Introduction
Knowledge Graphs (KG) originated from Google with the aim to enhance the search engine with information gathered from a variety of sources, encode structured information of entities and rich relations in a network, and have tremendous potential for impact on healthcare knowledge discovery. According to Absolute Market Insights, the global semantic knowledge graphing market will be worth US$ 3 billion by 2027.
Methods
Our cutting-edge technologies and expertise in biomedical natural language processing, machine learning, and semantic modeling enable Melax Tech to build a comprehensive pipeline for knowledge graph construction and evaluation for the biomedical domain. It supports a variety of use cases, such as visualization, question-answering, and knowledge discovery (e.g., drug discovery).
The current knowledge graph contains over 700 thousand unique entities (e.g., disease, gene, chemical) and 43 million relations from literature and other important biomedical resources. Melax Tech is partnering with major pharmaceutical companies and academic institutions on biomedical knowledge graph product development.
Conclusion:
Knowledge Graphs are a powerful tool that can revolutionize healthcare knowledge discovery. Melax Tech has harnessed the potential in the biomedical domain using cutting-edge expertise in natural language processing, machine learning, and semantic modeling. Our knowledge graph construction and evaluation pipeline holds immense promise for many applications. Collaborations with pharmaceutical companies and academic institutions reinforce its impact on advancing biomedical knowledge and innovation. In this era of data-driven healthcare, the Knowledge Graph illuminates the path to groundbreaking discoveries and improved patient outcomes.
Request a demo today to learn more about our unique biomedical knowledge graph technology!
