Central Laboratories White Papers & Articles
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AI's Bottleneck In Clinical Trials Moved, And Most People Missed It
7/20/2026
AI has accelerated drug discovery, but the real bottleneck is now clinical trial operations. Explore why regulatory success depends on auditable data governance, not model speed.
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From Data Silos to Connected Intelligence: How AI Is Unifying Clinical Research Data
7/20/2026
AI tools like TrialKit AI revolutionize clinical trials by integrating diverse data sources, including wearables, breaking silos, enhancing insights, and enabling smarter, more patient-centered research.
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Clinical Trial Data Storage Requirements: What Sponsors Need To Know
7/15/2026
Managing growing clinical trial data requires the right storage strategy. Learn how to balance scalability, security, compliance, and operational efficiency.
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It's A Mad Men World For IRB Review Of Clinical Trial Advertisements
7/13/2026
Modern digital tools and AI have transformed clinical trial recruitment, outpacing decades-old regulations. Discover how to apply core ethical principles to protect participant privacy and equity.
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Interpreting Early Inflammation Signals: What Early Human Data Tells Us
7/10/2026
Early inflammatory signals can mislead without context. Benchmarked human challenge models reveal true biological activity, guiding decisions on mechanism, dosing, and clinical development.
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Responsible AI In Clinical Trials Starts With How It Is Designed
7/8/2026
Explore how trials can responsibly use AI to move faster while keeping human judgment, data protections, and auditability intact.
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Why Benchmarking Inflammatory Models Matters: What Early Human Data Tells Us
7/6/2026
Benchmarking immune challenge models clarifies early pharmacodynamic signals, helping teams distinguish true target engagement from variability, prioritize endpoints, and make confident decisions.
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Expression Of Key Immunology Drug Targets In Human Inflammatory Challenge Models
7/6/2026
Human challenge models reveal immune pathway behavior in controlled settings, linking early research to outcomes and helping confirm target engagement, refine dosing, and reduce development uncertainty.
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Data Quality And Monitoring In Clinical Trials: Reducing Errors And Ensuring Compliance
7/5/2026
Clear data ownership and tailored reporting tools reduce errors and manual reconciliation, keeping trial data accurate and audit-ready.
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Who Is Responsible When AI Helps Write The Consent Form?
6/29/2026
AI is reshaping consent materials, but accuracy, oversight, and transparency remain essential. As guidance evolves, organizations must balance innovation with accountability to protect participants.