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About the programme
Specific Objective 5 – Deployment and Accelerating the Best Use of Technologies promotes the roll-out and best use of digital capacities, prioritising areas such as the support of SMEs and public authorities in their digital transformation.
Under the 2025-2027 main work programme, the following aspects will be covered:
marie.timmermann@fwo.be
+32 2 550 15 59
Find the contact info on the site of WEWIS
The National Contact Points (NCPs) provide support, guidance, and practical information to potential applicants, helping them navigate funding opportunities and application processes.
The Programme Committee (PC) members represent their country in decision-making about the work programmes, evaluate implementation, and provide strategic input on priorities and calls.
Health EIT AI Continent Deployment: Best use of technologies
EIT Health’s Innovation Uptake Call focuses on mature digital, data-driven and AI-powered solutions and seeks to support the last steps towards commercialisation. Applicants must apply as a consortium of at least two independent legal entities from different countries. The consortium must include partners from at least two sides of the Knowl... read more
AI Continent Deployment: Best use of technologies
The Digital Europe project LDT4SSC (Local Digital Twins for Smart and Sustainable Communities) has launched an Open Call for Pilots to engage European local and regional authorities, as well as a wide range of stakeholders, including public administrations at local, regional, and national levels, businesses, technology developers, suppliers, r... read more
Infosheets contain edited content on aspects related to this programme. They are reviewed at least yearly.
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Funded under Horizon Europe’s Innovative Health Initiative (HORIZON-JU-IHI-2022-02-01) and running from 2023 to 2028, the iCARE4CVD project aims to improve patient care across the board, starting from those at risk of developing cardiovascular disease to those with advanced heart failure. Thomas More University of Applied Sciences plays an important role in the project focusing data analysis and AI modeling as well as on the implementation of Patient-Reported Outcome Measures and Patient-Reported Experience Measures. Find out more in the full article.
