Next-generation AI brings powerful new insight into genomic data
Genomenon, Inc. announced the company has used an advanced genomic AI platform to build the Genomenon Genomic Graph (G3) knowledgebase of all clinically relevant, empirical genomic evidence.
This advancement represents the first time that content from the entire corpus of clinically relevant literature will be captured in a single, searchable knowledgebase.
The knowledgebase will include genes, genetic variants, copy number variants, structural variants including fusion events, gene-disease relationships, drugs, phenotypes, and patient demographics and symptoms derived from the indexed content of the published scientific research. In addition to enabling advanced biomedical literature search and alert capabilities—using natural language queries to prioritize, annotate, and summarize relevant articles—this technology provides actionable patient and disease insights. It can also be used to produce an interactive database with structured generative AI insights and analytics to meet the needs of real-world evidence applications.
Training the genomic-specific LLM model on Genomenon's proprietary, expertly curated datasets increases the accuracy of the AI model. These datasets include curated content for germline diseases and cancers from the Company's genomic intelligence platform and Cancer Knowledgebase.
