SOURCE-LINKED INTELLIGENCE

INDIVIDUALISED CARE FROM EARLY RISK OF CARDIOVASCULAR DISEASE TO ESTABLISHED HEART FAILURE

CORDIS · observation · Publication date unknown

t of cohorts including >1,000,000 patients with a wide range of biomarkers (e.g. digital, blood, imaging). Anonymous access to data will be enabled by using a blockchain-supported federated database. Artificial intelligence-based modeling also considering patient relevant factors will assess changes in risk and stratify patients according to their individual responses to therapy. Results will then be prospectively validated in new and ongoing large cohorts and a pilot trial to test the prediction of treatment response by using multiple biomarkers going beyond current risk prediction (such as SCORE) towards individualized therapy. Results will be used to provide novel decision tools for each step targeting newly identified subgroups and as a blueprint for innovative future trials to individualise prevention and therapy. Patient involvement is key in every part of iCARE4CVD (e.g. patient advisory board, country-specific Patient Panels) to build a motivational framework for self-care by patients. The project brings together an EU-wide consortium with the needed resources and expertise f

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recordType

award

status

SIGNED

region

EU

value

9942458.81

unit

EUR