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Of the 1,463 proteins analyzed using machine learning, 11 proteins were identified and combined into a protein panel that the researchers showed to be very accurate in predicting future dementia. Accounting for traditional risk factors such as age, gender, education level and genetics, the predictive model showed high accuracy, measured at more than 90 percent.
Early diagnosis is critical for people with dementia. New treatments can slow or even reverse the progression of Alzheimer’s disease, but only if the disease is detected early enough.