What is SOMA?
SOMA represents a breakthrough in medical research automation, offering a sophisticated platform that analyzes publicly available medical research articles. The system excels at extracting crucial concepts and identifying both causal and associative relationships, organizing them into a comprehensive knowledge graph database.
The platform enables researchers to explore causal chains between specified concepts, with each connection supported by extracted sentences from research articles. Through its advanced API capabilities, researchers can develop custom pipelines for article searches, concept analysis, drug repurposing, and target discovery, significantly accelerating the research process with up to 100x speedup in process automation.
Features
- Knowledge Graph Creation: Extracts and organizes concepts from medical research articles
- Causal Chain Analysis: Identifies and documents relationships between medical concepts
- API Integration: Supports custom pipeline development in multiple programming languages
- Literature Review Enhancement: Discovers hidden connections across multiple documents
- Document Pre-processing: Reduces processing time by up to 95%
- Source Documentation: Provides web links to original research articles
Use Cases
- Medical research literature review
- Drug repurposing and repositioning
- Target discovery in pharmaceutical research
- Systematic review automation
- Medical concept relationship analysis
- Research pipeline development
FAQs
-
What is the duration of the extended functionality trial period?
SOMA offers a 14-day trial period for extended functionality after registration. -
How much time can be saved using SOMA's pre-processing features?
SOMA can save up to 95% of time spent on pre-processing documents. -
What programming languages are supported for API integration?
The API can be integrated with Python, R, and other programming languages. -
How does SOMA handle research article analysis?
SOMA analyzes publicly available medical research articles, extracts important concepts, and identifies causal and associative relationships between them to form a knowledge graph.
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SOMA Uptime Monitor
Average Uptime
99.65%
Average Response Time
1135 ms
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