Sandboxing, demonstrated value, and a hard line at clinical judgment: a physician-researcher’s three-question test before AI touches a trial.
- Inside The Rush To Accelerated Approval: A Consultant's View
- Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
- Building Effective, Retrospective Decision-Grade Disease Registries
- To Pick The Right Medical LLM, First Assess Your Readiness
- Clinical Trial Tech Fails On Systems, Not Software
- Inside A Sponsor-Site Relationship That Actually Worked
- Real-World Data Won't Replace Trials. Here's Its Real Job
- Inside Virtua Health's Pipeline For Anonymizing Trial Imaging Data
ON-DEMAND WEBINARS
See how AI handles real site documents in real time and walk away with a practical, honest look at what modern data capture could mean for your trial operations.
The clinical research industry has been reluctant to adopt eConsent for several reasons. Unearth how the industry should continue exploring and implementing digital technologies in earnest in the future.
Tune in as Castor’s Director of Solutions Consulting Kristen Harnack illustrates how a modular approach to clinical technology can help you conduct an RWE study.
AI is speeding clinical trials — but silos and complexity persist. Discover how connected systems and automation can enable faster, more adaptive development.
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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The One Moment You Have Leverage In A Clinical Trial, And Why It Disappears FastDiscover how to maintain strategic leverage during vendor selection. Learn to identify flexible, long-term partners who keep clinical trials on track before contracts are signed.
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![GettyImages-1310986619 patient]( "Collecting Trial Data From Patients In Remote Areas")
Collecting Trial Data From Patients In Remote AreasLearn how mobile technology can promote trial inclusivity and diversity, and its potential to revolutionize clinical studies, making them more accessible and representative of the population.
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Digital Advancements In Clinical Development - What's Next?Review this year's predictions for improving digital biomarkers and data analytics, bettering endpoint sensitivity and specificity, and reducing timelines and costs of clinical development.
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![Data-security-privacy-GettyImages-1162361864]( "Beginner's Guide To 21 CFR Part 11 Compliance")
Beginner's Guide To 21 CFR Part 11 ComplianceComputer systems used for clinical trials fall under Food and Drug Administration (FDA) 21 CFR Part 11. While Part 11 is widely known, this blog explains how it fits in with your research software.
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Bringing Clinical Research To The Patient Using Patient-Centric TechBy fostering daily interactions between patients and technology, these smart hubs offer a sustainable approach to ensuring the success and integrity of clinical trials in an evolving landscape of drug development.
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Sustainable Clinical Trials Through eClinical InnovationClinical trials are essential to advancing medicine, yet they carry significant environmental costs. Inefficiencies not only drive emissions but also risk drug shortages and trial delays, and clinical technology solutions offer a pathway to more sustainable research.
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Cagey Sponsors, Defensive Vendors: Observations On How Transparency Breaks DownDiscover how hidden operational uncertainties trigger defensive pricing and scope disputes—and how early transparency builds stable, high-performing research partnerships.
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Running Compliant Studies Without Enterprise EDC OverheadLow-complexity medical device and IVD studies often fall between enterprise EDC systems and spreadsheets. This webinar shows how a compliant, audit-ready alternative works in practice.
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How Medidata Link Is Supporting Moderna's Clinical Trial Real-World Data Linkage InitiativesDiscover how Medidata Link empowers Moderna's clinical trial RWD linkage initiatives, enhancing insights into treatment outcomes while minimizing administrative burdens.
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![vendor-support-clinical-trials]( "Vendor Selection Bias: Why Structured Decisions Often Fail")
Vendor Selection Bias: Why Structured Decisions Often FailLearn how subtle influences derail decisions and discover proven safeguards that promote transparency, accountability, and shared ownership for better trial outcomes.
- A Framework For Deploying AI In Clinical Trials Without The Hype
- Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders
- Inside The Rush To Accelerated Approval: A Consultant's View
- Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
- Clinical Trial Tech Fails On Systems, Not Software
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