The World's First Population-Scale Dynamic Multiome
Predicting diseases. Saving lives. Unlocking the future of precision health through real-time AI and multiomics.
AI-powered insights from cfDNA, evRNA, and single-cell PBMCs — at population scale.
Dynamic Multiome
Track disease progression. Predict the future. Act earlier.

AI that understands your health—built with samples from 100,000 individuals
core capabilitiesWhy Invest in Dynamic Multiome?
Global scale, early impact, and powerful return
— through AI and multiomics.
Up to 1 billion Quality-Adjusted Life Years (QALYs) saved through earlier, smarter medical intervention.
Accurate 3–18 month forecasting for heart failure, kidney decline, and cancer powered by real-world longitudinal data.

Global-Ready Infrastructure
2× larger than the entire SRA database, enabling next-level population analytics.
/ Dynamic Multiomics in shaping the future of healthcare.
/ Dynamic Multiomics in shaping the future of healthcare.
World Leading Biotech Pioneers Driving the Future of Predictive Health
How the Project Works
0
+
Participants
Over three longitudinal phases, collecting real-time biological data and clinical input.
0
Years
Project Timeline
Phased execution including follow-ups, remote check-ins, and sample collection milestones.
0
+ Experts
Global Scientific Leadership
Guided by experts from Harvard, Yale, MD Anderson, and leading global institutions.
Multiomic Sampling
- cfDNA methylation (plasma)
- Extracellular vesicle RNA
- PBMC single-cell RNAseq
- Standardized blood collection protocol
Longitudinal Design
- Sampling across 4 timepoints (0, 1, 3, 6 months) in Phase 1
- 12-month and telemedicine check-ins in Phase 2
- Potential Phase 3 extension to 5+ years
Clinical Integration
- Synthesis of specialized compounds and reagents
- Tailored solutions for specific research needs
- Advanced data analysis services
- Comprehensive interpretation and reporting