Clinical Trial Technology Editorial

1. Who Owns Your Clinical Trial Software When The Vendor Leaves? 10/22/2026

   When a clinical trial software vendor exits, sponsors still own the risk. Learn what to secure before signing a contract to protect data, validation, and continuity.

2. Founders, Fortitude, And Clinical Trials 10/20/2026

   After talking with six clinical trials-related company founders, I came away admiring the tenacity, fortitude, and curiosity it takes to turn an idea into a business — and keep it going through setbacks, uncertainty, and constant change.

3. Your EDC Query Count Is Trying To Tell You Something 10/14/2026

   A rising EDC query count may reveal more than dirty data. Learn how query patterns can expose upstream problems in trial workflows, training, and CRF design.

4. What I Heard When I Crashed Three ING Dive Teams 10/13/2026

   After attending three Innovation Network Gathering Dive Teams, Chief Editor Dan Schell shares what he heard about accelerating study startup, rethinking investigator meetings, and leading through AI adoption—along with a reminder that promising ideas still need stakeholder support, measurable evidence, and practical execution.

5. To Pick The Right Medical LLM, First Assess Your Readiness 10/9/2026

   Learn how to evaluate medical LLMs for clinical trials by weighing readiness, risk, validation, integration, hidden costs, and supplier controls.

6. Is Moving From One-Off Solutions To A Technology Platform The Best Fit For Your R&D? 9/29/2026

   Integrated technology platforms can connect R&D data, accelerate trials, strengthen quality, and cut costs — but successful adoption requires more than AI.

7. How Digital Twins Are Reshaping Clinical R&D 9/28/2026

   Discover how digital twins are helping predict outcomes, streamline recruitment, reduce patient burden, and accelerate clinical development.

8. Before Adding AI, Fix The Process 9/17/2026

   Regeneron’s Kaniel Cassady argues that “doing more with less” in clinical development should start with questioning existing processes, unnecessary data collection, and outdated workflows before turning to AI and other new technologies.

9. How AI Will Reshape Study Start-Up 9/14/2026

   AI can help study start-up teams move from tracking delays to predicting risks—if human judgment, data quality, and governance stay central.

10. What Will Life Science Orgs Do When The AI Bill Comes Through? 9/9/2026

    AI is transforming clinical development, but what happens when usage costs spike? Jon Newton explains how to govern it before the bill lands.