Learn how to comply with the EU AI Act when AI is used in GCP-critical eTMF contexts in part two of this series by Donatella Ballerini.
- 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
- From Supercomputers To The Cloud: How Pharma's R&D Infrastructure Transformation Impacts Clinical Trials
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Clinical Data Needs Smart Automation Now for a Better AI Future
AI holds the potential to enhance clinical trial efficiency, but it relies on a foundation of clean data and intelligent automation to be effective.
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How Long Is Your RTSM Risk Mitigation List?
While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.
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The Transformative Impact Of EDC Systems In 2025
The shift towards decentralized and hybrid trials underscores the significance of EDC in expanding geographic reach, fostering diversity in participant populations, and reduce participant burden.
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Trends Shaping The Pharmaceutical Industry's Future
Decentralized trials and patient choice are key to expanding study reach. Here, we examine how patient access increases with diverse options and AI-powered connections across health systems and sites.
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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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Strengthening eClinical Data Integrity: Data Monitoring
As the use of eCOA expands to incorporate more submission-critical elements, especially key endpoints and factors contributing to protocol analyses, learn how customized compliance strategies are more important than ever to ensure data integrity.
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The Role Of AI Throughout The Clinical Research Journey
AI revolutionizes clinical trials by optimizing study design, automating processes, enhancing patient-centric approaches, and providing real-time insights.
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Finding The Optimal IRT/RTSM Design For Your Clinical Trial
Determine the best IRT/RTSM design for your trial through consideration of the user, data collection, and future-proofing.
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When Protocol Amendments Meet RTSM: From Headache To High-Performance
Learn why an RTSM solution should be adaptive and flexible, and should help clinical trial teams uncover the best ways to handle protocol amendments.
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Streamlined Site Study Start-Up
Explore the critical process of Study Start-Up (SSU) in clinical trials, with an emphasis on the collaborative efforts of sponsors and research sites to enhance efficiency and reduce timelines.
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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