Gut Microbiome Changes in Alzheimer's Disease: A Multi-Model Machine Learning Analysis
CWSF · 2026 Disease & Illness Bronze Medal
Overview
Considering the prevalence and life-altering nature of Alzheimer’s Disease (AD), why is it so difficult to diagnose? Within recent years, much research has linked changes in the gut microbiome to Alzheimer's disease. Our project reverses this process and attempts to diagnose Alzheimer's using a patient's gut microbiome. We built machine learning models to predict AD using gut microbiome data collected from fecal samples. A fecal test would be accessible, effective, non-invasive, and easily integrated into existing healthcare systems, enabling faster diagnosis of AD.
Awards (2)
- Bronze Medal
- Selected for CWSF 2026
Competition history
- CWSF 2026
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