Work

A Narrative Review of Artificial Intelligence for Drug Repurposing: Lessons From COVID ‐19 and Oncology (2020–2025)

Year: 2026

Type: review

Abstract: Drug repurposing presents a cost-effective and time-efficient strategy to identify new therapeutic applications for existing drugs. Recent advances in artificial intelligence, including machine learning, deep learning, knowledge graphs, and natural language processing, have revolutionized this field by enabling automated discovery of drug-disease associations. This review examines the role of artificial intelligence in drug repurposing, drawing insights from two critical case areas: Coronavirus disease 2019 and oncology. We explore current trends, methodological frameworks, and technological innovations in artificial intelligence-driven drug repurposing, as well as challenges and emerging future directions. The findings of this paper underscore the transformative potential of artificial intelligence in biomedical research and justify its continued integration in pharmaceutical pipelines.

Source: CPT Pharmacometrics & Systems Pharmacology

DOI: 10.1002/psp4.70272

Authors: Alaba Bukola Ogungbite, Malusi Sibiya

Institution: University of South Africa

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,140