Discover how shadow AI appears in clinical trial technology and learn how to develop a practical control plan that protects participants and data without slowing innovation.
- The Integration Dilemma: Who Decides Which Tech Stack Wins?
- Why Clinical Trial Sites Are Drowning In Tech Chaos
- The Risks And Unresolved Rules Of Real-Time Clinical Trials
- What Real-Time Clinical Trials Demand From Your Tech Stack
- The FDA's RTCT Push: What It Is; Why It Matters
- Pharma's Digital Transformation: Where It's Really At
- How AI Is Changing Clinical Trial Design, Not Just Speed
- What Is Clinical Trials Day? Why Technology Helps Research Rise
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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2024: The Year Of EHR eSource In Clinical Trials
Discover the power of EHR eSource in 2024—unlock 10 compelling reasons to elevate your approach and enhance clinical research outcomes.
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Agentic AI Is Transforming Life Sciences Discovery And Operations
73% of pharma companies are planning or deploying agentic AI. Discover who’s leading and how intelligent agents are transforming R&D.
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From Buzzword To Backbone: AI Reshaping Clinical Trial Operations
For teams evaluating how to accelerate study startup without sacrificing rigor, this is a clear look at what AI-native trial technology makes possible now.
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How Pfizer Used Wearable DHTs To Reveal Meaningful Treatment Effects In Cancer Cachexia
Wearable digital health technologies (DHTs) played a crucial role in assessing patient-centric outcomes during pfizer's study into the benefits of using ponsegromab for treating cancer cachexia.
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Why Your eTMF Needs Role-Based Access
Discover how role-based access controls can offer a way for clinical teams to answer the tough questions from regulators, investors, and other parties.
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How MAC Clinical Research Innovates With CDMS/EDC
Discover how a partnership with one of Europe’s largest contract research organizations exemplifies the crucial role that technology plays in the realm of clinical studies.
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Break The Contracting Bottleneck To Speed Site Activation
With the appropriate training data, AI has the capability to automate information gathering, document creation, and workflow management.
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Using IRT Data To Automate And Optimize Clinical Supply
Learn how clinical teams can save between $150,000 and $1 million in annual drug and shipping costs through automated supply optimization.
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Preparing Clinical Teams for 2026: AI, Automation & Integration
Clinical teams should prepare for 2026 by embracing AI, automation, and unified platforms to improve efficiency, data quality, and scalability in increasingly complex trials.
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Achieving Faster, Simpler Validation Through Crowdsource UAT
An approach most often seen in the larger tech space, crowdsource UAT can offer several potential advantages for the clinical trial industry and eTMF validation.
RECENT NEWSLETTERS
- 07.03.26 -- Best Of June: AI, Data, And What's Fixing Trial Execution
- 07.02.26 -- How AI And Real-Time Tech Are Changing Trial Execution
- 06.25.26 -- How AI, Data, And Workflows Are Fixing Trial Execution
- 06.18.26 -- AI, eSource, And Site Tech: What's Actually Working In Trials
- 06.11.26 -- AI Governance, Site Tech Risk, And Trial Efficiency Gains