International Business Machines Corporation
Identification of Signature Mutations and Targeted Treatments

Abstract:

A genomics artificial intelligence (AI) pipeline comprising a plurality of trained machine learning computer models is provided. First machine learning (ML) computer model(s) extract genomics entities from content of the electronic documents. Second ML computer model(s) determine relationships between genomics entities. Third ML computer model(s) grade biomarkers specified in the relationships based on a predetermined grading scheme and the relationships and gradings are stored in a genomics database for use in processing a patient gene sequencing data structure to identify a signature mutation. A report output is generated identifying the signature mutation present in the patient gene sequencing data structure.