Our work is focused on cardiovascular and neurovascular chronic diseases, with the aim to develop and apply methods to detect and quantify early diseases while reversible.
Our primary research goal is to build and apply integrative, individualised heart models based on patient data that are capable of early disease detection and prediction. This is most relevant to the epidemic of heart failure, a condition which currently lacks accurate methods of early measurement and diagnosis. Further priority research focuses on the development and application of the accurate measure of currently “invisible” brain damage, secondary to cardiovascular disease or chronic disorders. We aim to improve practices and therefore the outcome of disease progression.
By using imaging techniques to better understand cardiac disease, we hope to improve the accuracy and ease of diagnosis and use this knowledge to improve patient care.