CENTRAL LABORATORIES WHITE PAPERS & ARTICLES

• AI, Open Source, & the Future of Biostatistics

  AI and open-source tools are changing statistical programming. Learn how to validate, govern, and apply them without sacrificing the accuracy and oversight clinical research demands.

• Digital Twins: From Protocol Design to Predictive Study Execution

  A growing generation of AI-enabled digital twin approaches offers a new path. Instead of treating the protocol as a static document, organizations can model it as a dynamic system.

• Accelerating Chronic Disease Clinical Study Reports With AI-Enabled Medical Writing And Expert Oversight

  AI-enabled medical writing can cut clinical study report timelines by up to 70%, helping teams manage growing chronic disease trial documentation without sacrificing quality or oversight.

• Why Cost Of Delivery, Not Rate, Is The Lever CROs Actually Control

  This piece breaks down why Agentic AI monitoring, nearly a third of trial cost, resets the economics, and why the first CRO to move first resets the price floor for everyone else.

• Trust In AI Agents Has To Be Earned Continuously, Not Just Once

  This white paper lays out how ongoing performance monitoring, version control, and audit-ready traceability keep agentic AI trustworthy in a regulated environment.