The platform is designed to help researchers identify new areas of study, and its features are constantly evolving to support new research areas. SOMA is a powerful tool that can help researchers accelerate their work and make significant contributions to their field.
SOMA is a groundbreaking research automation platform that streamlines the process of analyzing and organizing medical research articles. By using natural language processing (NLP) and machine learning (ML) techniques, SOMA can automatically extract important concepts from publicly available medical research articles, and organize them into a specialized database known as a knowledge graph. This database can be searched and analyzed to identify causal and associative relationships between concepts, saving researchers valuable time and effort.
One of the key features of SOMA is its ability to identify causal chains between specific pairs of concepts. Researchers can input specific pairs of concepts, and the platform will retrieve relevant causal chains with customizable lengths. This feature enables researchers to quickly and easily identify the most relevant relationships between concepts, without having to spend hours manually reviewing and organizing large amounts of literature.
Another important feature of SOMA is its ability to capture documents based on the mechanism of action. This allows researchers to uncover hidden connections between concepts and identify new areas of study. By automatically organizing and analyzing large amounts of literature, SOMA can help researchers discover new insights and make significant contributions to their field.
SOMA is designed to save users up to 80% of the time typically spent on document pre-processing, allowing them to focus on their own research and make new discoveries. 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.
In conclusion, SOMA is a powerful research automation platform that can help accelerate medical innovation by streamlining the process of analyzing and organizing medical research articles. Its advanced NLP and ML techniques can help researchers identify causal and associative relationships between concepts, and uncover hidden connections between documents. With its ability to save users up to 80% of the time typically spent on document pre-processing, SOMA is a valuable tool for any researcher looking to make significant contributions to their field.
