CENTRAL LABORATORIES WHITE PAPERS & ARTICLES

• AI Won't Fix Clinical Development Until Pharma Changes How They Use It

  Clinical development teams can unlock real AI value by aligning it to roles, workflows, and accountability. A practical operating model shows how to cut cycle time, reduce rework, and strengthen GxP‑ready decisions.

• How Imaging Workflows Get Derailed: Four Fixes Teams Can Use Now

  Learn how to prevent data gaps by addressing common imaging challenges through proactive protocol compliance, automated tracking, and streamlined collaboration for better trial outcomes.

• Bringing Intelligence Into The Flow Of Clinical Trials

  AI-driven trial intelligence turns complex data into real-time insight, enabling earlier risk detection, stronger oversight, and smarter decisions across the trial lifecycle.

• Managing Opportunities And Risks In Generative AI Use For Clinical Research

  Explore how to bridge the gap between generative AI potential and clinical regulations through smarter oversight, adversarial agents, and a workforce prepared for human-AI collaboration.

• Futureproofing Post-Approval Compliance

  In the post-approval stage, a synergistic operating model brings PV and regulatory functions under one umbrella: a single governance structure with shared decision cycles, templates, and evidence.