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Machine learning reveals sex-specific Alzheimer's risk genes

Research explores sex-specific gene associations in Alzheimer's disease using a machine-learning approach. It reveals immune response pathways in both sexes and stress-response pathways in males, highlighting potential biomarkers and therapeutic targets for personalized treatments.
Kateryna Kon Shutterstock Nature Communications Image Credit Kateryna Kon Disease Sequencing Project Alzheimer 39s Disease

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