Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

AI-driven Drug Repositioning for Identifying Novel Therapeutic Applications: Applies AI-driven approaches to repurpose existing drugs for new therapeutic indications, accelerating the discovery of potential treatments for various medical conditions

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  • Dr. Farzaneh Safaei
Dr. Farzaneh Safaei
Professor of Artificial Intelligence, Shahid Beheshti University, Iran
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Published 06-06-2024

Keywords

  • Drug repositioning,
  • artificial intelligence,
  • machine learning,
  • therapeutic applications,
  • drug discovery
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How to Cite

[1]
Dr. Farzaneh Safaei, “AI-driven Drug Repositioning for Identifying Novel Therapeutic Applications: Applies AI-driven approaches to repurpose existing drugs for new therapeutic indications, accelerating the discovery of potential treatments for various medical conditions”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 131–139, Jun. 2024, Accessed: Jul. 01, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/27

Abstract

Drug repositioning, also known as drug repurposing, is a strategy that aims to identify new therapeutic uses for existing drugs. This approach offers significant advantages over traditional drug development, including reduced costs and faster time to market. In recent years, the application of artificial intelligence (AI) in drug repositioning has emerged as a promising avenue for identifying novel therapeutic applications. AI-driven approaches leverage machine learning algorithms to analyze large-scale biological and chemical data, uncovering hidden relationships between drugs and diseases. This paper provides a comprehensive review of AI-driven drug repositioning, highlighting its principles, methodologies, and applications. We discuss the key challenges and opportunities in this field, as well as future directions for research and development.

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