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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Customizing EDC Workflows For Specialty Pharma, Rare Disease Trials
Rare disease and specialty pharma trials demand a level of flexibility with electronic data capture systems that can adapt dynamically without sacrificing data integrity.
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Advancements In Digital Health Applications In Clinical Trials
Reflecting on the past year, take time to review the significant strides the digital health industry has made, especially in digital measures for clinical research.
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Endpoint Reliability And eCOA Solutions Facilitate CNS Trial Success
A Japan-based pharmaceutical development company utilized Signant's eCOA solutions and knowledge to ensure the reliability of endpoints in their Phase 3 and extended-duration CNS trials.
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Using Virtual Study Coordinators For EDC Entry And Query Resolution To Speed Up Data Access And Cleaning
The piece showcases how the effective use of CRIO can significantly enhance site performance, supporting recruitment and diversity objectives for sponsors.
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The Power Of Predictive Analytics In Clinical Trial Design
Discover how predictive analytics address clinical trial challenges by applying statistical and modeling techniques to current and historical data.
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AI In Clinical Trials: Practical Use Cases For Data Management
AI is improving daily data management with automation, faster issue detection, and smarter reviews. This piece outlines practical use cases and what teams need to enable real, sustainable adoption.
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How Can Electronic Data Capture Better Serve Decentralized Clinical Trials?
Newer, nimbler technology providers face a steep climb if they want to convince sponsors to sunset traditional EDC in favor of direct data capture only, or a unified decentralized trial platform that everything plugs into. Will EDC evolve to fix its existing problems, or will a different type of decentralized trial platform (or single platform model) replace pick-and-pull, add-and-subtract modules of clinical trial technology?
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From Data Silos To Unified Insights: The Power Of AI In Clinical Trials
AI tools like TrialKit AI revolutionize clinical trials by integrating diverse data sources, including wearables, breaking silos, enhancing insights, and enabling smarter, more patient-centered research.
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Enhancing Participant Payments: A New Approach
Managing participant payments in clinical trials is a multifaceted challenge impacting participants, sites, and sponsors alike. Delve into the intricacies and numerous hurdles faced in this process.
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How Heron Therapeutics Sped Up Database Creation
Electronic data capture (EDC) is straightforward, in theory. However, not every EDC is purpose-designed for ease of use by study teams, and some are easier to use and more intuitive than others.
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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