David Vulcano wants clinical research to report AI failures with the same rigor it applies to adverse events. Here’s why that call-to-action matters.
- 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
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Strategies For More Accurate Clinical Trial Forecasting And Budgeting
Explore some of the best strategies and practices to ensure clinical trial staff get approval for their budgets, with forecasts as accurate as possible.
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Why Prioritizing Patients Changes How Study Teams Approach DHTs
Participants are the number one contributing factor to the success of remote digital health technology. Consider these points when using DHTs to support patient-centered drug development.
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Reliable Methods For Examining Long-Term Wearables In Gait & Sway
Review this evaluation framework for wear duration when confirming if wearable sensor-based methods for capturing gait and balance impairment in the free-living environment are fit for purpose.
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Recruitment Capabilities Delivering In Today's Trial Landscape
Recruitment demands diverse capabilities — AI, data analytics, stakeholder engagement, operational excellence — to meet complex protocols and deliver high-quality patient enrollment outcomes.
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Flexible By Design: Support For Early-Phase Oncology Trial
Shifting cohorts, doses, and protocols challenge early-phase oncology trials. Learn how adaptable technology keeps studies on track.
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4 Key Integrations For Your Clinical Trial Management System
Discover how implementing a clinical trial management system (CTMS) can generate significant improvements to the way an organization understands their research portfolio, manages the financial components of trials, leverages reporting and analytics, and more.
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Gradually Investing In Direct Data Capture Is Inevitable
Given study decentralization and the many electronic sources of data now available, it is time for sponsors and contract research organizations to face the inevitable: EDCs need to be “sunsetted.”
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Better eConsent Through Education Best Practices
eConsent can have a positive impact on participant retention, but learn why that is only part of the challenge of meeting participant needs in a clinical trial.
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What Are Decentralized Clinical Trials (DCTs)?
Discover how DCTs leverage “virtual” tools, such as telemedicine, sensory-based technologies, wearable medical devices, and direct delivery of study drugs and materials to patients’ homes.
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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.
- AI In Clinical Trials: Stop Hyping It, Start Proving It
- What AI Can't Fix In Decentralized Clinical Trial Data
- 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
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