Keywords
clinical trials
drug discovery
drug development
optimization
How to Cite
Abstract
The pharmaceutical industry faces significant challenges in drug discovery and development, with clinical trials being a crucial yet time-consuming and expensive phase. AI-driven approaches offer innovative solutions to optimize clinical trial design and execution, potentially accelerating the drug development process. This paper explores the application of AI algorithms in clinical trials, focusing on their impact on various stages of drug discovery and development. We discuss how AI can enhance patient recruitment, trial design, data analysis, and regulatory compliance, ultimately leading to more efficient and cost-effective clinical trials. Through case studies and examples, we highlight the potential benefits and challenges of implementing AI in clinical trials, emphasizing the need for collaboration between researchers, regulators, and industry stakeholders to realize the full potential of AI in revolutionizing drug discovery and development.
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