SOURCE-LINKED INTELLIGENCE

Optimize risk prediction after myocardial infarction through artificial intelligence and multidimensional evaluation

CORDIS · observation · Publication date unknown

Optimize risk prediction after myocardial infarction through artificial intelligence and multidimensional evaluation Myocardial infarction (MI) is a leading cause of death worldwide. After MI, long-term antithrombotic therapy is crucial to prevent recurrent events, but increases bleeding, that also impacts morbidity and mortality. Giving these competing risks prediction tools to forecast ischemic and bleeding are of paramount importance to inform clinical decisions, but their current precision is limited. Improve events prediction, by discovering novel and innovative markers of risk would have a tremendous impact on therapeutic decisions and patients outcome. I hypothesize that using innovative multidimensional information from wearable devices, biomarkers, behavioral patterns and non-invasive imaging, integrated through artificial intelligence computation, we may discover novel computational biomarkers of risk and improve current standards of ris

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

1405894

unit

EUR