Medicine, Nursing and Health Sciences

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Research Projects

School/Institute

AI-estimated age using optical coherence tomography to predict disease progression and cognitive function in multiple sclerosis.

Age-related biomarkers such as telomere length and ‘brain age’ have shown accelerated biological aging and are associated with the accumulation of...

Supervisor: Dr Daniel Merlo

Using a digital cognitive platform to identify long-term cognitive change trajectories in people living with multiple sclerosis.

Declining cognitive function is common in multiple sclerosis (MS) and routine cognitive testing is critically needed in MS care. However,...

Supervisor: Dr Daniel Merlo