AI-guided solutions for early detection of neurodegenerative disorders
Tuesday, May 25, 2021
15:00 UTC
Professor Zoe Kourtzi
Department of Psychology, University of Cambridge
Recording
Open recording
Hosted by Cambridge Neuro70 minutes
Abstract
Despite the importance of early diagnosis of dementia for prognosis and personalised interventions, we still lack robust tools for predicting individual progression to dementia. We propose a trajectory modelling approach that mines multimodal data from patients at early dementia stages to derive individualised prognostic scores of cognitive decline Our approach has potential to facilitate effective stratification of individuals based on prognostic disease trajectories, reducing patient misclassification with important implications for clinical practice.
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