Hierarchical RAG enhances a pharmacogenomic AI assistant in guideline related queries

20250 citationsJournal Articlehybrid Open Access

Authors

Yaejin Jeon · New Generation University College

Mi Seon Youn · New Generation University College

Sokbom Kang · New Generation University College

Junpyo Park · Hanlyo University

Eun Sil Kim · Hanlyo University

Ju‐Young Kim · Hanlyo University

Ju Han Kim ·

Abstract

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.

Topics & Keywords

Biomedical Text Mining and Ontologies Genomics and Rare Diseases Pharmacogenetics and Drug Metabolism

Publication Details

Published in: Computers in Biology and Medicine

Volume 200, pp. 111323-111323

DOI: 10.1016/j.compbiomed.2025.111323

Field-Weighted Citation Impact: 0.00

Command Palette

Hierarchical RAG enhances a pharmacogenomic AI assistant in guideline related queries

Authors

Abstract

Topics & Keywords

Publication Details