Central Laboratories White Papers & Articles
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AI, Virtual Participants, and the Evolving FDA Regulatory Landscape
5/27/2026
Understanding emerging requirements around transparency, risk, and governance is essential for responsibly advancing AI-driven innovation in regulated environments.
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The Regulatory Governance Gap In Clinical Trial AI
5/21/2026
Regulators are no longer questioning whether AI belongs in clinical trials; however, they’re demanding a governed infrastructure that makes every AI-driven decision auditable and defensible.
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Capture Was Step One. Execution Is Step Two.
5/21/2026
Electronic data capture transformed clinical trials, but advancing a study depends on decision workflows that interpret data, coordinate teams, and determine meaningful next actions.
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De-Risk Trials For Accelerated Approval And Pipeline Optimization
5/20/2026
This e-book explores how AI-powered Historical Clinical Trial Data (HCTD) is reshaping modern trial design for oncology and rare disease research.
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Rethinking How We Forecast Clinical Trial Timelines
5/12/2026
Machine learning is transforming clinical trial reporting by replacing static enrollment forecasts with dynamic, real-time milestone projections that improve predictability and oversight.
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State of Materiovigilance: Gaps, Technology & Outsourcing
5/12/2026
Explore how pharma and biotech companies are using AI, outsourcing, and new technologies to strengthen materiovigilance for complex drug-device products.
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Reducing Inventory Errors In Clinical Trials
5/8/2026
Can a digital double-check save your trial from data errors? How does verifying shipments at receipt slash inventory mistakes? Learn to protect protocol integrity and patient safety.
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Transparency In Action: The Key To Trust And Efficiency
5/8/2026
Trust is the backbone of clinical research. Learn how you can utilize transparency and data integrity to protect participants, meet regulatory standards, and drive medical innovation.
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Own Your Data, Accelerate Your Cure
5/6/2026
Move from passive donor to active innovator. Explore how patient communities are building their own research infrastructure and using AI to bypass traditional barriers to drug development.
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A Blueprint For Modern Obesity Research
5/6/2026
The landscape of obesity and GLP-1 research has reached a saturation point. To successfully scale to the 5,000-patient registries now required for long-term evidence, a shift in operational architecture is essential.