Lynkeus is a strategy and business consultancy company, specialised in the exploitation of EU-funded projects, with a specific expertise on eHealth solutions, data analytics applied to healthcare, and relevant privacy and security issues.


    Lynkeus is in charge of the overall project coordination and management, of dissemination and exploitation activities, and is leading the research on societal and ethical aspects, besides being involved in the regulatory analysis and the blockchain development.


    The “Athena” Research and Innovation Center is an excellence in the Information and Knowledge Technologies sector.  


    Athena is leading the development of privacy preserving-data publication and -data flow execution engines. In addition, it will provide the API for privacy preserving data access, tools and methodologies for data profiling and curation and the advanced web based knowledge discovery and data analytics platform, besides participating in the design of the blockchain integration layer.


    IEIIT-CNR group deals with network and systems security aspects, analysing threats and mitigation technologies.


    CNR will take care of security aspects related to data storage, use and exchange, with definition of security policy, SoA security preservation and data protection analysis, design and implementation of the security system infrastructure (intrusion detection, network monitoring systems), and conducting the security and privacy violation tests for the penetration hacking challenge. is a business providing software and platform enabling user retrieval and usage of dispersed personal data and allowing for direct user permission requests from businesses.

  will provide the existing software and platform making the necessary amendments for health data import, creating additional user interface options, and enabling data access permission requests to individual libraries, also adding expertise on personal data, data normalisation and health value exchange.


    Gnúbila is a data privacy solution designer and independent software vendor, providing solutions to extract, de-identify, demilitarise and share medical sensitive data cross-enterprise and transnationally.


    Gnúbila will contribute to the overall privacy solutions integration and develop the blockchain platform handling consent and data transactions between the participating centres. It will provide support in the system architecture design, particularly in the blockchain-based developments.


    HES-SO (University of Applied Sciences Western Switzerland) is the largest university of applied sciences in Switzerland, with a strong experience in the domain of information sciences and software engineering.


    HES-SO will have a major role in the requirement analysis, identifying end-user needs, and in data sourcing and preparation, with construction of a data catalogue and normalisation of clinical data, while contributing to estimation of data value within the case-based retrieval engine.

    Panetta & Associati

    P&A is a leading Italian law firm which provides integrated legal and compliance services to domestic and multinational companies and industrial groups in all market sectors.


    Due to a specific expertise in IT security and compliance, P&A will be responsible for the “state of the art” analysis of the EU legislation and definition of the overall legal framework for the project implementation, in regard to architecture and data flows, dynamic consent, novel extensions, use cases and data processing

    Sba Research

    SBA Research is the Austria’s leading research centre dedicated to information security.


    SBA Research will contribute to the assessment of privacy and anonymization techniques, the overall system security and intrusion detection, and reactive methods such as watermarking and fingerprinting of datasets. In addition, it will perform an internal challenge to ensure the system security before the public penetration challenge, and contribute to data harmonisation and management.

    Siemens Healthcare Gmbh

    Siemens Healthcare is one of the world largest suppliers of technology to the healthcare industry and a leader in medical imaging, laboratory diagnostics, and clinical IT.


    Siemens Healthcare will be leading the prototypical implementation of advanced data analytics on anonymised and encrypted data, applications and tools for the exploitation of clinical data infrastructure, particularly physiological modelling for improving risk stratification and treatment outcome prediction.

    Transilvania University of Braşov

    The Department of Automation and Information Technology (Faculty of Electrical Engineering and Computer Sciences) of UTBV has a strong know-how in mathematical and data-driven (i.e. machine learning) human physiology simulation modelling and high performance computing for biomedical engineering.


    UTBV will be devoted to development of a personalized physiological model for clinical decision support, and computing of advanced privacy preserving solutions and semantic querying tools.


    The Charité – Universitätsmedizin Berlin is one of the largest university hospitals in Europe, involved in an interdisciplinary cooperation-based research in the areas of neuroscience, oncology, regenerative therapies, cardiology, immunology, and genetics.


    Together with other clinical partners, Charité will be involved in the clinical data provision to the blockchain, and contribute to the definition of use cases and user requirements.

    Ospedale Pediatrico Bambin Gesù

    OPBG is the main Italian paediatric hospital providing advanced health care and internationally renowned for basic, clinical and translational research.


    Founder of the Pediatric Cardiology Digital Repository, the ground project database, OPBG will contribute to the development of interfaces for personal data control and represent the “quality control” entity for health data assuring their availability, suitability and meaningfulness for research and clinical purposes.

    Queen Mary University London

    QMUL is one of the UK leading research-focused higher education institutes, also including the William Harvey Research Institute, a world leading pharmacological centre developing and directly providing a flow of innovative new therapies for heart disease.


    As the other clinical partners, QMUL will contribute to the blockchain with clinical data input, and to the analysis and definition of use cases and user requirements.

    University College of London

    UCL is a large academic university associated with the Great Ormond Street Hospital for Children NHS Foundation Trust and the Barts Heart Centre. UCL track record includes development of novel imaging methods and the integration of engineering, computer modelling and imaging for cardiovascular treatment.


    UCL will participate in the project with patient enrolment, input of clinical records, and by collaborating in the analysis and definition of use cases and user requirements.