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

AI Techniques for Identifying Novel Therapeutic Applications in Drug Repositioning: Applies AI-driven approaches to repurpose existing drugs for new therapeutic indications, accelerating

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  • Dr. Natalia Petrova
Dr. Natalia Petrova
Associate Professor of Medical Imaging, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
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Published 15-05-2024

Keywords

  • Drug repositioning,
  • artificial intelligence,
  • machine learning,
  • deep learning,
  • therapeutic applications
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
D. N. Petrova, “AI Techniques for Identifying Novel Therapeutic Applications in Drug Repositioning: Applies AI-driven approaches to repurpose existing drugs for new therapeutic indications, accelerating ”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 121–130, May 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/25

Abstract

Drug repositioning, the process of identifying new therapeutic applications for existing drugs, offers a promising strategy to accelerate drug discovery and development. This research paper explores the application of artificial intelligence (AI) in drug repositioning, focusing on the use of machine learning and deep learning algorithms to analyze large-scale biomedical data and predict novel drug-disease associations. The paper reviews current AI-driven approaches in drug repositioning, including network-based methods, similarity-based approaches, and deep learning models. It also discusses challenges and future directions in the field, highlighting the potential of AI-driven drug repositioning to revolutionize the pharmaceutical industry and improve patient outcomes.

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