Open Call SC1-PM-04-2016: Networking and Optimising the Use of Population and Patient Cohorts at EU Level
Proposals should aim at maximizing the exploitation of cohorts by bringing together national and/or European cohorts with common scientific interests (e.g. across diseases, children, mothers, elderly, birth, gender, etc.), and by taking advantage of new technologies (e.g. ICT, social platforms, etc.) and new type of data (e.g. geographical, genetic, eHealth records, etc.). Based on those cohorts using a comprehensive integration strategy to facilitate hypothesis-driven research, data sharing, harmonisation and analysis, proposals should provide expanded resources and knowledge on health and disease determinants, onset and course of diseases (including aspects of co-morbidity and/or co-infections), clinical, public health and socio-economic research. Synergies with relevant existing European infrastructures and additional collaborations with relevant international initiatives are encouraged. Proposals should also engage with relevant international/national/regional authorities to ensure that findings are implemented and translated into health policy.
The Commission considers that proposals requesting a contribution from the EU of between EUR 8 and 10 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts. Expected Impact:
Expected impacts include one of or a combination of the following point(s):
- Make major conceptual, methodological and analytical contributions towards integrative cohorts and their efficient exploitation.
- Contribute to providing novel information on health maintenance, onset and course of diseases, or population stratification, with a view to tailor diagnosis or to optimise prevention and treatment.
- Provide the evidence base for the development of policy strategies for prevention, early diagnosis, therapies, health economics as well as addressing health inequalities. Wherever relevant, evidence for economic evaluation of interventions should also be included.
- Optimise the use of population cohorts in defining/improving clinical practice and public health policy.
Deadline Date: 13 April 2016 17:00:00 (Brussels local time)
Type of action: RIA Research and Innovation action.
For topic conditions, documents and submission service, please visit:
Find your partners or consortia preparing a project proposal
If you need help to identify a potential partner or consortia with particular competences, facilities or experience, please join Health IT Space at http://www.healthitspace.eu
Health IT Space is the first social networking platform for Health IT Professionals and Stakeholders. Explore the list of all Health IT Space registered members at http://www.healthitspace.eu/network/members
Most Popular Now
You might not want to depend on your smartphone app alone to help you avoid or achieve pregnancy, say the authors of a new study. A review of nearly 100 fertility awarene...Read more
What have the best brains of Europe come up with to improve health and wellbeing with the help of Information and Communication Technology (ICT)? This report offers an ...Read more
Machine learning is a type of artificial intelligence that allows computer programs to learn when exposed to new data without being programmed. Now, researchers in The Ne...Read more
Wearable devices can give away your passwords, according to new research. In the paper "Friend or Foe?: Your Wearable Devices Reveal Your Personal PIN" scientists from Bi...Read more
A clinical trial testing mobile videoconferencing as a means for physicians to diagnose stroke patients while they're being transported to the hospital has found that a t...Read more
That's the question Drexel University researchers hope to answer with one of two new studies launching this month. They have developed a computer game and smartphone app ...Read more
Royal Philips (NYSE: PHG, AEX: PHIA) has signed a licensing agreement with Visiopharm to offer their breast cancer panel software algorithms  with Philips IntelliSite ...Read more
Imagine a companion who is able to constantly motivate you, actively encourages you and changes your bad habits into healthy ones. A companion who is always present and w...Read more
Scientists at the Montreal Neurological Institute and Hospital have used a powerful tool to better understand the progression of late-onset Alzheimer's disease (LOAD), id...Read more