Introduction:
Are you tired of spending countless hours sifting through medical research articles, trying to extract valuable insights?
Introducing SOMA, the research automation platform that revolutionizes medical innovation.
By analyzing publicly available articles, SOMA extracts crucial concepts and uncovers causal and associative relationships between them. It then organizes this information into a specialized knowledge graph, allowing researchers to effortlessly navigate through the vast sea of medical knowledge.
With SOMA, you can input specific concept pairs and instantly retrieve relevant causal chains, tailored to your research needs. No more wasting time on tedious literature reviews – SOMA finds articles that are directly related to your specified cause and effect relationships.
Uncover hidden connections and spend less time organizing reviews, so you can focus on what truly matters – advancing your own research. SOMA aims to save you up to 80% of the time typically spent on document pre-processing.
Ready to experience the power of SOMA? Sign up for our 14-day free trial and gain full access to its game-changing features. Visit our website or contact the SOMA team for more information.
Join the SOMA project, developed by Cloudcell Limited, and unlock the potential of AI tools in medical research and knowledge extraction.
Overview:
SOMA is a research automation platform designed to accelerate medical innovation. It analyzes publicly available medical research articles and extracts important concepts, as well as identifies causal and associative relationships between them. The extracted information is organized into a specialized database known as a knowledge graph. Researchers can input specific pairs of concepts, and the system retrieves relevant causal chains with customizable lengths.
The platform also enhances literature reviews by finding articles relevant to the researcher’s specified cause and effect relationships. It captures documents based on the mechanism of action, allowing users to uncover hidden connections. This feature enables researchers to spend less time organizing reviews and focus more on their own research.
SOMA aims to save users up to 80% of the time typically spent on document pre-processing. By automating the analysis of previously published research, it provides valuable insights for building on existing knowledge and driving research forward.
The platform offers a free trial period of 14 days, during which users have full access to its features. Users can sign up for the trial on the platform’s website or contact the SOMA team for further information.
SOMA is developed by Cloudcell Limited and is part of the Systematic Objective Meta Analysis (SOMA) project.
Benefits:
- Accelerates medical innovation
- Extracts important concepts from medical research articles
- Identifies causal and associative relationships between concepts
- Organizes extracted information into a specialized knowledge graph
- Enhances literature reviews by finding relevant articles based on specified cause and effect relationships
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