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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Hidden Costs Of Data Cleaning: Build Quality At The Source
Hidden costs from downstream data cleaning slow trials and raise risk. Explore why building quality at the source accelerates timelines, reduces errors, and gives sponsors a competitive edge.
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Solving Key eCOA Challenges Through Digital Trials—Proof Points!
Medable has reached some important milestones and shares them in its end-of-year report. Check it out to see what game-changing results they've brought to their customers.
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Medical Device Clinical Trials: Key Considerations For Sponsors And CROs
Medical device trials must align risk class, regulations, and study design. Strong oversight, data, and proactive safety planning support reliable evidence and market approval.
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How Platform Unification Is Shaping Clinical Trial Technology
As we look toward 2026, the conversation around clinical trial technology is shifting from simple digitization to true platform unification.
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Bridging Clinical Efficacy And Real-World Effectiveness In Digital Therapeutics Trials
No matter how conclusive clinical evidence is for medical treatments, developers may struggle to see precisely how their treatment performs in the real world—outside the controlled environment of the clinic or office.
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Evidence Generation Evolved
Explore how innovative strategies are cutting clinical trial times in half and accelerating the delivery of life-saving treatments.
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Consolidating Access Into A Single Platform: A Site CEO's Perspective
By providing research sites with a unified, streamlined interface, we can reduce operational friction, enhance collaboration, and ultimately accelerate the development of new therapies.
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Automation, Analytics, AI, And The Future Of Trial Monitoring
More teams are utilizing AI and automation to recruit and retain more patients. Discover how predictive analytics allow clinical trial teams to make better prognostications about patient behavior.
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Patient Diversity Case Study: RWD Solutions
See how by leveraging medical claims and diversity data, this clinical trial sponsor was able to identify relevant patients meeting the trial’s I/E criteria, broken out by race and gender.
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Setting A New Client Standard In Study Closeout Timelines
Learn how a top-10 global pharmaceutical company achieved a significantly faster time to market for a high-profile therapy.
RECENT NEWSLETTERS
- 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
- 06.06.26 -- Best Of May: AI Risk, CRO Strategy, And Trial Cost Control
- 06.04.26 -- Why Clinical Execution — Not Tech — Is Trials' Biggest Risk