Featured Editorial

  1. Clinical Trial Tech Fails On Systems, Not Software 10/8/2026

    A Wits RHI sub-investigator explains why fragmented CRFs, labs, and randomization platforms – not bad software – undermine clinical trial technology.

  2. Inside A Sponsor-Site Relationship That Actually Worked 10/8/2026

    A former sub-investigator on the co-chair model, escalation process, and CAPA structure that kept one clinical trial site’s sponsor relationship functional.

  3. Real-World Data Won't Replace Trials. Here's Its Real Job 10/6/2026

    A biostatistician on where real-world data changes outcomes, and where FDA still won’t accept it as a trial comparator.

  4. Inside Virtua Health's Pipeline For Anonymizing Trial Imaging Data 10/5/2026

    How Virtua Health vets, trains, and re-engineers its imaging technology to safely anonymize data for clinical trial research.

  5. What Ecological Momentary Assessment Taught Us About Real-World Hearing Outcomes 10/5/2026

    Ecological momentary assessment (EMA) reveals how people experience hearing challenges beyond the clinic. Here, researchers highlight its relevance in designing real-world hearing studies.

  6. AI Governance Is Becoming A Competitive Edge In Trials 10/1/2026

    Strong data hygiene, formal governance, and human oversight are becoming essential to responsible, scalable AI adoption in clinical trials.

  7. Why The Biostatistician's Seat At The Table Keeps Vanishing 9/29/2026

    A Pfizer and Cytel veteran on why statisticians belong at trial design, and why fewer sponsors keep them in-house.

  8. 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.

  9. From 73% Noncompliant To 2.4%: Building A Compliance Office 9/28/2026

    How one research administrator cut a university's clinical trial disclosure noncompliance from 73% to 2.4% in two years, then built a second office.

  10. How AI Is Used To Predict Trial Performance Before Enrollment 9/24/2026

    AI and early digital twin models can help forecast trial performance, refine site feasibility, and anticipate operational needs before enrollment begins.