Hierarchical RAG enhances a pharmacogenomic AI assistant in guideline related queries
These findings suggest that the HRAG framework could contribute to the development of a PGx AI assistant. It may help narrow the knowledge gap and facilitate the broader adoption of PGx.
Authors
- Sokbom Kang (ORCID: https://orcid.org/0000-0002-8428-9555)
- Eun Sil Kim (ORCID: https://orcid.org/0000-0003-2012-9867)
- Junpyo Park (ORCID: https://orcid.org/0009-0006-2614-6122)
- Ju‐Young Kim (ORCID: https://orcid.org/0000-0002-4026-9034)
- Ju Han Kim (ORCID: https://orcid.org/0000-0003-1522-9038)
- Mi Seon Youn
- Yaejin Jeon (ORCID: https://orcid.org/0009-0003-5922-0542)
Institutions
- Hanlyo University (KR)
- New Generation University College (ET)
- National University College (PR)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.111323
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00