Supporting a large set of early stage, high risk visionary science and technology collaborative research projects is necessary for the successful exploration of new foundations for radically new future technologies. Nurturing fragile ideas requires an agile, risk-friendly and highly interdisciplinary research approach, expanding well beyond the strictly technological disciplines.

The Type 1 Diabetes Program of The Leona M. and Harry B. Helmsley Charitable Trust has announced the launch of the Diabetes Data Innovation Initiative. The Trust has issued a request for proposals to identify high-potential projects and pioneering digital health solutions that could enable the integration of diabetes data to identify trends and develop personalized patient guidance and decision support for providers.

Mixed consortia of robot manufacturers and research institutes have the opportunity to apply for a total funding of 1.2 million Euros in a competitive process in order to develop small-scale test series as solutions for the given challenge. AQuAS (Agència de Qualitat I Avaluació Sanitàries de Catalunya), a public entity of the Catalan Department of Health, and Fundació Privada Sant Antoni Abat, a non-profit private foundation managing and developing innovation and research in healthcare, have defined the Comprehensive Geriatric Assessment (CGA) challenge.

The 2015 Call Challenge of the AAL Programme aims to fund ICT based innovative, transnational and multi-disciplinary collaborative projects with a clear market orientation that support older adults to live:

A series of calls in Horizon 2020 under Societal Challenge "Health, demographic change and wellbeing" with relevance to ICT for Health (eHealth) are now open: PHC-21-2015, PHC-25-2015, PHC-27-2015, PHC-28-2015, PHC-29-2015, PHC-30-2015.

The challenge is to harness the collaborative power of ICT networks (networks of people, of knowledge, of sensors) to create collective and individual awareness about the multiple sustainability threats which our society is facing nowadays at social, environmental and political levels.

Digital personalised models, tools and standards with application for some specific clinical targets are currently available. There is however a need for greater integration of patient information, for example of multi-scale and multi-level physiological models with current and historical patient specific data and population specific data, to generate new clinical information for patient management.