Featured Editorial

  1. Why Clinical AI Validation Needs Portability Testing Beyond A Single Accuracy Score 8/6/2026

    A peer-reviewed study on voice AI and depression screening shows why demographic portability testing matters before deploying clinical AI tools.

  2. The Synchronization Problem Clinical Research Isn't Watching 8/3/2026

    Why timestamp drift between wearable sensors quietly undermines decentralized trial data, and why almost no one is asking about it.

  3. Why Ophthalmology Trials Are Clinical Research's Toughest Tech Test 7/30/2026

    A three-year ophthalmology coordinator on imaging integration, independent reading centers, and the one staffing problem no scheduling software has solved yet.

  4. Why Trustworthy Clinical Trial Data Starts As Analog, Not Digital 7/27/2026

    An RF engineer explains why sensor physics and analog design, not software, determine whether wearable trial data can be trusted.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.