Towards a better understanding of cardio and cerebrovascular diseases

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Project Background: The MRC Unit for Lifelong Health and Ageing (LHA) is an interdisciplinary unit and our research combines rich imaging, clinical, physiological, and biological data from across the life course to help us lead on discoveries into both normal and pathological ageing processes. The Centre for Medical Image Computing gathers expertise from mathematical and computational sciences and medical physics to develop technologies applied to healthcare imaging in partnership with clinicians. Students will receive supervisory input from computer scientists, clinicians and data scientists and be integrated fully into the two units/centres. Funding is available for four research projects each focusing on important aspects of human health and disease. Broadly, each project will involve applying data science and machine learning techniques to physiological and imaging data to gain better insight into normal ageing and the disease process, with the overarching aim of improving prevention of cardio- and cerebro-vascular disease and cognitive decline and promoting healthy ageing.Research aims: Each of the projects will cover one of the following aims:Discover novel features in medical imaging (e.g. echocardiography, magnetic resonance) to predict major clinical outcomes (e.g. heart attack, hospital admission, death).Use novel remote monitoring techniques (e.g. wearable devices and mobile Health devices) to identify trends significantly impacting on long-term cardiovascular health.Develop new predictive models of cerebrovascular disease evolution based on brain MRI imaging and clinical data.Improve the understanding of the possible links between cerebrovascular lesions and cognition