WPI Researchers Predict Alzheimer's Disease From Brain Anatomy
Worcester Polytechnic Institute researchers published in Neuroscience (2025) used machine learning to analyze 815 MRI scans from the Alzheimer's Disease Neuroimaging Initiative and predicted Alzheimer's disease with 92.87% accuracy. The study found that volume loss in the hippocampus, amygdala, and entorhinal cortex varies by age and sex, highlighting right hippocampus changes as an early marker and suggesting sex-specific biomarkers for earlier diagnosis and targeted assessment.
Scoring Rationale
Peer-reviewed study demonstrating high accuracy and sex-specific biomarkers, but limited age range may limit generalizability.
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