Featured Editorial
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What South Africa's Trial Sites Teach Global Clinical Research
10/22/2026
A physician who ran trials in Johannesburg and rural Mafikeng compares South Africa’s clinical research infrastructure to the UK’s and explains what each gets wrong.
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Research Design Mistakes Even Experienced Analysts Still Make
10/20/2026
A Columbia research design instructor on the mistakes trained analysts still make, and the habit that fixes most of them.
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The Infrastructure Behind Virtua Health's Push Toward 1.5 Million Studies A Year
10/19/2026
How Virtua Health is rebuilding its imaging infrastructure – cloud migration, Epic integration, and vendor security gaps – to keep pace with volume.
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A Framework For Deploying AI In Clinical Trials Without The Hype
10/15/2026
Sandboxing, demonstrated value, and a hard line at clinical judgment: a physician-researcher’s three-question test before AI touches a trial.
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Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders
10/15/2026
A generational reversal in technology adoption, and why it’s a change-management problem clinical research leaders need to plan for now.
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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.
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Inside The Rush To Accelerated Approval: A Consultant's View
10/13/2026
A biostatistics consultant on the pattern she keeps seeing: sponsors skipping steps to chase accelerated approval.
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Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
10/12/2026
Inside Virtua Health’s AI governance model, where senior operational leaders rank every project, and IT holds no vote.
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Building Effective, Retrospective Decision-Grade Disease Registries
10/9/2026
Learn how to build decision-grade disease registries that turn real-world data into reliable evidence for regulatory, clinical, and market-access decisions.
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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.