Central Laboratories White Papers & Articles

  1. Go From Three Meetings To One With AI-Enabled eCOA 5/5/2026

    Learn how to turn three meetings into one with AI that is streamlining clinical workflows by reducing redundant steps, simplifying site operations, and accelerating data collection.

  2. Navigating The Waters Of Compliance In Clinical Research 5/5/2026

    Strengthen your research processes by adopting secure systems, staying current with regulatory standards, and ensuring your team is consistently trained to manage data responsibly and efficiently.

  3. AI Won't Fix Clinical Development Until Pharma Changes How They Use It 4/28/2026

    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.

  4. How Imaging Workflows Get Derailed: Four Fixes Teams Can Use Now 4/21/2026

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

  5. Bringing Intelligence Into The Flow Of Clinical Trials 4/16/2026

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

  6. Managing Opportunities And Risks In Generative AI Use For Clinical Research 4/15/2026

    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.

  7. Futureproofing Post-Approval Compliance 4/15/2026

    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.

  8. Improving Rare Disease Recruitment With Data And AI 4/15/2026

    Finding patients for rare disease clinical trials can be an uphill battle; fortunately, there are ways sponsors can address the most common stumbling blocks in the recruitment process.

  9. How Sponsors Can Ensure Their Sites Are Aligned With ICH E6 R3 4/14/2026

    Updated GCP expectations reshape sponsor–site collaboration. Clear guidance on systems, data governance, and monitoring reduces risk, strengthens oversight, and supports compliance with ICH E6(R3).

  10. Using AI To Close Critical Clinical Trial Gaps 4/13/2026

    Clinical trials face rising data and protocol complexity, driving delays and failures. Using intelligence-driven planning helps predict feasibility, flag enrollment risks early, and build more resilient studies.