Biomedical knowledge graph-optimized prompt generation for large language models

202485 citationsJournal Articlegold Open Access

Authors

Karthik Soman · University of California, San Francisco

Peter W. Rose · San Diego Supercomputer Center

John H. Morris · University of California, San Francisco

Rabia E Akbas · University of California, San Francisco

Brett Smith · Institute for Systems Biology

Braian Peetoom · University of California, San Francisco

Catalina Villouta-Reyes

Abstract

SPOKE KG can be accessed at https://spoke.rbvi.ucsf.edu/neighborhood.html. It can also be accessed using REST-API (https://spoke.rbvi.ucsf.edu/swagger/). KG-RAG code is made available at https://github.com/BaranziniLab/KG_RAG. Biomedical benchmark datasets used in this study are made available to the research community in the same GitHub repository.

Topics & Keywords

Topic Modeling Artificial Intelligence in Healthcare and Education Biomedical Text Mining and Ontologies

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: Bioinformatics

Volume 40, Issue 9

DOI: 10.1093/bioinformatics/btae560

Field-Weighted Citation Impact: 29.52