Editorial: Machine Learning Advancements in Pharmacology: Transforming Drug Discovery and Healthcare

Authors

Moom Rahman Roosan, Chapman UniversityFollow
Ramgopal Mettu, Tulane University

Document Type

Editorial

Publication Date

3-7-2025

Abstract

"In recent years, the integration of machine learning (ML) into pharmacology has revolutionized how we approach drug discovery, disease modeling, and therapeutic development. By leveraging vast datasets and computational power, ML has enabled researchers to uncover patterns, predict outcomes, and accelerate drug development processes that were previously unimaginable. This Research Topic on 'Machine Learning Advancements in Pharmacology' features five impactful studies that highlight the diverse applications and potential of ML in this field. These contributions, encompassing original research and a systematic review, exemplify the transformative role of ML in addressing some of the most pressing challenges in pharmacology."

Comments

This article was originally published in Frontiers in Pharmacology, volume 16, in 2025. https://doi.org/10.3389/fphar.2025.1583486

Recommended Citation

Roosan MR and Mettu R (2025) Editorial: Machine learning advancements in pharmacology: transforming drug discovery and healthcare. Front. Pharmacol. 16:1583486. https://doi.org/10.3389/fphar.2025.1583486

Copyright

The authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.