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The development of a stochastic probability transition model for Alzheimer’s disease (AD) development describing the start and rate of development over time of the neurodegenerative process that results in the clinical diagnosis of AD. The model permits many stratifications for risk groups dependent on factors such as age, educational attainment, and genetic background. The development of a dynamic model for AD describing the changes over time of blood-based AD associated biomarkers, brain scan measures and the development of cognitive decline towards AD.


DPUK final report