UC-San Francisco: How AI Can Help Spot Early Risk Factors for Alzheimer's Disease
February 23, 2024
February 23, 2024
SAN FRANCISCO, California, Feb. 23 (TNSres) -- The University of California San Francisco campus issued the following news release:
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Top predictors include high cholesterol and osteoporosis, the latter in women only.
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By Victoria Colliver
UC San Francisco scientists have found a way to predict Alzheimer's Disease up to seven years before symptoms appear by analyzing patient records with machine learning.
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Top predictors include high cholesterol and osteoporosis, the latter in women only.
* * *
By Victoria Colliver
UC San Francisco scientists have found a way to predict Alzheimer's Disease up to seven years before symptoms appear by analyzing patient records with machine learning.
. . .