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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The Tale Of Two Clinical Supply Chains: The Risks Of Fragmented Systems
Here we examine two contrasting approaches to showcase how a centralized inventory management system is an effective tool for supporting a robust supply chain.
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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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Clinical Trial Startup: Insights From The Industry
Uncover key survey findings gleaned from the perspectives of over 500 clinical researchers regarding technological trends and recommendations for enhancing the overall site experience.
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Building A Gold Standard Trial Experience In Japan
Hear how Medable worked with a Japanese sponsor to elevate their trial experience, achieve >90% patient and site adherence, and beat their forecasted FPI date, creating new eCOA standards adopted across all the customer’s vendors.
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How AI And ML Can Transform Clinical Trial Conduct
There’s no doubt that 2023 will be remembered as the year that artificial intelligence and machine learning became mainstream. Gain an overview of the uses of AI and ML in clinical conduct.
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Beyond the Acronyms: What Today's Trials Really Need From RTSM
Consider how resin selection, process optimization, and system qualification create scalable workflows that meet evolving regulatory and operational demands in modern biomanufacturing.
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How To Streamline The Complexity Of Clinical Trials
Streamlining intricate end-to-end processes ensures that data moves with speed and security, converting the current landscape of logistical bottlenecks into a transparent, high-efficiency engine.
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Zero Disruptions: Migrating 14 Mid-Study Clinical Trials In 16 Months
Uncover how Imperial College London was able to effectively transfer 14 ongoing studies, encompassing over 1,700 patients and 150,000+ forms, onto a new EDC platform within 16 months.
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How Capturing Data Directly Is Transforming Trials
With the right eSource technology, discover how trial data can be aggregated, integrated, and classified to accelerate data analysis for insight-based decisions in real time.
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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.
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