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models could soon provide an early warning for individuals destined to develop the condition's symptoms years before they appear.The resulting system isn't perfect, but when tested against records for people known to have developed Alzheimer's later, the AI was able to accurately predict its development 72 percent of the time – up to seven years prior, in some cases.
The researchers also investigated the biology behind some of the identified links. Osteoporosis, Alzheimer's in women, and a variant in the gene MS4A6A were found to be connected, providing new opportunities to study the disorder's development. "This is a great example of how we can leverage patient data with machine learning to predict which patients are more likely to develop Alzheimer's, and also to understand the reasons why that is so,"
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