Brain imaging remains a key tool in diagnosis and patient selection for recanalisation. This project focuses on the innovative integration of multimodal clinical and imaging data to improve patient selection and outcome prediction in acute stroke. It utilises cutting-edge algorithms to analyse and interpret these combined datasets, aiming to improve the precision and speed of clinical decision-making. Leveraging deep learning, the project integrates various types of data—including demographic and clinical information, non-contrast CT scans, CT angiography, and CT perfusion—into a multi-modality model. This holistic approach facilitates the creation of a sophisticated computational framework that predicts patient outcomes more accurately by considering key factors such as age and severity of the stroke alongside neuroimaging. The advancements in computational techniques not only promise more precise prognoses but also support the customisation of treatment plans tailored to individual needs, which could decrease healthcare inequalities and enhance the effectiveness of stroke treatments across diverse populations. Moreover, more precise markers of treatment effect will be critical to upcoming trials of neuroprotective and recanalisation enhancing strategies.
Aims
Measuring treatment response in acute stroke using AI on multimodal data
Funding Notes
For academic year October 27/28;
Gates US applications (round 1) close 14th October 26, further information available via Gates Website;
Cambridge Trust, Gates Cambridge (round 2) deadline 8th December 26 to be eligible for funding. If you apply after the funding deadlines you will not be eligible for the Cambridge Funding competition, please indicate in your application all the funding you are eligible for. You can also check funding search.
Funding is not available for Lent or Easter 27 places as the funding deadline for these has already passed, you will need to have other funding in place to support your studies
Open Days
17 September 2026 - Multiple dates - University of Cambridge - Postgraduate College Visit Days - Cambridge (United Kingdom)
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