Technical Pipeline
How NeuroBiome AI Works
Our machine learning pipeline transforms complex multi-omics data into actionable insights, enabling early detection of Alzheimer's-associated biological changes.
Why AI is Essential
High-Dimensional Data
Microbiome datasets contain thousands of taxa and metabolites, far too complex for manual analysis.
Subtle Patterns
Machine learning can detect non-linear relationships and interactions invisible to traditional statistics.
Integrative Analysis
AI enables fusion of microbiome, metabolome, and clinical data into unified predictive models.
Step 1 of 6
Data Input
Gut microbiome profiles (16S rRNA sequencing), metabolomic features, and genotype labels
Key Components:
16S rRNA amplicon sequencing data
Targeted metabolomics panels
APP/PS1 mouse genotype annotations
Sample metadata and quality metrics