Horizon Europe: Cluster 1 ‘Health’ Calls overview

Destination 5

There are six destinations under the ‘Health’ cluster in the ‘Global Challenges and European Industrial Competitiveness’ pillar of the Horizon Europe programme. On this page you can find summaries of the two-stage call under the ‘Health’ cluster’s Destination 5 – Unlocking the full potential of new tools, technologies and digital solutions for a healthy society.

‘Health’ Cluster: Destination 5

Technological development represents a key driver for innovation in the health sector. Therefore, calls under Destination 5 aim to unlock and harness the potential of technology. In order to achieve this, we must develop our capacity to collect, integrate and interpret large amounts of data. Furthermore, we must ensure this occurs in compatibility with regulatory frameworks and infrastructures.

The calls under Destination 5 are especially relevant to the success of the Strategic Plan for the ‘Health’ cluster: “Health technologies, new tools and digital solutions are applied effectively thanks to their inclusive, secure and ethical development, delivery, integration and deployment in health policies and health and care systems”.

Health Destination 5 aims

Health Destination 5 will promote the development of tools, technologies and digital solutions for treatments, medicines, medical devices and improved health outcomes, taking into consideration safety, effectiveness, appropriateness, accessibility, comparative value-added and fiscal sustainability as well as issues of ethical, legal and regulatory nature.

Destination 5 – Two-stage Calls 2022:

HORIZON-HLTH-2022-TOOL-12-01-two-stage: Computational models for new patient stratification strategies (RIA)

Subsidy: €6M

Total budget: €60M

Deadline: First stage: 1 February 2022; second stage: 6 September 2022

Scope: In the era of big and complex data, the challenge remains to make sense of the huge amount of health care research data. Importantly, computational approaches hold great potential to enable superior patient stratification strategies to the established clinical practice. In turn, these are a prerequisite for the development of effective personalised medicine approaches.

The proposals may include a broad range of solutions, such as computational disease models, computational systems medicine approaches, machine-learning algorithms, Virtual Physiological Human, digital twin technologies and/or their combinations, as relevant. The topic covers different stages in the continuum of the innovation path (i.e. translational, pre-clinical, clinical research, validation in the clinical and real-world setting, etc.), as relevant to the objectives of the proposals.

Read the call infosheet to learn more



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