SOMA
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.
