Feature|Articles|July 30, 2026

Artificial Intelligence in Clinical Trials: From Pilots to Practice

As agentic AI, automated data harmonization, and real-time monitoring reshape clinical development, the organizations seeing meaningful results are those that have invested in unified data infrastructure and disciplined governance rather than cycling through pilots without the foundation to scale them.

Artificial intelligence (AI) is moving from a source of experimentation in clinical development to a defining operational capability, but the gap between what AI promises and what organizations are able to deliver remains significant.

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The Control Plane for Agentic Clinical Operations: Governing Autonomous Digital Actors in Regulated Trials

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Real-World Evidence Is Moving Upstream: Is the Data Infrastructure Ready?

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What a Practical Roadmap for FDA and EMA Quality Frameworks Actually Looks Like

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AI and Patient Recruitment: Can Predictive Promise Drive True Transformation?

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Real-Time Data, Right-Time Decisions: Rethinking Analysis Frequency in RBQM

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