Wearables and other technology to facilitate decentralized trials were supposed to ease patient burden. Elisa Cascade explains why the results depend entirely on design.
- The Synchronization Problem Clinical Research Isn't Watching
- Why Ophthalmology Trials Are Clinical Research's Toughest Tech Test
- Why Trustworthy Clinical Trial Data Starts As Analog, Not Digital
- Why Clinical Trial Coordinators Are Still The Human API
- The Cost And ROI Of Agentic AI In Clinical Trials: What Sponsors And CROs Need To Know
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
- Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Trends In Clinical Trials In 2025: Navigating A Transformative Landscape
In 2025, it is likely the clinical trial landscape will be shaped by advancements in artificial intelligence (AI), evolving recruitment strategies, and a renewed focus on equitable access.
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The Agentic AI Connectors That Matter In Clinical Development
An inside look at the architecture behind agentic AI in clinical research, including how modular agents, connectors, and MCP frameworks enable scalable, interoperable automation across complex trial ecosystems.
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Selecting The Right Site Payments Solution For Today's Clinical Trials: What To Look For
Are you managing site payments with spreadsheets and manual processes? Discover how automation can reduce administrative burden, improve site relationships, and accelerate clinical trial operations.
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Key Insights From The FDA's DHT Guidance
Check out a summary of the FDA’s guidance Framework for the Use of DHTs in Clinical Trials and what it means for sponsors and investigators using these innovative tools.
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Are You Aiming For The Bullseye Or Just The Target?
Learn what this author has to say about focusing on a clinical trial's outcome when developing Risk-Based Quality Management strategies.
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What Is Ontology? Learn About The Data Layer That Makes Agentic AI Work
Get an overview of ontology, the "semantic translator" that determines whether your AI investments actually compound or stay forever siloed.
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Don't Just Swap The Engine. Redesign The Factory.
Discover how AI-native technology is accelerating study startup, streamlining operations, and helping sponsors and CROs deliver therapies to patients faster.
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OpenClinica EDC: Friendly & Easy to Deploy?
Find out how OpenClinica stands out in the global EDC landscape through its user-friendly interface, strong integration capabilities, and extensive partnerships.
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Fast, Focused Medical Data Review: Use Cases By A Medical Monitor
See how the right data visualization tool can help medical monitors tailor and improve their data review processes and enhance their ability to identify safety signals both quickly and surely.
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Modern Decentralized Trials Demand Advanced eClinical Support
First-generation eClinical systems can create as many challenges as they resolve. A more coherent solution is necessary to ensure data integrity, ease site burdens, and promote greater patient-centricity.
- Decentralized Trials Promised Less Burden. Did They Deliver?
- Wireless Connectivity Is A Data Integrity Issue, Not IT
- Why Clinical AI Validation Needs Portability Testing Beyond A Single Accuracy Score
- The Synchronization Problem Clinical Research Isn't Watching
- Why Ophthalmology Trials Are Clinical Research's Toughest Tech Test
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