How Jonas Salk and Albert Sabin pioneered double-blind methodology, HeLa cell assays, and IBM data processing – innovations that became the global standard for clinical trials.
- Making AI Safety Routine: How Sites And Sponsors Can Continuously Monitor Clinical AI
- How Can AI Change Computerized System Validation?
- Digital Tools Are Failing Patients: 3 Ways Clinical Supply Can Protect Data Integrity
- Virtual Reality Endpoints Improve Measurement Of Patients' Real-World Benefit
- Can't-Miss Advice On Selecting Your First AI-Enabled Vendor
- The Site Perspective: Why Ambient AI Is The Missing Link In Clinical Trial Data Integrity
- Why HEOR Keeps Arriving Too Late — And How ClinOps Can Fix It
- Accelerating Clinical Innovation With Open-Source Medical Platforms
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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EDC System Provides Flexibility, Scalability For Mid-Study Changes
Discover the importance of using a robust, scalable, and flexible EDC solution that handles mid-study changes for even the most complex clinical trials.
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Data-Driven Physician Engagement For Ultra-Rare Diseases
How can an effective partnership help you to utilize advanced data analytics to address the significant challenges of clinical trials centered around ultra-rare diseases?
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Why Prospective Real-World Studies Hold Promise For Research
Clinical research has always been a cautious and time-consuming affair. Discover how prospective real-world studies are poised to transform the role of RWE in clinical research.
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Navigating eCOA Licensing And Localization In Clinical Trials
eCOA has been key in trials for 20 years, but issues like licensing, localization, and execution quality still challenge sponsors.
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The Future Of AI In Clinical Research, Delivered Today
The FDA's new guidance outlines a future where AI models support regulatory submissions, taking a pivotal step toward modernizing regulatory science.
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Building Patient-Focused eCOA Strategies: Insights And Best Practices
Discover why the use of electronic clinical outcome assessments (eCOA) in clinical research is becoming an increasingly important part of study design in this article.
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Digital Health Solution For CRS Detection And Prediction
Explore how digital health technologies offer a data-driven solution to cytokine release syndrome (CRS) monitoring, reducing inpatient care requirements while ensuring patient safety.
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The Vendor Selection Blunder: An Expensive Oversight In Clinical Trials
Vendor selection isn’t just procedural — it shapes trial outcomes. Even with a solid process, missteps can ripple through timelines, budgets, and team morale. Choose wisely.
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The Regulatory Binder Checklist For Clinical Trial Sites
By following this checklist, research teams can enhance organizational efficiency, maintain compliance with regulatory standards, and confidently navigate the complexities of documentation management.
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How Can Sponsors Enable Research-Naïve Clinical Trial Sites
Clinical trial capacity in the U.S. is heavily concentrated, and technology is playing a critical role in enabling a shift to expanding site networks and alleviating the burden on sites and patients.
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RECENT NEWSLETTERS
- 02.12.26 -- How Can AI Change Computerized System Validation?
- 02.05.26 -- Digital Tools Are Failing Patients: Three Ways Clinical Supply Protects Data
- 01.29.26 -- Digital Protocols Are At An Inflection Point: A Conversation With Novartis And TransCelerate Leaders
- 01.22.26 -- The Role Of Open Source In Powering CDISC 360i
- 01.15.26 -- Why Ambient AI Is The Missing Link In Clinical Trial Data Integrity