Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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