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Active PROJECT GRANT Swedish Research Council

TEF HEALTH

520K kr SEK

Funder Vinnova
Recipient Organization Karolinska Institutet
Country Sweden
Start Date Dec 01, 2022
End Date Dec 31, 2027
Duration 1,856 days
Number of Grantees 1
Roles Principal Investigator
Data Source Swedish Research Council
Grant ID 2022-03128_Vinnova
Grant Description

Purpose and goal:

Through the program for a digital Europe (DIGITAL), the European Commission wants to increase the efficiency, resilience and sustainability of the EU´s healthcare system, and reduce inequalities in healthcare within the EU. AI and robotics are considered critical areas that need to be developed to reach this objective. TEF HEALTH call is part of the European Strategy for Artificial Intelligence (AI) which aims to optimize the development of AI and promote trust in and use of AI-based software and hardware solutions.

Expected results and effects:

By making available and combining unique infrastructures for exhaustive in vivo imaging, multimodal ex vivo profiling, and safe and AI-based combinations of these, the Swedish node (CIR, SciLifeLab and RISE) offers internationally competitive opportunities to help European SMEs identify, develop, support and accelerate new and improved precision health applications based on AI-based hardware and software solutions.

TEF-Health-konsortiet is expected to serve 500 TEF users by the end of the project and test a total of 5,000 solutions. Approach and implementation: TEF-health begins January 2023. Within the Swedish node, we will organize and make available: IN-VIVO imaging and EX-VIVO OMICS infrastructure, includaing platform access & expert support.

A full-service AI development platform, a DATA HUB including retrospectively collected data, a PRECISION DATA HUB including prospectively collected data, and an AI BUSINESS development lab.

Sweden contributes to all WPs, and leads WP9 Use cases and demonstrators, where we make Societal challenges, TEF applications, and SME solutions inventories; Use cases database and Demonstrator cases

All Grantees

Karolinska Institutet

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