GenoLlama and PhenoLlama

Work as part of the Genomic AI Network: Developing Large Language Models for high precision medical concept extraction from unstructured text reports, streamlining genomic testing and improving patient identification for clinical trials. The technology developed and validated at GSTT will be made available with support for its adoption by NHS Trusts nationwide.

• GenoLlama is fine tuned to extract biomarker information from genomic test result reports, with potential in improved recruitment into clinical trials leading to better patient outcomes. This work may also be used to retrospectively populate the Unified Genomics Record, in collaboration with the Genomics Unit at NHS England; as well as to speed up data processing work at the National Disease Registration Service.
• PhenoLlama is fine tuned to identify and codify symptom information as terms in the Human Phenotype Ontology for improved referral to genomic testing, particularly in patients with suspected inherited cardiac conditions.

Video demonstration of OncoLlama, PhenoLlama and GenoLlama at the Clinical AI Interest Group – of NHS Genomic AI Network