Title:Tracking the Evolution of Artificial Intelligence in Pharmacogenomics: A Bibliometric Approach to Personalized Healthcare
Volume: 23
Author(s): Hemasri Velmurugan*Tamilarasan Murugesan
Affiliation:
- Department of Clinical Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
Keywords:
Bibliometric, scientometric, pharmacogenomics, artificial intelligence, machine learning (ML), deep learning (DL).
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.
