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Horizon Europe Project

Updated: Jun 7, 2022

Update (07.06): we have now received a green light to go to round 2! Together with the consortium, we'll be submitting a full proposal in September. This will conclude stage 2/2.

We will keep you posted! We are delighted and honoured to have been invited into a Horizon Europe proposal led by NTNU Trondheim (Norwegian University of Science and Technology) called AI-Predict-Frailty (AI-PF): Artificial Intelligence to Predict Frailty! The proposal is yet to be approved by the EU.

Horizon Europe is the EU’s key funding programme for research and innovation with a budget of €95.5 billion. It tackles climate change, helps to achieve the UN’s Sustainable Development Goals and boosts the EU’s competitiveness and growth. The programme facilitates collaboration and strengthens the impact of research and innovation in developing, supporting and implementing EU policies while tackling global challenges and supports creating and better dispersing of excellent knowledge and technologies.

The aim of the proposal we are participating in, is to develop and validate a novel (first cycle), robust and trustworthy dynamic AI-based tool for citizens and health care personnel aimed at risk detection and prediction, progression estimation and self-management of sarcopenia and frailty. NTNU will develop several AI algorithms and software to create a prediction model and will test this in 3 countries: Norway, Italy and the United Kingdom. Zyberia has joined the consortium together with core partners with whom NTNU has successfully implemented previous Horizon Europe projects: University of Bologna, University of Manchester, Heidelberg University and Cronolife, just to mention a few partners. The call is a two-step application implying that for February 2nd a 10 page application was submitted for acceptance where we’ll await further information on possible continuation of the project. Zyberia’s role in the consortium is to support the participants included in the Norwegian testing site and also connect data with national and regional health care services and/or platform providers and GP offices. If and when approved, the project will run for a duration of 2 years.

About frailty and why it’s important for Zyberia to contribute:

Frailty is a devastating non-communicable disease (Medical diagnosis: 2022 ICD-10-CM CODE R54) which can be prevented through interventions such as physical activity, nutrition, improvements in social environment and increased knowledge (Puts et al. Age Ageing 2017; Money et al. PROSPERO 2021). Frailty is associated with poor health, dependence on care, and low quality of life. Between 35–50% of citizens aged 65+ are pre-frail (Sacha et al. Front Physiol 2017), a major risk factor for developing frailty, and about 50% of the 85+ population are frail (Cesari et al. J Am Med Dir Assoc. 2016). Frailty is a complex condition characterised by declines in multiple physiological systems, including impaired homeostatic reserve, reduced capacity to withstand stress and increased vulnerability to adverse health outcomes such as falls and fall-related injuries, hospitalisation, institutionalisation and death (Bauer et al. Exp Gerontol 2008; Fried et al. J Gerontol A Biol Sci Med Sci 2001).

With the help of our solution, HealthB - a two-way platform for both a patient and a health care provider enabling people to administer their own health data with the help of support tools and allows for co-creation with health care providers, we will support the streamlining of care services between primary and specialist care and offer disease awareness and health literacy (= health education) to patients to contribute in increasing their quality of life and support in prevention of adverse events, such as falls and institutionalisation.

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