SOMA
Accelerate medical research discovery through automated knowledge graph analysis
Target Audience
- Medical researchers
- Pharmaceutical R&D teams
- Biomedical academics
Hashtags
Overview
SOMA automates analysis of medical research articles by extracting key concepts and relationships to build specialized knowledge graphs. Researchers can explore causal chains between concepts and instantly access supporting evidence from source documents. Saves up to 95% of time typically spent on literature review organization and document pre-processing.
Key Features
Process Automation
Accelerates research analysis up to 100x faster than manual methods
Concept Extraction
Identifies causal/associative relationships between medical concepts
API Access
Programmatic access for custom pipelines in Python/R/other languages
Causal Chains
Visualizes multi-step relationships with source-documented links
Freemium Model
Free basic access with 14-day advanced feature trial
Use Cases
Automate medical literature reviews
Drug repurposing research
Target discovery analysis
Connect cross-study concepts
Pros & Cons
Pros
- Dramatic time savings for literature analysis
- Reveals hidden connections across studies
- API enables custom research workflows
- Free tier lowers entry barrier
Cons
- Requires technical skills for API integration
- Limited advanced features in free version
- Focuses only on public medical research
Frequently Asked Questions
What's included in the free version?
Basic functionality with indefinite access, excluding advanced features
How long is the trial period?
14 days of extended functionality access
Can I use SOMA without coding skills?
Primary usage is via API, requiring some technical capability
Reviews for SOMA
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