AI to detect early signs of Alzheimer’s Disease

Jacob Winkworth


Supervised by Xianfang Sun; Moderated by Alia I Abdelmoty

Despite nearly 50 million people worldwide have Alzheimer's disease or another form of dementia, no cure exists for Alzheimer’s disease. Promising drugs have emerged in recent years that can help stem the condition’s progression. However, these treatments must be administered early in the course of the disease in order to do any good. This race against the clock has posed a serious challenge on how to diagnose the condition earlier. In the face of this challenge, we seek to develop a new deep learning algorithm using MRI neuroimaging data from the Alzheimer’s Disease Neuroimaging Initiative, to predict whether or not a patient would develop Alzheimer’s disease when they first presented with memory impairment - the best time to intervene.

The student should have a good programming skill and a relatively strong mathematical background.

Initial Plan (10/02/2020) [Zip Archive]

Final Report (05/06/2020) [Zip Archive]

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