Cost-effective AI tool can predict markers of Alzheimer's disease

Researchers at Boston University Chobanian & Avedisian School of Medicine have built an artificial intelligence (AI) tool that can accurately predict key signs of Alzheimer's disease—such as the presence of sticky proteins called amyloid beta and tau—using common and less expensive tests like brain scans, memory checks and health records. The findings appear online in the journal Nature Communications.

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