Jiguo Cao: Using health data to predict the course of Alzheimer's

Professor Jiguo Cao from Department of Statistics and Actuarial Science and Professor Mirza Faisal Beg from School of Engineering at Simon Fraser University leverages multi-modal data from the Alzheimer’s Disease Neuroimaging Initiative to develop a deep-learning model for predicting the progression of dementia of Alzheimer's type (DAT). Published in Neurobiology of Aging, their research underscores the significance of genetic markers in predicting disease onset among cognitively normal individuals, while highlighting the critical role of cognitive assessments in managing mild cognitive impairment. This approach represents a significant advancement in understanding and potentially managing Alzheimer’s disease progression.

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