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In this talk, I will review the Disease Course Mapping method, which we have designed to learn disease progression models from multimodal longitudinal data sets. Once learnt, the model estimates the trajectory of changes from the historical data of any new individual and therefore forecast individual data at any future time-point. I will show how such predictions may be used to design more powered clinical trials.
