Dit ga je doen

Heart disease is the leading cause of death in women, yet millions with chest pain suffer from ANOCA, a condition caused by dysfunction of the coronary vessels that is often missed by standard diagnostic tests. As a result, patients can face years of uncertainty and repeated hospital visits before receiving a diagnosis, while the current gold-standard CFT test is invasive, costly, painful, and limited available.

In this PhD project, you will help develop the first blood-based test for ANOCA, combining next generation sequencing, multi-omics analyses, and advanced machine learning to diagnose the disease and identify its underlying subtype from a simple blood draw. This approach could reduce diagnosis time from years to weeks, replace unnecessary invasive procedures, lower healthcare costs, and enable earlier, more personalized treatment for a large and underserved patient population.

By integrating clinical, sequencing data, and circula...