Artificial Intelligence in Drug Repurposing

Ntakarutimana Dieudonné Aimé

Faculty of Pharmacy Kampala International University Uganda

ABSTRACT

Drug repurposing, or finding new uses for existing drugs, presents a promising avenue to mitigate the high costs and lengthy timelines associated with traditional drug development. Recent advancements in artificial intelligence (AI) have significantly enhanced the efficiency and accuracy of drug repurposing efforts. By leveraging machine learning algorithms, deep learning applications, and integrative data approaches, AI can analyze vast datasets from biological, chemical, and clinical sources to identify potential new therapeutic uses for existing drugs. This paper explores the application of AI in drug repurposing, highlighting successful case studies, current methodologies, and future directions. The integration of AI in drug repurposing not only accelerates the drug development process but also offers novel insights into the treatment of various diseases, demonstrating its transformative potential in the pharmaceutical industry.

Keywords: Drug Repurposing, Artificial Intelligence, Machine Learning, Deep Learning, Bioinformatics, Chemoinformatics.

CITATION: Ntakarutimana Dieudonné Aimé. Artificial Intelligence in Drug Repurposing. Research Output Journal of Engineering and Scientific Research. 2024 3(1):34-38.