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How AI Can Help Spot Early Risk Factors for Alzheimer’s Disease

UCSF Health — February 20, 2024

UCSF scientists found a way to predict Alzheimer’s disease up to seven years before symptoms appear by analyzing patient records with machine learning. Conditions that most influenced prediction of Alzheimer’s were high cholesterol and, for women, osteoporosis.

UCSF School of Medicine

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