Insights into the pathophysiology and risk of clinical events in vascular disease using imaging, AI, mathematics and engineering.
In atherosclerosis, inflammation, neovascularisation, hypoxia and calcification are drivers of plaque destabilisation and clinical events such as myocardial infarction and stroke. Conventional x-ray angiography does not provide information about the extent of these processes in the arterial wall, and as a consequence is a poor predictor of future events.
The aim of our research is to use non-invasive imaging to answer five related questions:
First, can we quantify the pathology of interest in the artery wall?
Second, can we track the effects of therapy on this process?
Third, can we use imaging to inform us about the biology of arterial disease?
Fourth, can imaging improve our predictions about the risk of future clinical events?
Finally, can we apply techniques from mathematics, AI and engineering to improve our results?
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