Pharaon’s overall objective is to make a reality smart and active living for Europe’s ageing population by creating a set of integrated and highly customizable interoperable open platforms with advanced services, devices, and tools including IoT, artificial intelligence, robotics, cloud computing, smart wearables, big data, and intelligent analytics. Platform interoperability will be implemented within Pharaon ecosystems and platforms, as well as other standardised platforms within health and other domains (energy, transport and smart cities). Pharaon will consider relevant standards and will contribute to them with the help of the two standardisation bodies of the consortium. Data privacy, cybersecurity, interoperability and openness will be key design principles to pursue through the requirements generated by Pharaon experts. Pharaon will be built upon mature existing state-of-the-art open platforms and technologies/tools provided by the partners, which will be customised and will implement cloud technologies, AI techniques and traditional algorithms for big data intelligent analytics. A user-centric approach will be followed. Pharaon will evolve based on the user feedback and the results from a MAFEIP framework that will be implemented for impact assessment. Both inputs will be used to find innovative solutions through two “open calls”: (1) single solutions, and (2) solutions to be demonstrated in small-scale pilots. Pharaon’s integrated platforms will be validated in two stages: pre-validation and large-scale pilots (LSPs), in six different pilot sites: Murcia and Andalusia (Spain), Portugal, The Netherlands, Slovenia and Italy. A team of partners in each pilot will ensure its right development. A set of development tools will be created and made publicly available to simplify the customisation and integration. These tools and the results of dissemination will spread the generated knowledge to promote the development of new solutions similar to Pharaon.

Euromix aim to develop an experimentally verified, tiered strategy for the risk assessment of mixtures of multiple chemicals derived from multiple sources across different life stages. The project takes account of the gender dimension and balances the risk of chemicals present in foods against the benefits of those foods. Important concepts for this new strategy are prioritisation criteria for chemicals based on their exposure and hazard characteristics and evaluation of the role of mode of action in grouping chemicals into cumulative assessment groups. In-silico and in-vitro tools will be developed and verified against in-vivo experiments, with focus on four selected endpoints (liver, hormones, development and immunology) to provide a full proof-of-principle. The EuroMix project will result in an innovative platform of bioassays for mixture testing and refined categorisation of chemicals in cumulative assessment groups. New hazard and exposure models will be embedded in a model toolbox, made available for stakeholders through an openly accessible web-based platform. Access to the web-based tools will be facilitated by training. Criteria will be set and guidance will be written on how to use and implement the tiered test strategy. Dissemination and harmonisation of the approach within EU, Codex Alimentarius, and WHO will be achieved by involving a.o. WHO and US-EPA in the project and by the participation of experts playing a key role in helping establish international food safety policies. It is expected that the new mechanism-based strategy, the bioassay platform, the openly accessible web-based model toolbox, and clear guidance on a tiered hazard and exposure test and risk assessment strategy will boost innovation in the public and private sector, provide a sound scientific basis for managing risks to public health from chemical mixtures, ultimately reduce the use of laboratory animals, and support the global discussion of risk assessment policies for mixtures.

Today’s rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. CrowdHEALTH will introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs will be transformed into Social HHRs communities capturing the clinical, social and human context of the population segmentation and as a result the collective knowledge for different factors depending on the communities formulation criteria (e.g. demographics, diseases, lifestyle choices, nutrition, etc). CrowdHEALTH will deliver a secure integrated ICT platform that seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders. CrowdHEALTH will develop policy modeling techniques to facilitate the inclusion of Key Performance Indicators (KPIs) in policies and the correlation of these KPIs both with all health determinants captured in HHRs and with information from other domains towards a “health in all policies” approach. Creation and co-creation (cross-domain) of policies will be feasible through a rich toolkit, which will be provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, as well as for compilation of predictions. Through the toolkit, multi-modal targeted policies addressing various time scales (long- / short- term), locations (area, regional, national, international), populations, and evolving risks will be realized. CrowdHEALTH will facilitate policies evaluation (on complete policy and per-KPI levels) and optimization through adaptive and incremental visualizations of simulations and outcomes of evidence based analysis of prevention strategies. CrowdHEALTH will collect data and will be validated through 5 pilots addressing different environments (care centers, social networks, public environments, living labs, diseases monitoring).