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Using AI to Identify Alzheimer’s-Related Brain Patterns Before Symptoms Appear
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Long before memory loss or confusion appears, Alzheimer's disease may already be causing changes in the brain. These biological changes can go undetected for years, making early identification one of the field's biggest challenges and opportunities.
Georgia Tech researchers are developing an artificial intelligence (AI) approach to identify subtle brain-network patterns associated with Alzheimer's risk in people who have not yet developed symptoms.
Summary
Researchers in the Tri-Institutional Center for Translational Research in Neuroimaging and Data Science are developing an artificial intelligence approach for analyzing functional magnetic resonance imaging to identify subtle brain-network patterns associated with Alzheimer's risk in seemingly healthy patients.
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- Workflow status: Published
- Created by: hashcraft6
- Created: 09/10/2026
- Modified By: adavidson38
- Modified: 09/17/2026
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