Featured Editorial

1. Why Clinical Trial Coordinators Are Still The Human API 7/23/2026

   A CRC who touches eight systems before lunch explains why clinical research’s biggest technology problem may be interoperability, not a lack of software.

2. The Cost And ROI Of Agentic AI In Clinical Trials: What Sponsors And CROs Need To Know 7/21/2026

   Beroe Inc. analyst T.G. Prasanna discusses agentic AI for clinical research and how it must be evaluated as a regulated operating cost transformation, with platform, orchestration, compliance, validation, and oversight costs modeled together.

3. Designing eCOA Technology Patients Can Actually Use 7/15/2026

   Why eCOA usability problems start upstream in trial design and workflow, not inside the app itself.

4. Clinical Trial Technology Doesn't Fail – It Fails At The Handoff 7/15/2026

   Why clinical trial technology breaks down at sponsor-CRO-site handoffs, not inside any single system.

5. Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It 7/13/2026

   A working demo might look promising, but it doesn't tell you whether the tech can be shipped, integrated, validated, and accepted by regulator. Tech consultant Lukasz Lazewski explains how to look past the allure and evaluate its true functionality.

6. Inside Versiti's Data Strategy: Building AI-Ready Research Systems 7/10/2026

   Versiti’s Banu Santebennur explains how clean data, semantic layers, and cautious tech adoption prepare clinical research for AI.

7. How Versiti Turns Data Into A Lifeline For Rare Blood Patients 7/10/2026

   Versiti’s blood, diagnostic, and research teams show how a nonprofit uses technology to connect donors to the patients who need them most.

8. What Is Shadow AI, And How Does It Impact Clinical Trial Tech? 6/25/2026

   Discover how shadow AI appears in clinical trial technology and learn how to develop a practical control plan that protects participants and data without slowing innovation.

9. Will AI And Agile Project Management Help Advance RBM? 6/24/2026

   Will AI-based tools embedded into risk based-monitoring prompt an Agile project management moment for clinical research? Sidharth Ananthanarayan explains why AI-based tools are not the answer but part of it.

10. Building A Clinical Trial Tech Stack That Actually Works 6/9/2026

    The right clinical trial tech stack isn’t the most complete one; it’s the one built with sites, funded fairly, and designed to remove friction, not add it.