Vol. 4 No. 2 (2024): Journal of Machine Learning in Pharmaceutical Research
Articles

AI-powered Clinical Trials Optimization for Drug Development: Utilizing AI algorithms to optimize the design and execution of clinical trials for drug development

Dr. Katarzyna Kowalska
Associate Professor of Bioinformatics, Jagiellonian University, Poland
Cover

Published 14-09-2024

Keywords

  • AI,
  • process

How to Cite

[1]
Dr. Katarzyna Kowalska, “AI-powered Clinical Trials Optimization for Drug Development: Utilizing AI algorithms to optimize the design and execution of clinical trials for drug development”, Journal of Machine Learning in Pharmaceutical Research, vol. 4, no. 2, pp. 97–105, Sep. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://pharmapub.org/index.php/jmlpr/article/view/28

Abstract

Clinical trials are crucial in the process of drug development, yet they often face challenges such as high costs, lengthy timelines, and inefficient designs. Artificial Intelligence (AI) has emerged as a promising tool to address these challenges by optimizing various aspects of clinical trials. This paper explores the application of AI in optimizing clinical trials for drug development, focusing on the design and execution phases. We discuss the benefits, challenges, and future prospects of AI-powered clinical trials, highlighting the potential to revolutionize the drug development process.

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