HAL (France)
open access
Integrative machine learning models for Alzheimer's detection using blood-based metabolomics and genetic risk
Alzheimer's disease (AD) and related dementias are characterized by long preclinical phases, substantial biological heterogeneity, and overlapping clinical phenotypes that complicate accurate diagnosis. Although cerebrospinal fluid and neuroimaging biomarkers have advanced biologically informed diag
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