Grant recipient
Simon Winther says: “It is well known that in addition to traditional clinical risk factors, early atherosclerosis is largely due to environmental and genetic factors. Symptoms of atherosclerosis are often indistinct; thus, many are unnecessarily examined for the disease. Conversely, many are overlooked with illness due to supposedly low risk, especially women. Our previous results show that genetic information improves the risk assessment markedly, especially in women. The purpose of my project is to develop a new personal risk profile for atherosclerosis based on machine learning results from large data sets and study the impact of advanced diagnostic test in patients with symptoms of atherosclerosis. This study will take the research further ahead by adding advanced protein measurements, coronary plaque burden assessment and blood perfusion analysis from advanced imaging tests. The ability to extract disease patterns from the large amount of data may revolutionize diagnostic management.”
Simon Winther
Improving the diagnosis of chronic coronary syndrome: Development of a new diagnostic strategy using personalized and digital medicine
Grant amount: DKK 9,998,220