The second call for projects in the field of health technologies, launched by the Ministry of the Economy, jointly with the FNR and supported by Luxinnovation has been presented. Submissions are possible from 1 February with a project outline deadline of 31 March 2023, 14:00 CET.
Based on the strength of the first Joint Call HealthTech, the Ministry of the Economy, the FNR and Luxinnovation join again forces to further build the collaboration culture between companies, research and healthcare organisations to match HealthTech products or services at prototype stage with research and healthcare expertise to co-develop and validate these solutions at a clinical level for the benefit of patients and deliver leading innovation.
Goal of the call is the development and validation of innovative digital health solutions benefiting the national healthcare (patients, healthcare professionals, payers), research and innovation ecosystems.
Webinar on 1 February 2023
The Ministry of the Economy, the FNR and Luxinnovation are hosting a webinar on 1 February 2023 at 11:00am, which will explain how to prepare applications to respond to the Joint Call for HealthTech projects that will be open until 31 March 2023. The webinar will be an excellent opportunity to learn more about the objectives of the call as well as the process of preparing applications, and to ask questions. More info to follow.
Use of digital tools to improve prevention, diagnosis, monitoring or treatment of health conditions to improve public health or to increase patient autonomy, such as at home or in a care home environment
Products to be developed through this call must be innovative digital health solutions for human use that (1) are already at prototype stage and that can meet at least one of (2a) or (2b)
(2a) are or will be regulated by the medical device regulation (MDR) or in-vitro medical device regulation (IVDR). (Examples: digital medical devices, digital health applications, connected medical devices)
(2b) that will apply innovative data processing or analysis techniques on real world data from healthcare or care environments to prove a societal impact.
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