What is System?
System addresses the challenge of siloed knowledge by employing Artificial Intelligence to build a comprehensive, quantitative model of the world as an interconnected system. It focuses particularly on complex areas like health, climate, and social equity, aiming to evolve how global knowledge is organized and utilized.
The platform's core is the System Graph, which maps findings, concepts, and relationships extracted from verified sources such as peer-reviewed studies and expert-curated databases. This allows users to understand intricate connections within complex systems. System also offers specialized applications like WholeHealth for investigating disease factors and Synthesis for generating biomedical literature reviews, facilitating advanced research and informed decision-making.
Features
- System Graph: A quantitative model mapping concepts and relationships from verified sources.
- AI-Powered Knowledge Synthesis: Extracts and organizes findings from studies and databases.
- WholeHealth App: Investigates determinants, interventions, and outcomes for diseases.
- Synthesis App: Generates accurate, transparent literature syntheses for biomedical topics.
Use Cases
- Synthesizing research insights for health initiatives.
- Understanding relationships between health determinants and outcomes.
- Conducting literature reviews and evidence synthesis for biomedical topics.
- Integrating external databases (e.g., GWAS) into a broader systems context.
- Advancing research and improving decision-making in health and complex global issues.
- Identifying key drivers of population health for targeted interventions.
