KIMCL

The research goal is the improvement of risk prediction in cardiovascular disease. In epidemiological studies, the prognostic value of empirically determined combinations of biomarkers is investigated. A focus is the relationship between parameters of lipoprotein metabolism and biomarkers for inflammation, endothelial dysfunction, renal function, oxidative stress and atherosclerosis.

Funding: ca. 610.000 €, including 205.000 from peer-review projects

 

PI

Assoz.-Prof. Priv.-Doz. Dr.
Hubert Scharnagl 
T: +43 316 385 86030
Forschung

Current projects

  • TIMELY - A patient-centered early risk prediction, prevention, and intervention platform to support the continuum of care in coronary artery disease (CAD) using eHealth and artificial intelligence (EU Horizon 2020)
  • Meta-Analysis of cardiac biomarkers risk score in 40.000 individuals (industry cooperation)
  • The effect of PCSK9 Inhibition on the concentration and composition of LDL subfractions (industry cooperation)