Open Call SC1-DTH-07-2018: Exploiting the Full Potential of in-Silico Medicine Research for Personalised Diagnostics and Therapies in Cloud-Based Environments

European CommissionThe progress in computer modelling and simulation applied in disease management is a European strength and various Decision Support Systems have been developed for different medical disciplines. While the market is developing today, addressing the need of more precise and personalised diagnostics and treatments, the proposed software tools and platforms often need to further conquer visibility and trust from users and investors to get implemented in the routine clinical practice. The access of researchers to high quality big data and in particular to clinical multi-disciplinary data is crucial for validating the use of new tools and platforms in the right practice context.

Through its new initiatives on digital health and care within the Digital Single Market policy, the European Commission aims at leveraging the potential of big data and high performance computing for the emergence of new personalised prevention and treatments for European citizens. The European Cloud Initiative will facilitate the access of researchers to the newest data managing technologies, High Performance Computing facilities to process data and to a European Open Science Cloud list of ICT services while ensuring the appropriate data safety and protection.

Shared infrastructures, data and services in open cloud-based environments will stimulate the virtual complex experimentations in medicine and the link between researchers and healthcare practitioners, for their common benefit.

Scope

Proposals are expected to develop and validate software tools and devices for diagnostic or treatment based on computational modelling and simulation applied in biology and physiology. The solutions should enable decision making in complex situations and contribute to a more precise and personalised management of diseases in order to reduce the burden of non-communicable diseases, such as cancer.

Computer-based decision making can apply to the choice of drugs, devices or other biomedical products, procedures, interventions, in vitro and in vivo diagnostics methods and tools, or combined diagnostics and treatments. In order to ensure access to large multi-disciplinary high quality data sets and diminish the shortage of relevant data, the teams are expected to use shared infrastructures and e-infrastructures, building on existing capacity and expertise and linking where possible with the European initiatives that manage databases relevant for personal health, such as BBMRI, ELIXIR or EATRIS, as well as with Centres of Excellences for computing applications in the area of biomedicine and bio-molecular research as appropriate. They should demonstrate access to the sufficient and relevant clinical data needed for advanced validations. The work should build on - and contribute to reusable data and computer models. Teams are encouraged to use EOSC services as appropriate and possible.

The Commission considers that proposals requesting a contribution from the EU of between EUR 10 and 15 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:

The proposal should provide appropriate indicators to measure its progress and specific impact in the following areas:

  • Better translation of big and multi-disciplinary data into predictors for medical outcome and personalised decision making;
  • New digitised trusted diagnostic and treatment tools, and contributing to digitising clinical workflows;
  • Improved disease management, demonstrated in the specific disease context;
  • Links to other European research infrastructure projects and networks operating in related domains;
  • Contribution to the emergence of a European Data Infrastructure for personalised medicine in the context of the DSM, notably by providing reusable data and computer models for personalised prevention and health treatments;
  • Better data quality, interoperability and standards.

Deadline: 24 April 2018 17:00:00

Deadline Model: single-stage

Type of action: RIA Research and Innovation action

For topic conditions, documents and submission service, please visit:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/sc1-dth-07-2018.html

PS: Find your partners or consortia preparing a project proposal
If you are working on Horizon 2020 research project proposals and you would be interested in a SME partner from Germany, please contact us, we are happy to share our experience, expertise and knowledge. If you need help to identify a potential partner with particular competences, facilities or experience, please join and explore our project, (HEALTH IT) SPACE, at www.healthitspace.eu.

Most Popular Now

A New Machine Learning Model can Classif…

Machine learning has improved dramatically in recent years and shown great promise in the field of medical image analysis. A team of research specialists at Dartmouth's Norris Cotton Cancer Center...

3D Child Welfare: How Data, Design and D…

Opinion Article by Rainer Binder, Managing Director, Global Employment and Social Services, Accenture Child welfare remains a pressing challenge for governments around the world, and the statistics are heart-breaking. In the...

Bringing more Human Intelligence to AI, …

The advent of data science, wireless connectivity and sensors, artificial intelligence (AI), and the Internet of Things (IoT) has raised the prospects for digital automation, smart hospital design and the...

HIMSS and Health 2.0 Take the Most Influ…

11 - 13 June 2019, Helsinki, Finland. The HIMSS & Health 2.0 European Conference will be held on 11 - 13 June 2019 in Helsinki, the capital of Finland. The conference...

DMEA 2019: International Exchange on Dig…

9 - 11 April 2019, Berlin, Germany. DMEA (formerly conhIT) is the industry's main event for digital healthcare. In that context, an international exchange of experiences and networking beyond national borders...

Scotland's Digital Health Leaders Recogn…

Scotland's digital health champions have been recognised for their achievements at the Holyrood Connect Digital Health and Care Awards 2019. William Edwards, director of eHealth at NHS Greater Glasgow and...

Philips to Expand its Radiology Informat…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced that it has signed an agreement to acquire the Healthcare Information Systems business of Carestream Health...

Three Winners of 2019 Sandoz Healthcare …

Sandoz, a Novartis division, announced the winners of the 2019 Sandoz Healthcare Access Challenge (HACk). Sandoz HACk invites entrepreneurs and innovators in the field of digital technology to submit ideas...

UK Sales of Xanax and other Prescription…

Sales of prescription psychiatric drugs such as Xanax and diazepam via darknet online drug markets have increased in the UK at an alarming rate, according to new research by the...

Study Finds Robots can Detect Breast Can…

Breast cancer is the most common cancer in women, and despite important improvements in therapy, it is still a major cause for cancer-related mortality, accounting for approximately 500,000 annual deaths...

Accenture Wins GLOMO Award for Virtual R…

The Accenture (NYSE: ACN) Virtual Experience Solutions (AVEnueS) has won "Best Mobile VR or AR" at the GSMA GLOMO Awards 2019. The award was presented at MWC19 Barcelona.