Tell us about your current research project
By harnessing complex, massive amounts of medical data more efficiently, Artificial Intelligence has the potential to discover new disease mechanisms, facilitate early diagnosis and optimise treatment strategy for chronic conditions such as multiple sclerosis. In our team, we are leveraging the power of AI to develop comprehensive tools for MRI scan analysis that are specifically designed to uncover and measure nuanced disease progression in MS before it manifests clinically, enabling early intervention to prevent future disability. These tools will transform traditional qualitative radiology reporting with accurate, quantitative measures of disease progression. Additionally, we are engineering a system capable of interpreting AI-generated MRI analyses in the appropriate clinical context by benchmarking against not only healthy populations, but also other people with MS with a comparable disease phenotype. We aim to deploy these systems, which will support 'precision’ patient management, on a considerable scale, integrating them into both research community platforms such as the MSBase Imaging Repository (MSBIR); and, in conjunction with our industry partners, we will translate these systems into practical clinical applications.