Understanding Disease Through Subtypes.
Precision Care That Works.
AI-powered digital twins that uncover disease subtypes, enabling treatments matched to individual biology. Starting with autism spectrum disorder.
Multi-Omics AI That Reveals Disease Subtypes
Heterogeneous diseases like autism have resisted traditional single-marker approaches. Our Dynomics platform integrates microbiome, metabolome, proteome, and genomic data to identify disease subtypes that predict treatment response—achieving >80% accuracy in our published ASD meta-analysis (Nature Neuroscience).
- Subtype Discovery: Identify clinically meaningful patient subgroups within heterogeneous conditions
- Multi-Modal Integration: Combine orthogonal data sources for exponentially better predictions
- Validated Science: Methodology published in Nature journals and validated across multiple cohorts
Built on Proven Foundations
Our platform is powered by scikit-bio, our DOE-funded open-source platform with thousands of users worldwide.
- Proven, reproducible, scientifically validated
- 1,000,000+ curated samples
- 5+ years of database development
- Validated in Nature journals
Our Platform in Action
Immunotherapy Response Prediction: A Multi-Omics Approach
See how our Dynomics platform improves patient selection—one example of multi-omics AI applied to treatment prediction.
- Multi-omics integration methodology
- Patient stratification approach
- Translating research to clinical applications
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Discuss how our platform can advance disease understanding in your research
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