Empowering personalized pharmacogenomics with generative AI solutions.

ABSTRACT:

Objective

This study evaluates an AI assistant developed using OpenAI's GPT-4 for interpreting pharmacogenomic (PGx) testing results, aiming to improve decision-making and knowledge sharing in clinical genetics and to enhance patient care with equitable access.

Materials and methods

The AI assistant employs retrieval-augmented generation (RAG), which combines retrieval and generative techniques, by harnessing a knowledge base (KB) that comprises data from the Clinical Pharmacogenetics Implementation Consortium (CPIC). It uses context-aware GPT-4 to generate tailored responses to user queries from this KB, further refined through prompt engineering and guardrails.

Results

Evaluated against a specialized PGx question catalog, the AI assistant showed high efficacy in add

SUBMITTER: Murugan M 

PROVIDER: S-EPMC11105140 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature