From The Editor

  1. The Data Was Already There: RWE's Real Bottleneck Is People 9/7/2026

    A pharma medical affairs veteran explains why real-world evidence’s biggest constraint isn’t data volume; it’s having enough people to interpret what AI finds.

  2. Duplicate Tech, Not Technology, Is Burning Out Trial Sites 9/3/2026

    Clinical trial sites aren’t overwhelmed by technology – they’re overwhelmed by entering the same data into disconnected systems again and again.

  3. The Real Reason Clinical Trial Systems Don't Talk To Each Other 8/27/2026

    Clinical trial technology isn’t the barrier to interoperability; the economics are. Two industry leaders explain why nothing forces systems to connect.

  4. The Vendor Questions Most Clinical Tech Buyers Forget To Ask 8/24/2026

    A practical checklist for evaluating decentralized trial technology vendors, built from an RF engineer’s view of where data quality actually breaks.

  5. AI In Clinical Trials: Stop Hyping It, Start Proving It 8/20/2026

    David Vulcano wants clinical research to report AI failures with the same rigor it applies to adverse events. Here’s why that call-to-action matters.

  6. What AI Can't Fix In Decentralized Clinical Trial Data 8/17/2026

    An RF and semiconductor engineer explains why AI can’t compensate for hardware and connectivity errors, and what questions to ask instead.

  7. Decentralized Trials Promised Less Burden. Did They Deliver? 8/13/2026

    Wearables and other technology to facilitate decentralized trials were supposed to ease patient burden. Elisa Cascade explains why the results depend entirely on design.

  8. Wireless Connectivity Is A Data Integrity Issue, Not IT 8/10/2026

    An RF engineer explains why packet loss, multipath interference, and battery tradeoffs are scientific validity issues, not IT problems.

  9. 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.

  10. 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.