AI Across the Clinical Trial Lifecycle

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From protocol design and site selection to patient recruitment, trial operations, and data analysis, artificial intelligence (AI) and other emerging technologies are reshaping the future of clinical development, offering new opportunities to accelerate timelines, improve decision-making and enhance trial efficiency. As sponsors face increasing pressure to bring therapies to patients faster while maintaining scientific rigor and regulatory compliance, successfully integrating AI into clinical trials requires a strategic approach that balances innovative execution with robust governance and regulatory expectations.

This infographic explores how AI, model-informed drug development (MIDD), decentralized trial approaches, and real-world data can transform clinical trial delivery while highlighting the practical and regulatory considerations sponsors should keep in mind.

Key insights include:

• AI applications across the clinical trial lifecycle, from protocol development and feasibility to recruitment, trial operations and analysis
• How AI can enhance protocol design, adaptive study planning and patient identification
• The role of MIDD, modeling and simulation, and decentralized trial tools in supporting smarter, more efficient clinical development
• Regulatory considerations for AI-enabled clinical trials, including validation, transparency, data governance and early health authority engagement
• Five essential principles for responsible AI adoption that balance innovation with scientific integrity and regulatory compliance

From study planning through execution, AI has the potential to enhance decision-making, improve operational efficiency, and accelerate the development of new therapies when applied with the right scientific and regulatory expertise.

For a deeper discussion of these topics and expert perspectives on emerging technologies in clinical research, watch our webinar, AI and Emerging Technologies in Clinical Trials: Practical Applications and Regulatory Considerations.