The open call, funded under the Horizon Europe Framework Programme’s destination “Staying healthy in a rapidly changing society”, is aimed at enabling the understanding of areas of unmet need in NCDs prevention and providing new approaches for prevention, focusing on the digitally supported personalised dimension, that can be adopted and scaled up.

As a background, personalised prevention is the assessment of health risks for individuals based on their specific background traits, to recommend tailored prevention. Personalised prevention is ideally suited to the use of large data sets, computational and omics approaches, with design and use of algorithms, integrating in-depth biological and medical information, machine learning, artificial intelligence (AI) and ‘virtual twin’ technology, taking into account explainable and transparent AI.

Under this open call, the proposed research is expected to deliver on several of the following points:

• Develop tools and techniques to increase the efficiency and cost- effectiveness of on the one hand interventions, adjusting their scope, characteristics and resources, and on the other hand healthcare infrastructure and how it promotes and delivers health promotion, disease prevention, and care effectively to the different population groups.
• Design tools to collect various data to advance health promotion and disease prevention and strategies for providing omics essays for the general patient with a focus on cost-effectiveness and flexibility.
• Determine how to optimise the benefits of physical activity, smart monitoring of physical activity and sedentary behaviour with measurable data, addressing barriers to uptake and implementation of healthy lifestyles in daily life, understanding what promotion methods work and why, behavioural science to understand healthier choice environments. Balancing the ecosystem associated with the economic, social, and health consequences of NCDs. Affordability related consideration should be taken into account to ensure accessibility of new tools and techniques.
• Conduct data mining of real-world data and develop quantifiable and distinguishable indicators from wearables data, taking into account ‘light-weight’ AI means to ensure patient privacy and short reaction times.
• Demonstrate with a practical prototype on a given health challenge: from multimodal data collection to identification of an effective prevention strategy to be tested and validated for one or several NCDs.

DIGITAL SME has also launched a Community revolving around e-Health to support the participation of technology providers in the e-Health sector, please find more information here.

Funding:

• up to €12.000.000
• The indicative number of grants is 5