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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.

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

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.