Central Laboratories White Papers & Articles

31. Who Decides? Navigating AI Governance in Clinical Research 6/15/2026

    AI in clinical research poses governance challenges. Clear ownership, consistent policies, and aligned teams help manage risk, ensure compliance, and drive responsible innovation in complex trials.

32. Building A Clinical Research AI Governance Framework 6/15/2026

    Learn how structured oversight, transparency, and collaboration help ensure compliance, reduce bias, and build trust while enabling innovation in increasingly data-driven trials.

33. 2026 Clinical Trials: Strong Headwinds, Winds Of Change 6/11/2026

    Are your Phase I–III/IV clinical studies prepared for today's regulatory landscape? Learn how leading organizations are addressing compliance, transparency, and data ownership risks.

34. How Pharmacometrics Informs Dose Selection And Biomarker Decisions 6/10/2026

    Quantitative modeling guides early dose and biomarker insights, reducing uncertainty, improving study design, and enabling faster, more confident decisions from first trials to clinical progress.

35. Anthropic's Stainless Acquisition: What It Means For Clinical Trials 6/5/2026

    As AI models become interchangeable, value is shifting to the orchestration layer that connects tools, workflows, and governance—making flexibility, interoperability, and auditability critical.

36. Don't Just Swap The Engine. Redesign The Factory. 6/4/2026

    Discover how AI-native technology is accelerating study startup, streamlining operations, and helping sponsors and CROs deliver therapies to patients faster.

37. What Is Ontology? Learn About The Data Layer That Makes Agentic AI Work 6/3/2026

     Get an overview of ontology, the "semantic translator" that determines whether your AI investments actually compound or stay forever siloed.

38. Early-Stage Biotech's AI Advantage Is A Window That Closes 5/27/2026

    FDA AI guidance won’t build your strategy for you. Learn how biotech teams can avoid retrofits and design smarter clinical AI from day one.

39. Where PRO Strategy Goes Wrong 5/27/2026

    PRO and COA strategy is now central to trial success. Organizations that capture meaningful patient experience data will gain stronger evidence and a regulatory advantage.

40. Is The Industry Ready To Trust LLMs With Chart Review? 5/27/2026

    See how LLM-powered extraction transforms unstructured medical records into compliant, audit-ready clinical data with machine-scale speed, human oversight, and regulatory-grade accuracy.