Newsletter | August 14, 2026

08.14.26 -- RBQM Ownership, Endpoint Safeguards & Early Immunology Insights Await

SPONSOR

Webinar: AI Reality Check in Drug Development: What’s Real and What’s Missing

AI is advancing drug discovery and development, but realizing its full potential depends on reliable, high-quality clinical data. Join Dr. Richard Graham, co-founder of TruTechnologies, and industry experts as they explore where AI is delivering value today, where challenges remain, and how sponsors can build the foundation for more effective AI-driven decisions across the drug development lifecycle. Click here to learn more.

TRIAL MONITORING

RBQM And Centralized Monitoring Need Action

After COVID forced sponsors to move faster than ever, many are now confronting a harder challenge: ownership. Marci Thear explains why RBQM and centralized monitoring only work when sponsors move beyond reviewing outputs and start acting on the signals.

Yes, Your Study Is At Risk: Risk Mitigation Plans For Endpoints

Ocular endpoints often introduce unique bottlenecks that can stall enrollment and compromise data integrity. This presentation provides the tools for a streamlined, resilient clinical trial strategy.

De-Risking Early Immunology Pipelines

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.

CLINICAL DATA MANAGEMENT & ANALYTICS

Quantifying The Impact Of AI-Enabled Trial Delivery

In March 2026, consultants Brian Whitlock and Samir Shah presented data at the TD Cowen Healthcare Conference quantifying the impact of AI-enabled trial delivery on a hypothetical Phase III study. On 4/1/26, Clinical Leader hosted an exclusive webinar summarizing the data Whitlock and Shah presented. The webinar also included Mark Travers and Sheryl Jacobs, two other pharma executive consultants, who gave their views on the data, along with practical maturation timing and barriers in pharma clinical development.

Accelerating Clinical And Drug Development Timelines With AI

This presentation brings together perspectives from across the industry to explore how AI is being applied today to improve clinical project management and unlock new opportunities in drug discovery.

 

Demanding More From AI Governance In Drug Safety

Embedding AI governance into your safety system from the start empowers trust and streamlines the path toward success; it is merely the evolution of good data and risk governance.

AI's Bottleneck In Clinical Trials Moved, And Most People Missed It

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.

From Raw Data To Real Insight

Streamline clinical trials by unifying disparate data sources with AI-driven automation. Reduce manual effort and accelerate timelines to focus on patient safety and faster therapeutic delivery.

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