In curATime, powerful players from science and industry with complementary skills are brought together to meet the challenge of tailoring the treatment of atherothrombosis-related cardiovascular diseases. The consortium uses artificial intelligence to identify disease-relevant factors that link to causes of atherothrombosis. Furthermore, the project aims to identify molecularly defined precision interventions and by applying these to be able to reduce the incidence and impact of cardiovascular diseases and therefore to significantly reduce mortality in the population.

The datamining group is involved in the subprojects curAIheart, curAIknow and curAIscid which are clustered in curAtech. Further information is provided on the Project Homepage.