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Horizon 2020 - EU Partnering event on digital transformation in health & care

Posted on 31/08/2018

Expressions of interest are sought for our partnering event in Brussels on Tuesday 30th October.

Innovate UK, The Knowledge Transfer Network, Scotland Europa, and Enterprise Europe Network (EEN) will be delivering the Horizon 2020 – EU Partnering event in Brussels on Tuesday 30th October 2018 to establish consortia for working on two Horizon 2020 funding calls. The first funding call focuses on the use of Big Data and Artificial Intelligence for monitoring health status and quality of life after cancer treatment, and the second focuses on large scale pilots of personalised & outcome based integrated care. Innovate UK, KTN, EEN, and Scotland Europa are asking for submissions of expressions of interest to participate in the event.

The aim of the event is to facilitate the development of R&D project consortia for Horizon 2020 EU funded projects for the topics “DTH-01: Big Data and Artificial Intelligence for monitoring health status and quality of life after the cancer treatment” and “DTH-11: Large Scale pilots of personalised & outcome based integrated care”. The event is open to SMEs, larger companies, technology centres, universities and research organisations, and it will provide a platform for new commercial and technological collaborations.

If you’re looking to lead or participate in a collaborative R&D project for either of these calls, this event will give you access to opportunities with like-minded companies and research organisations. For instance, it will facilitate meeting new partners from industry and academia for collaboration, as well as allowing you to establish cross-border contacts and learn more about the research and innovation ecosystem in both countries.

To register for the event and for more information, including the agenda, please click here.

 

Further information on the Big Data and Artificial Intelligence challenge:

Accurate risk assessment, availability of genetic tests, timely diagnosis and effective treatment has created the impression of cancer being a chronic disease that can be cured. However, often rather aggressive treatment can cause physical and psychological problems that may cause long-term after-cure consequences such as similar or other types of cancer, other types of (chronic) diseases and affect the quality of life of a patient. Therefore, the importance of addressing and, if possible, preventing long-term effects of cancer treatment is growing. The use of big data can bring valuable information for monitoring health status and quality of life after the cancer treatment.

Proposals should focus and deliver on how to better acquire, manage, share, model, process and exploit big data. This would be through using high performance computing to effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment. Relevant solutions include systems for determining and monitoring the combined effects of cancer treatment, environment, lifestyle and genetics on the quality of life, enabling early identification of effects that can cause development of new medical conditions and/or impair the quality of life. Information can be collected from traditional sources of health data (cohorts, comprehensive electronic health records or clinical registries), from new sources of health data (mobile health apps and wearables) and from sources that are usually created for other purposes such as environmental data.

 

Further information on the pilots of personalised & outcome based integrated care challenge:

Senior people are statistically at greater risk of cognitive impairment, frailty and multiple chronic health conditions with consequences for their independence, their quality of life (and the one of their families) but also for the sustainability of health and social care systems. There is also increasing evidence that interactions with the environment play an important role in the evolution of the patient’s health status and condition. The challenge is now to foster secure, scalable and robust digital solutions for integrated care which will:

  • Ensure a truly personalized delivery of health and social care, whilst supporting outcomes-based significant efficiency gains in health and care delivery.
  • Promote a shift towards outcome-based delivery of integrated (health and social) care, which can be realised in a realistic operational, organisational and financial setting.
  • Ensure trust of users and policy makers with regard to data access, protection and sharing.
  • Design flexible but replicable solutions with a potential for financial sustainability, large scale deployment and further business and job creation opportunities.