Central Laboratories White Papers & Articles

  1. Designing More Precise Clinical Trials Using AI-Driven Analytics 10/20/2025

    Clinical trials face staggering failure rates and inefficiencies. Discover how AI and real-world evidence streamline patient recruitment and trial design to help reshape the future of clinical research.

  2. Streamlining Patient Recruitment With AI–Driven Site Identification 10/20/2025

    This study highlights the use of an RWD-driven, AI-enabled recruitment models as a transformative strategy for clinical development in hard-to-recruit populations.

  3. The EMR Interoperability Dream Vs. Clinical Research Reality 10/20/2025

    Seamless Electronic Medical Record access promises accelerated trials and regulatory-grade evidence, but incomplete, unstructured data requires hybrid strategies using AI and human oversight to bridge gaps.

  4. Building Bioanalysis Infrastructure For Modern Drug Development 10/20/2025

    Drug development accelerates with AI, decentralized trials, and adaptive protocols, but legacy CRO infrastructure lags. Platform-based systems enable speed, quality, automation, and continuous improvement.

  5. 5 Outdated Practices Holding Back Modern Bioanalysis 10/20/2025

    Bioanalysis must replace outdated paper, manual processes, and disjointed systems with integrated, automated platforms for continuous validation, efficiency, compliance, and to support complex modern therapies.

  6. Built Like A Tech Company: Why CROs Need A New Operating System 10/20/2025

    See why building digital, automated infrastructure is essential, and better aligns CROs with today's speed, compliance, and innovation needs.

  7. Automating Regulatory-Grade RWE 10/20/2025

    Global regulatory agencies increasingly adopt Real-World Evidence, demanding higher data quality and automated AI-driven platforms to meet evolving standards and improve drug development pathways.

  8. Recruitment Capabilities Delivering In Today's Trial Landscape 10/16/2025

    Clinical trial recruitment now demands diverse capabilities — AI, data analytics, stakeholder engagement, and operational excellence — to meet complex protocols and deliver high-quality patient enrollment outcomes.

  9. Intelligent Trials AI Guide 10/16/2025

    Clinical trials face rising complexity, recruitment challenges, and high dropout rates — standardized data and predictive modeling can improve decision-making, site selection, and operational efficiency.

  10. Why Real-Time eCOA Data Matters More Than Ever 10/16/2025

    Real-time eCOA data enables faster eligibility decisions, proactive issue alerts, and streamlined operations by unifying data, improving precision, responsiveness, and trial execution efficiency.