Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Our e-services for applications, projects and assessments close on Thursday 30 May at 4:30pm because of system upgrades. We expect to open them again on Friday 31 May at 8am the latest.

ASSET - AI for Sustainable Prevention of Autoimmunity in the Society

Reference number
Coordinator Diamyd Medical AB
Funding from Vinnova SEK 39 902 296
Project duration September 2021 - September 2026
Status Ongoing
Venture Innovation milieus in precision health
Call Innovation milieus in precision Health 2021

Purpose and goal

The innovation milieu ASSET (AI for Sustainable Prevention of Autoimmunity in the Society) aims to develop and evaluate new algorithms based on artificial intelligence (AI) for preventive precision medical treatments for type 1 diabetes and other autoimmune diseases. In parallel, ASSET will study the organizational and legal conditions for healthcare to apply the proposed precision health solutions in the Swedish healthcare system.

Expected effects and result

The project will answer both technical and organizational questions about whether and how it is possible to carry out screening of type 1 diabetes and other autoimmune diseases at national level as well as to preventatively treat individuals at a high risk of being diagnosed.

Planned approach and implementation

The project is divided into three main phases. 1) ASSET Development where the technical basis for the AI algorithm is laid and preparations for a pilot study are carried out, 2) ASSET Pilot where a prospective screening and prevention study is carried out based on the AI algorithm, and 3) ASSET Scale-up where lessons from the previous phases are implemented on a larger scale.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 11 October 2021

Reference number 2021-02684

Page statistics