Central Laboratories White Papers & Articles

  1. Strong Bookings And The Disruption Gap Nobody Is Talking About 5/6/2026

    Understand the real impact of AI on CRO valuations and clinical trial stability. Explore why market data contradicts the "disruption" narrative and what it means for the future of the industry.

  2. Early-Stage Biotech's AI Advantage Is A Window That Closes 5/6/2026

    The "greenfield" advantage allows biotechs to build AI-native trials from the start, replacing manual data entry with automated workflows and structured human oversight for better data integrity.

  3. What AI Replaces In Phase 2/3 Data Management 5/6/2026

    Explore how clinical teams are moving beyond AI hype to implement grounded strategies for automated edit checks, risk-based query management, and the regulatory frameworks needed for oversight.

  4. Real-Time Data... Are We Fixing The Right Bottleneck (Or Any For That Matter)? 5/6/2026

    Real-time data streaming to regulators is a bold step, but true clinical acceleration requires solving site-level bottlenecks and data silos to reduce the administrative burden on research.

  5. The Agentic AI Connectors That Matter In Clinical Development 5/5/2026

    An inside look at the architecture behind agentic AI in clinical research, including how modular agents, connectors, and MCP frameworks enable scalable, interoperable automation across complex trial ecosystems. 

  6. The Vision That's Reimagining Clinical Development 5/5/2026

    Learn how Medable is working to turn fragmented, sequential processes into continuous progress, accelerating the path from protocol to patient for our clients.

  7. 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.

  8. 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.

  9. 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.

  10. 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.