TECHNICAL FOUNDATION OVERVIEW
Inside Mavatar:
The Engine of Precision
Medicine
Mavatar integrates molecular data with machine learning to create digital twins of patients and
diseases.
Our proprietary framework has over 20 years of scientific innovation.
Our Technical Foundation is built on Four Key Pillars
Our Comprehensive Data Integration
Mavatar leverages millions of publicly available transcriptomic and proteomic datasets—sourced from diverse populations and global research efforts. We use transcriptomic data to build detailed digital disease models, and proteomic data to support in silico biomarker validation and molecular analysis.
Key advantages of using public research data include:
- Global diversity in sample populations
- Timeless data that reflects biological trends over time
- Scalability across thousands of studies and conditions
All data is subjected to a multi-step qualification and standardization process before use.
Scalable, Adaptable &
Built for the Future
- Our technology is disease-agnostic, applicable to any condition. It adapts across healthcare and drug development use cases, including:
- Identifying gene networks and disease pathways
- Target discovery
- Drug repuposing
- Preclinical simulations to avoid animal testing, and
- Patient selection
ADVANCING PRECISION MEDICINE
A Personalized Model of Health, for everyone
Mavatar’s technology supports drug development and personalized care, enabling a deeper understanding of disease. Our work with digital twins paves the way for personalized health models.
Helping to inform care, guide research, and support proactive decision-making over a lifetime.
Built for the future of medicine
We’re building the foundation for its future.