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Call: AI-tools to predict the risk of chronic non-communicable diseases

Type of Fund Direct Management
Description of programme
"Horizon Europe - Cluster 1 - Destination 1: Staying healthy in a rapidly changing society"

Calls for proposals under this destination are directed towards the Key Strategic Orientation KSO-D ‘Creating a more resilient, inclusive and democratic European society’ of Horizon Europe’s Strategic Plan 2021-2024. Research and innovation supported under this destination should contribute to the impact area ‘Good health and high-quality accessible health care’ and in particular to the following expected impact, set out in the Strategic Plan for the health cluster: ‘citizens of all ages stay healthy and independent in a rapidly changing society thanks to healthier lifestyles and behaviours, healthier diets, healthier environments, improved evidence-based health policies, and more effective solutions for health promotion and disease prevention’. In addition, research and innovation supported under this destination could also contribute to the following impact areas: ‘High quality digital services for all’, ‘Sustainable food systems from farm to fork on land and sea’, and ‘Climate change mitigation and adaptation’.

People´s health care needs are different, depending on their age, stage of life and socio-economic background. Their physical and mental health and well-being can be influenced by their individual situation as well as the broader societal context they are living in. Furthermore, health education and behaviour are important factors. Currently, more than 790 000 deaths per year in Europe are due to risk factors such as smoking, drinking, physical inactivity, and obesity. Upbringing, income, education levels, social and gender aspects also have an impact on health risks and how disease can be prevented. Moreover, people´s health can be impacted by a rapidly changing society, making it challenging to keep pace and find its way through new technological tools and societal changes, which both are increasing demands on the individual´s resilience. In order to leave no one behind, to reduce health inequalities and to support healthy and active lives for all, it is crucial to provide suitable and tailor-made solutions, including for people with specific needs.

In this work programme, destination 1 will focus on major societal challenges that are part of the European Commission’s political priorities, notably diet and health (obesity), ageing and demographic change, mental health, digital empowerment in health literacy, and personalised prevention. Research and innovation supported under this destination will provide new evidences, methodologies and tools for understanding the transition from health to disease. This will allow designing better strategies and personalised tools for preventing diseases and promoting health, including through social innovation approaches. Specific measures will also be developed to educate and empower citizens of all ages and throughout their life, to play an active role in the self-management of their own health and self-care, to the benefit of an active and healthy ageing. In 2022, it will also call for proposals for improving the availability and use of artificial intelligence (AI) tools to predict the risk for onset and progression of chronic diseases. Key to achieving the expected impacts is the availability and accessibility of health data from multiple sources, including real-world health data, which will require appropriate support by research and data infrastructures, AI-based solutions, and robust and transparent methodologies for analysis and reporting.

Dialogue and coordination between stakeholders and policy makers as well as integration across different settings will be needed to develop more effective cross-sectoral solutions for health promotion and disease prevention and deliver improved evidence-based health for all.

In view of increasing the impact of EU investments under Horizon Europe, the European Commission welcomes and supports cooperation between EU-funded projects to enable cross-fertilisation and other synergies. This could range from networking to joint activities such as the participation in joint workshops, the exchange of knowledge, the development and adoption of best practices, or joint communication activities. Opportunities for potential synergies exist between projects funded under the same topic but also between other projects funded under another topic, cluster or pillar of Horizon Europe (but also with ongoing projects funded under Horizon 2020). In particular, this could involve projects related to European health research infrastructures (under pillar I of Horizon Europe), the EIC strategic challenges on health and EIT-KIC Health (under pillar III of Horizon Europe), or in areas cutting across the health and other clusters (under pillar II of Horizon Europe). For instance, with cluster 2 “Culture, Creativity and Inclusive Society” such as on health inequalities, on other inequalities affecting health, or on citizens’ behaviour and engagement; with cluster 4 “Digital, Industry and Space” such as on digital tools, telemedicine or smart homes; with cluster 5 “Climate, Energy and Mobility” such as on urban health or on mitigating the impact of road traffic accidents and related injuries; with cluster 6 “Food, Bioeconomy, Natural Resources, Agriculture and Environment” such as on the role of nutrition for health (incl. human microbiome, mal- and over-nutrition, safe food), personalised diets (incl. food habits in general and childhood obesity in particular) and the impact of food-related environmental stressors on human health (incl. marketing and consumer habits).[[Strategic Plan 2021-2024 of Horizon Europe, Annex I, Table 2.]]

Expected impacts:

Proposals for topics under this destination should set out a credible pathway to contributing to staying healthy in a rapidly changing society, and more specifically to one or several of the following impacts:

  • Citizens adopt healthier lifestyles and behaviours, make healthier choices and maintain longer a healthy, independent and active life with a reduced disease burden, including at old ages or in other vulnerable stages of life.
  • Citizens are able and empowered to manage better their own physical and mental health and well-being, monitor their health, and interact with their doctors and health care providers.
  • Citizens´ trust in knowledge-based health interventions and in guidance from health authorities is strengthened, including through improved health literacy (including at young ages), resulting in increased engagement in and adherence to effective strategies for health promotion, diseases prevention and treatment, including increased vaccination rates and patient safety.

Health policies and actions for health promotion and disease prevention are knowledge-based, people-centred and thus targeted and tailored to citizens' needs, and designed to reduce health inequalities.

Link Link to Programme
AI-tools to predict the risk of chronic non-communicable diseases
Description of call
"AI-tools to predict the risk of chronic non-communicable diseases"

Expected Outcome

  • Clinicians, medical professionals and citizens have access to and use validated AI tools for disease risk assessment. Hence, citizens are better informed for managing their own health.
  • Health care professionals utilise robust, trustworthy and privacy-preserving AI tools that help them to assess and predict the risk for and/or progression of chronic non-communicable diseases. Hence, citizens benefit from improved health outcomes.
  • Health care professionals develop evidence-based recommendations and guidelines for the implementation of AI-based personalised prevention strategies. Hence, citizens benefit from optimized health care measures superior to the standard-of-care.
  • Health care professionals employ quantitative indicators in order to identify and follow-up on individuals with high risk for the development and/or risk for the progression of chronic non-communicable diseases.


It is widely recognised that health systems must put more emphasis on prevention and adopt a person-centred approach. Artificial intelligence (AI) along with the increased availability of health data hold great potential to pave the way for personalised prevention and enable progress towards risk prediction and early detection of chronic non-communicable diseases.

This topic will support multidisciplinary research, build on broad stakeholder engagement and support proposals developing novel robust and trustworthy[1] AI tools to enable timely personalised prevention approaches for chronic non-communicable diseases/disorders. The topic does not exclude any diseases/disorders.

Proposals are expected to develop and test AI tools for assessing and predicting the risk of developing a disease and/or the risk of disease progression once it is diagnosed, taking into account the individuals’ (or groups) genotypes, phenotypes, life-style, occupational/environmental stressors and/or socio-economic and behavioural characteristics, as necessary. Sex and gender aspects should be considered, wherever relevant.

The AI tools may include a broad range of technological solutions on their own and/or in combination with other relevant state-of-the-art technologies (i.e. AI algorithms, mobile apps and sensors, robotics, e-health tools, telemedicine etc.)

Proposals should implement proof-of-concept studies to test and validate the performance of their AI tools in the real-world setting and compare their performance to the established practice.

The applicants should ensure that the AI tools developed are driven by relevant end-users/citizens/health care professionals needs. Therefore, the proposals are expected to introduce concrete measures for the involvement of the end-users throughout the AI development process and not only in the last phases of development. SME(s) participation is encouraged with the aim to strengthen the scientific and technological basis of SME(s) and valorise their innovations for the people’s benefit.

Proposals should address all of the following:

  • Leverage existing high-quality health-relevant data from multiple sources (i.e. cohorts, electronic health records and registries, taking into account the individual’s genotypic/phenotypic, medical, life-style, socio-economic, behavioural data etc.) and/or generation of new high-quality health data necessary for the rigorous development of the AI disease-risk tools.
  • Develop the adequate performance metrics to assess the technical robustness of the developed AI tools for risk assessment of disease and/or disease progression and in particular their accuracy, reliability, reproducibility and generalisability. Proposals should assess the possible inherent bias introduced to the AI tools originating from the data quality used for their development.
  • Develop the criteria to assess the effectiveness of the AI tools for disease risk assessment in terms of improving health outcomes and enabling personalised prevention strategies.
  • Implement proof of concept and/or feasibility studies to validate the AI tools for risk assessment of disease and/or disease progression in a relevant end-users environment and/or real-world setting and assess their performance in comparison to the standard-of-care.

Proposals should adhere to the FAIR[2] data principles and apply good practices for GDPR-compliant personal data protection. Proposals are encouraged to implement international standards and best practices used in the development of AI solutions.

Integration of ethics and health humanities perspectives to ensure an ethical approach to the development of AI solutions. In relation to the use and interpretation of data, special attention should be paid to systematically assess for gender and ethnic bias and/or discrimination when developing and using data-driven AI tools.

To ensure citizens’ trust, wide uptake by user communities and scalability of the solutions across clinical contexts, actions should promote the highest standards of transparency and openness of the AI tool, going well beyond documentation and extending to aspects such as assumptions, architecture, code and underlying data.

Applicants are highly encouraged to deliver a plan for the regulatory acceptability of their technologies and to interact at an early stage with the regulatory bodies, whenever relevant.

All projects funded under this topic are strongly encouraged to participate in networking and joint activities, as appropriate. These networking and joint activities could, for example, involve the participation in joint workshops, the exchange of knowledge, the development and adoption of best practices, or joint communication activities. This could also involve networking and joint activities with projects funded under other clusters and pillars of Horizon Europe, or other EU programmes, as appropriate. Therefore, proposals are expected to include a budget for the attendance to regular joint meetings and may consider to cover the costs of any other potential joint activities without the prerequisite to detail concrete joint activities at this stage. The details of these joint activities will be defined during the grant agreement preparation phase. In this regard, the Commission may take on the role of facilitator for networking and exchanges, including with relevant stakeholders, if appropriate.

Link Link to Call
Thematic Focus Clustering, Development Cooperation, Economic Cooperation, Research & Innovation, Technology Transfer & Exchange, Health, Social Affairs, Sports, Equal Rights, Human Rights, People with Disabilities, Social Inclusion, Community Integration, European Citizenship, Shared Services, Administration & Governance
Funding area EU Member States
Overseas Countries and Territories (OCTs)
United States of America
Origin of Applicant EU Member States
Overseas Countries and Territories (OCTs)
United States of America
Eligible applicants Education and Training Centres, Federal State / Region / City / Municipality / Local Authority, Research Institution, Lobby Group / Professional Association / Trade Union, International Organization, Small and Medium Sized Enterprises, SMEs (between 10 and 249 employees), Microenterprises (fewer than 10 employees), NGO / NPO, Public Services, National Government, Other, Start Up Company, University, Enterprise (more than 250 employees or not defined), Association
Applicant details

eligible non-EU countries:

  • countries associated to Horizon Europe
At the date of the publication of the work programme, there are no countries associated to Horizon Europe. Considering the Union’s interest to retain, in principle, relations with the countries associated to Horizon 2020, most third countries associated to Horizon 2020 are expected to be associated to Horizon Europe with an intention to secure uninterrupted continuity between Horizon 2020 and Horizon Europe. In addition, other third countries can also become associated to Horizon Europe during the programme. For the purposes of the eligibility conditions, applicants established in Horizon 2020 Associated Countries or in other third countries negotiating association to Horizon Europe will be treated as entities established in an Associated Country, if the Horizon Europe association agreement with the third country concerned applies at the time of signature of the grant agreement.

  • low-and middle-income countries

Legal entities which are established in countries not listed above will be eligible for funding if provided for in the specific call conditions, or if their participation is considered essential for implementing the action by the granting authority.

Specific cases:

  • Affiliated entities - Affiliated entities are eligible for funding if they are established in one of the countries listed above.
  • EU bodies - Legal entities created under EU law may also be eligible to receive funding, unless their basic act states otherwise.
  • International organisations - International European research organisations are eligible to receive funding. Unless their participation is considered essential for implementing the action by the granting authority, other international organisations are not eligible to receive funding. International organisations with headquarters in a Member State or Associated Country are eligible to receive funding for ‘Training and mobility’actions and when provided for in the specific call conditions.
Project Partner Yes
Project Partner Details

Unless otherwise provided for in the specific call conditions , legal entities forming a consortium are eligible to participate in actions provided that the consortium includes:

  • at least one independent legal entity established in a Member State;and
  • at least two other independent legal entities, each established in different Member States or Associated Countries.
Further info

Proposal page limits and layout:

The application form will have two parts:

  • Part A to be filled in directly online  (administrative information, summarised budget, call-specific questions, etc.)
  • Part B to be downloaded from the Portal submission system, completed and re-uploaded as a PDF in the system
This call is subject of a two-stage procedure. In the first stage, applicants will be requested to submit only an outline application (which will be evaluated against only two award criteria: ‘Excellence’ and ‘Impact’). Successful applicants will be invited to submit a full application for the second stage (which will be evaluated against the full set of award criteria).

Page limit - part B: 45 pages - The limit for a first-stage application is 10 pages.
Type of Funding Grants
Financial details
Expected EU contribution per projectThe Commission estimates that an EU contribution of around EUR 6.00 million would allow these outcomes to be addressed appropriately. Nonetheless, this does not preclude submission and selection of a proposal requesting different amounts.
Indicative budgetThe total indicative budget for the topic is EUR 6.00 million.
Typ of ActionResearch and Innovation Actions
Funding rate100%
Submission Proposals must be submitted electronically via the Funding & Tenders Portal Electronic Submission System. Paper submissions are NOTpossible.

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