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An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.

<23>Totally new approach to disease progression modelling through generative modelling and machine learning. The sequences of events that define and distinguish different neurological diseases are questions of intense current debate in neurology and a primary motivator for international $100M initiatives such as ADNI adni.loni.ucla.edu. This approach provides unprecedented new level of detail in our understanding of temporal disease progression. Experiments demonstrate the technique on Alzheimer's and Huntington's disease cohorts. Now taken up via collaboration with both the ADNI and DIAN www.dian-info.org consortia with follow-up EPSRC funding. The preliminary conference publication won the prestigious Erbsmann prize at IPMI 2011.