Vol. 3 No. 1 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

AI-Driven Drug Discovery and Development for Precision Medicine

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  • Daniel Lee
Daniel Lee
Associate Professor, Health Informatics Department, Jefferson Institute of Technology, Boston, USA
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Published 17-04-2023

Keywords

  • AI,
  • Drug Discovery,
  • Precision Medicine,
  • Computational Drug Design,
  • Bioinformatics
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Daniel Lee, “AI-Driven Drug Discovery and Development for Precision Medicine”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 1, pp. 1–11, Apr. 2023, Accessed: Nov. 24, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/9

Abstract

The advent of Artificial Intelligence (AI) has revolutionized the field of drug discovery and development, particularly in the context of precision medicine. This research paper explores the various AI-driven approaches that have significantly accelerated the drug discovery and development processes, leading to more targeted and effective treatments. The paper discusses the key challenges in traditional drug discovery and how AI technologies, such as machine learning and deep learning, are being leveraged to overcome these challenges. It also highlights the implications of AI in enabling precision medicine, where treatments are tailored to individual patients based on their genetic, environmental, and lifestyle factors. Through a comprehensive review of recent advancements and case studies, this paper aims to provide insights into the future of AI-driven drug discovery and its potential to revolutionize the field of precision medicine.

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