4,188,890 EUR
    Partners: UW, UCL, VISION BUSINESSCONSULTANTS, UNIGE, IIT, Durham University, QUALISYS, KTH, UM, UM...

    EnTimeMent aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis. EnTimeMent new innovative scientifically-grounded and time-adaptive technologies operate at multiple time scales in a multi-layered approach: motion capture and movement analysis systems will be endowed with a completely novel functionality, achieving a novel generation of time-aware multisensory motion perception and prediction systems. The proposed model and technologies will be iteratively tested and refined, by designing and performing controlled and ecological experiments, ranging from action prediction in a controlled laboratory setting, to prediction in dyadic and small group interaction. EnTimeMent scenarios include health (healing and support of everyday life of persons with chronic pain and disability), performing arts (e.g. dance), sports, and entertainment group activities, with and without living architectures. EnTimeMent will create and support community-building and exploitation with concrete initiatives, including a community of users and stakeholders, innovation hubs and SME incubators, as premises for the consolidation beyond the end of the project in a broader range of market areas.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825746
    Overall Budget: 8,770,020 EURFunder Contribution: 7,760,020 EUR
    Partners: DTU, UBC, EMBL, Institut Pasteur de Dakar, UMC, AMU, RI MUHC, UIS, University Hospital Heidelberg, ERASMUS MC...

    ReCoDID builds on existing infrastructures and partnerships to develop a sustainable model for the storage, curation, and analyses of the complex data sets collected by infectious disease (ID)-related cohorts. While ID cohorts collect both clinical-epidemiological (CE) and terabytes of OMICS data, storage and analysis of CE and high dimensional laboratory (HDL) data remains separate and developing the infrastructure for housing and analysing HDL data is not feasible for individual studies. In this project, we develop innovative approaches to the synthesis and analysis of CE&HDL data, and modify governance models for cloud-based repositories elaborated by and for scientists in high-income countries to meet the specific challenges of synthesizing CE&HDL data and sharing data across international cohorts and with the Open Science community. We develop data architecture and governance that link biobanks to data repositories to facilitate equitable use, collaborative, cross-domain analyses, and replicability. The team leverages partnerships with multicentre ID cohorts in the global South, and connects EU investments in OMICS infrastructures with Canadian expertise on pipeline and workflow development, biostatistical methods, and ethical and governance issues related to the establishment of repositories for CE&HDL data in resource-limited settings. Drawing from best practice and governance elaborated for similar initiatives, the repository will employ a federated model where a tiered permission system and cohort-specific hubs facilitate cohorts’ analysis of their own data, cross-cohort analyses, and connections with the open science community within a clearly elaborated legal, ethical, and equitable framework. The cloud-based platform will provide analytic tools and computational power to facilitate cross-domain, collaborative analyses that inform personalized medicine approaches to diagnostic, treatment, and vaccine development in ID-focused international cohorts.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825821
    Overall Budget: 8,505,680 EURFunder Contribution: 7,856,920 EUR
    Partners: PRES, LEITAT, BIU, INFINIDAT, time.lex, University of Haifa, ASCORA, MEDGENOME INC, GERMAN CANCER RESEARCH CENTER, AP-HP...

    Background: Many cutting-edge therapies rely on manipulating the adaptive immune system, which has evolved a vast diversity (repertoire) of immune receptors to recognize and remove pathogens and cancer cells. The sequence-data sets characterizing this Adaptive Immune Receptor Repertoire (i.e., AIRR-seq data) have the potential to revolutionize vaccine research and the development of therapies against autoimmune diseases and cancer; however, AIRR-seq data are typically stored and curated by individual labs, using a variety of tools and technologies. Sharing these data in a common way across disease studies, labs, and institutions around the world will improve our ability to recognize patterns in basic research and clinical trials, and increase our confidence in these patterns. The existing iReceptor Platform uses community-developed standards to facilitate sharing of AIRR-seq data by enabling queries across a system of distributed data repositories. Project: The iReceptor Plus consortium of researchers from Europe and Canada will address several key challenges to optimally sharing AIRR-seq data among public and industrial partners: protecting patient privacy and the intellectual property of partners, performing complex analyses on data brought together from many sources, and expanding the size and number of repositories that can be integrated in the network. Impact: The iReceptor Plus project will facilitate sharing of AIRR-seq data among multiple institutions, including biopharmaceutical companies and researchers working with human confidential data, across multiple diseases, treatments and populations. This will lead to a better understanding of the causes of infectious and autoimmune diseases and cancer, which can lead to early detection and suggest novel therapies. These improvements will reduce the social and economic burden of these diseases, advance Europe and Canada’s leadership role in immunotherapy, and contribute to improved patient care worldwide

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825835
    Overall Budget: 6,527,560 EURFunder Contribution: 5,999,450 EUR
    Partners: GERMAN CANCER RESEARCH CENTER, Charité - University Medicine Berlin, UPV/EHU, CNRS, FUNDACION PRIVADA INSTITUTO DEINVESTIGACION ONCOLOGICA DE VALL-HE, STICHTING HARTWIG MEDICAL FOUNDATION, STEINBEIS TRANSFER GMBH, University Hospital Heidelberg, HEIDELBERG ACADEMY OF SCIENCES AND HUMANITIES, Institute Curie...

    We propose to create the EUropean-CANadian Cancer network (EUCANCan), a federated infrastructure whose mission is to enable Personalized Medicine in Oncology by promoting the generation and sharing of harmonized genomic and phenotypic data. EUCANCan builds on work performed by members of the consortium and related projects to align and interconnect existing European and Canadian infrastructures for the analysis and management of genomic oncology data. The EUCANCan network will be composed of reference nodes in Amsterdam, Barcelona, Berlin, Heidelberg, Paris and Toronto which have established strong research and clinical programs in the field of genomic oncology. These reference nodes will work together in an interoperable fashion to provide the genomic oncology community with a uniform computing environment for the processing, harmonization and secure sharing of cancer genome and phenome data in the context of clinical research, enabling the discovery of clinically-relevant patterns of variation in the cancer genome such as biomarkers predictive of therapeutic response. The infrastructure will also provide a proving ground for federated genome analysis systems that may one day be integrated into national and regional healthcare systems. EUCANCan’s objectives are: (1) harmonise protocols for the identification and interpretation of germline and somatic variation profiles within cancer genomes; (2) generate strategies for the flow, management, storage and distribution of data within and across EUCANCan nodes; (3) define community standards for data elements, types and formats; (4) develop an open and accessible data portals for the searching and download of EUCANCan data; and (5) define an appropriate ethical and legal frame to ensure the secure sharing of protected individual genomic and phenotypic data across countries.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 826092
    Overall Budget: 2,437,770 EURFunder Contribution: 1,998,040 EUR
    Partners: HEALTH 2.0 LLC, UWO, Steinbeis 2i GmbH, CENTRE INTEGRE UNIVERSITAIRE DE SANTE ET DE SERVICES SOCIAUX DU CENTRE-SUD-DE-L ILE-DE-MONTREAL, APRE, GLOBAL SMES BUSINESS COUNCIL, ATC A.E., THU, GAC, INNO TSD...

    The aim of the IDIH project is to promote and increase international cooperation to advance digital health in the EU and key strategic countries to support active and healthy ageing through innovation. IDIH will identify shared priorities and set up a Digital Health Transformation Forum as a long-lasting and expert-driven catalyst to foster collaboration between the EU and five strategic third countries, i.e. Canada, China, Japan, South Korea and the USA. Overall, the IDIH project sets 4 targeted objectives. First, to support the definition of common priorities to enhance strategic international cooperation in digital health in line with policy orientations through a thorough analysis of priorities in Europe and each of the strategic third countries and close involvement of the relevant funding agencies. Secondly, to provide specific contributions to the international dialogue in digital health with the creation of a Digital Health Transformation Forum acting as umbrella for high-level experts in four thematic groups (Preventive care, Integrated care, Independent and connected living and Inclusive living). Thirdly, to facilitate the exchanges between RTI stakeholders from the EU and strategic third countries in digital health through international workshops, promotion of cooperation opportunities (guidebook, webinars, helpdesk) and joining forces with other initiatives. Fourthly, to foster international collaboration for digital solutions for health care benefitting the society and industry through networking and co-creation sessions in RTI workshops. The consortium partners have complimentary expertise, including healthcare & digital health, IT, H2020 project management, technology transfer etc. The consortium has close links to funding authorities and actors in the Digital Health Industry in all countries/regions and have wide networks in the community. As such, the consortium possesses expertise and tools to successfully realise the objectives of the project.

search
The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
5 Projects, page 1 of 1
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 824160
    Overall Budget: 4,206,390 EURFunder Contribution: 4,188,890 EUR
    Partners: UW, UCL, VISION BUSINESSCONSULTANTS, UNIGE, IIT, Durham University, QUALISYS, KTH, UM, UM...

    EnTimeMent aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis. EnTimeMent new innovative scientifically-grounded and time-adaptive technologies operate at multiple time scales in a multi-layered approach: motion capture and movement analysis systems will be endowed with a completely novel functionality, achieving a novel generation of time-aware multisensory motion perception and prediction systems. The proposed model and technologies will be iteratively tested and refined, by designing and performing controlled and ecological experiments, ranging from action prediction in a controlled laboratory setting, to prediction in dyadic and small group interaction. EnTimeMent scenarios include health (healing and support of everyday life of persons with chronic pain and disability), performing arts (e.g. dance), sports, and entertainment group activities, with and without living architectures. EnTimeMent will create and support community-building and exploitation with concrete initiatives, including a community of users and stakeholders, innovation hubs and SME incubators, as premises for the consolidation beyond the end of the project in a broader range of market areas.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825746
    Overall Budget: 8,770,020 EURFunder Contribution: 7,760,020 EUR
    Partners: DTU, UBC, EMBL, Institut Pasteur de Dakar, UMC, AMU, RI MUHC, UIS, University Hospital Heidelberg, ERASMUS MC...

    ReCoDID builds on existing infrastructures and partnerships to develop a sustainable model for the storage, curation, and analyses of the complex data sets collected by infectious disease (ID)-related cohorts. While ID cohorts collect both clinical-epidemiological (CE) and terabytes of OMICS data, storage and analysis of CE and high dimensional laboratory (HDL) data remains separate and developing the infrastructure for housing and analysing HDL data is not feasible for individual studies. In this project, we develop innovative approaches to the synthesis and analysis of CE&HDL data, and modify governance models for cloud-based repositories elaborated by and for scientists in high-income countries to meet the specific challenges of synthesizing CE&HDL data and sharing data across international cohorts and with the Open Science community. We develop data architecture and governance that link biobanks to data repositories to facilitate equitable use, collaborative, cross-domain analyses, and replicability. The team leverages partnerships with multicentre ID cohorts in the global South, and connects EU investments in OMICS infrastructures with Canadian expertise on pipeline and workflow development, biostatistical methods, and ethical and governance issues related to the establishment of repositories for CE&HDL data in resource-limited settings. Drawing from best practice and governance elaborated for similar initiatives, the repository will employ a federated model where a tiered permission system and cohort-specific hubs facilitate cohorts’ analysis of their own data, cross-cohort analyses, and connections with the open science community within a clearly elaborated legal, ethical, and equitable framework. The cloud-based platform will provide analytic tools and computational power to facilitate cross-domain, collaborative analyses that inform personalized medicine approaches to diagnostic, treatment, and vaccine development in ID-focused international cohorts.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825821
    Overall Budget: 8,505,680 EURFunder Contribution: 7,856,920 EUR
    Partners: PRES, LEITAT, BIU, INFINIDAT, time.lex, University of Haifa, ASCORA, MEDGENOME INC, GERMAN CANCER RESEARCH CENTER, AP-HP...

    Background: Many cutting-edge therapies rely on manipulating the adaptive immune system, which has evolved a vast diversity (repertoire) of immune receptors to recognize and remove pathogens and cancer cells. The sequence-data sets characterizing this Adaptive Immune Receptor Repertoire (i.e., AIRR-seq data) have the potential to revolutionize vaccine research and the development of therapies against autoimmune diseases and cancer; however, AIRR-seq data are typically stored and curated by individual labs, using a variety of tools and technologies. Sharing these data in a common way across disease studies, labs, and institutions around the world will improve our ability to recognize patterns in basic research and clinical trials, and increase our confidence in these patterns. The existing iReceptor Platform uses community-developed standards to facilitate sharing of AIRR-seq data by enabling queries across a system of distributed data repositories. Project: The iReceptor Plus consortium of researchers from Europe and Canada will address several key challenges to optimally sharing AIRR-seq data among public and industrial partners: protecting patient privacy and the intellectual property of partners, performing complex analyses on data brought together from many sources, and expanding the size and number of repositories that can be integrated in the network. Impact: The iReceptor Plus project will facilitate sharing of AIRR-seq data among multiple institutions, including biopharmaceutical companies and researchers working with human confidential data, across multiple diseases, treatments and populations. This will lead to a better understanding of the causes of infectious and autoimmune diseases and cancer, which can lead to early detection and suggest novel therapies. These improvements will reduce the social and economic burden of these diseases, advance Europe and Canada’s leadership role in immunotherapy, and contribute to improved patient care worldwide

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825835
    Overall Budget: 6,527,560 EURFunder Contribution: 5,999,450 EUR
    Partners: GERMAN CANCER RESEARCH CENTER, Charité - University Medicine Berlin, UPV/EHU, CNRS, FUNDACION PRIVADA INSTITUTO DEINVESTIGACION ONCOLOGICA DE VALL-HE, STICHTING HARTWIG MEDICAL FOUNDATION, STEINBEIS TRANSFER GMBH, University Hospital Heidelberg, HEIDELBERG ACADEMY OF SCIENCES AND HUMANITIES, Institute Curie...

    We propose to create the EUropean-CANadian Cancer network (EUCANCan), a federated infrastructure whose mission is to enable Personalized Medicine in Oncology by promoting the generation and sharing of harmonized genomic and phenotypic data. EUCANCan builds on work performed by members of the consortium and related projects to align and interconnect existing European and Canadian infrastructures for the analysis and management of genomic oncology data. The EUCANCan network will be composed of reference nodes in Amsterdam, Barcelona, Berlin, Heidelberg, Paris and Toronto which have established strong research and clinical programs in the field of genomic oncology. These reference nodes will work together in an interoperable fashion to provide the genomic oncology community with a uniform computing environment for the processing, harmonization and secure sharing of cancer genome and phenome data in the context of clinical research, enabling the discovery of clinically-relevant patterns of variation in the cancer genome such as biomarkers predictive of therapeutic response. The infrastructure will also provide a proving ground for federated genome analysis systems that may one day be integrated into national and regional healthcare systems. EUCANCan’s objectives are: (1) harmonise protocols for the identification and interpretation of germline and somatic variation profiles within cancer genomes; (2) generate strategies for the flow, management, storage and distribution of data within and across EUCANCan nodes; (3) define community standards for data elements, types and formats; (4) develop an open and accessible data portals for the searching and download of EUCANCan data; and (5) define an appropriate ethical and legal frame to ensure the secure sharing of protected individual genomic and phenotypic data across countries.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 826092
    Overall Budget: 2,437,770 EURFunder Contribution: 1,998,040 EUR
    Partners: HEALTH 2.0 LLC, UWO, Steinbeis 2i GmbH, CENTRE INTEGRE UNIVERSITAIRE DE SANTE ET DE SERVICES SOCIAUX DU CENTRE-SUD-DE-L ILE-DE-MONTREAL, APRE, GLOBAL SMES BUSINESS COUNCIL, ATC A.E., THU, GAC, INNO TSD...

    The aim of the IDIH project is to promote and increase international cooperation to advance digital health in the EU and key strategic countries to support active and healthy ageing through innovation. IDIH will identify shared priorities and set up a Digital Health Transformation Forum as a long-lasting and expert-driven catalyst to foster collaboration between the EU and five strategic third countries, i.e. Canada, China, Japan, South Korea and the USA. Overall, the IDIH project sets 4 targeted objectives. First, to support the definition of common priorities to enhance strategic international cooperation in digital health in line with policy orientations through a thorough analysis of priorities in Europe and each of the strategic third countries and close involvement of the relevant funding agencies. Secondly, to provide specific contributions to the international dialogue in digital health with the creation of a Digital Health Transformation Forum acting as umbrella for high-level experts in four thematic groups (Preventive care, Integrated care, Independent and connected living and Inclusive living). Thirdly, to facilitate the exchanges between RTI stakeholders from the EU and strategic third countries in digital health through international workshops, promotion of cooperation opportunities (guidebook, webinars, helpdesk) and joining forces with other initiatives. Fourthly, to foster international collaboration for digital solutions for health care benefitting the society and industry through networking and co-creation sessions in RTI workshops. The consortium partners have complimentary expertise, including healthcare & digital health, IT, H2020 project management, technology transfer etc. The consortium has close links to funding authorities and actors in the Digital Health Industry in all countries/regions and have wide networks in the community. As such, the consortium possesses expertise and tools to successfully realise the objectives of the project.