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By combining neuroimaging metrics (e.g., cortical thickness, functional connectivity), body fluid biomarkers (e.g., NfL, A 142 /tau ratios), genetic variants (e.g., apolipoprotein E, CD36, TREM2), and cognitive/clinical profiles, AI-based models can construct multidimensional representations of disease states

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