The sheer amount of scientific research on the medical sciences is too large for researchers, either individually or as a part of a larger group, to keep up with. Using machine learning and high-performance computing, natural language technology can be leveraged to read and extract relevant information from large repositories of scientific papers. This information is then used to build a knowledge map that connects different concepts and entities, such as proteins, diseases and biological processes, together.
We are creating an information system by adapting a biomedical information extraction tool and developing a web interface to support the search for specific information. Our goal is to help life sciences researchers optimize the existing biomedical scientific literature to find solutions to pandemic-related problems.