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

What the Radiologist should Know about A…

This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible...

Hospital Diagnoses Critically Ill Childr…

The Rady Children’s Hospital (San Diego, USA) used Moon, software developed by the Leuven-based (Belgium) company Diploid. Moon is the first software worldwide to use Artificial Intelligence (AI) for the...

AstraZeneca Starts Artificial Intelligen…

AstraZeneca and BenevolentAI began a long-term collaboration to use artificial intelligence (AI) and machine learning for the discovery and development of new treatments for chronic kidney disease (CKD) and idiopathic...

Novartis Presents First-of-its-Kind Algo…

Novartis today announced results from a validation study of the innovative, algorithm-based digital solution MS Progression Discussion Tool, or MSProDiscussTM. The tool aims to support and facilitate a discussion between...

Bayer Joins Sensyne Health Consortium Wo…

Sensyne Health plc (LSE: SENS), the British clinical AI technology company, and Bayer, the life sciences company, announce that Bayer has become Sensyne Health's preferred pharmaceutical partner to work together...

Red Hat Helps Public Health England Use …

Red Hat, Inc. (NYSE: RHT), the world's leading provider of open source solutions, announced that Public Health England (PHE), an executive agency of the Department of Health and Social Care...

Chipmunk Health Chooses Philips HealthSu…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced that telehealth service provider Chipmunk Health, with locations in the Netherlands and Canada, is leveraging the capabilities...

Siemens Healthineers and European Societ…

With their first course under the heading "Intelligence. Innovation. Imaging - The perfect vision of AI," held in Barcelona on April 5-6, Siemens Healthineers and the European Society of Radiology...

Mobile Prenatal App Shown to Reduce in-P…

Using the mobile app Babyscripts reduced in-person prenatal care visits while maintaining patient and provider satisfaction, according to research published in JMIR mHealth and uHealth by physician researchers from the...

Belfast Based Startup to Develop a Mobil…

Liopa, a spin out of the Centre for Secure Information Technologies (CSIT) at Queen's University Belfast (QUB) has announced that it is to deliver a prototype patient/carer communications aid. It...