Tracking the Evolution of Artificial Intelligence in Pharmacogenomics: A Bibliometric Approach to Personalized Healthcare

Abstract: The application of artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) has gained significant momentum in pharmacogenomics (PGx). AI models can identify promising drug candidates likely to interact with particular genetic profiles. The research works and bibliographic details regarding the use of artificial intelligence in pharmacogenomics were obtained from PubMed between 1st January 2004 and 1st April 2025. The relative growth rate (RGR) analysis shows a decline in recent years, but the increasing doubling time might reflect the complex nature of research in this field. Out of 282 publications, most articles were published in 2024, reflecting the growing adoption of AI tools within this area. Multiple researchers authored many studies. India ranks fifth, contributing 11 (3.9%) articles. The findings underscore the swift expansion, collaborative efforts, and international scope of research in AI-driven pharmacogenomics.