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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From Startup To Public Company: Scaling Finance Operations
When basic tools no longer support your growing company, robust systems, such as ERPs, become essential for managing complex financial reporting, regulatory compliance, and multi-entity tracking.
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Phase 4 Trials: A Critical Component Of Post-Marketing Insight
Uncover how Phase 4 trials play an essential role in gathering additional real-world data on the treatment’s performance over a longer period of time and in more diverse patient populations.
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Ready For Remote: eCOA Adapts To A Hybrid World
Due to the global health impact of COVID-19, many aspects of daily life have been moved to a hybrid model, meaning a mix of in-person and technology-enabled interactions In this blog, learn why eCOAs are especially well-suited for hybrid clinical trials.
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How Can Sponsors Enable Research-Naïve Clinical Trial Sites
Clinical trial capacity in the U.S. is heavily concentrated, and technology is playing a critical role in enabling a shift to expanding site networks and alleviating the burden on sites and patients.
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Remote Captured Sleep Data Unlocks New Clinical Insights
Gathering rich, real-world data in formal clinical trials has been difficult. Gain insight into ways to start collecting quality sleep data remotely by leveraging cloud-based data ingestion and processing.
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The Role Of AI Throughout The Clinical Research Journey
AI revolutionizes clinical trials by optimizing study design, automating processes, enhancing patient-centric approaches, and providing real-time insights.
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How Modern Platforms Enable Connected Clinical Data Systems And Flexible Study Workflows
Digital trials demand seamless data flow. APIs reduce manual work, improve oversight, and power flexible, connected study environments.
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Reduce The Need To Perform A 12-Lead ECG In Resource Limited Settings
Remote cardiac monitoring technology is enabling the pharmaceutical industry to shift towards innovative, efficient, and patient-friendly clinical trials.
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You Don't Have To Digitize Everything, You Just Have To Start
Feeling left behind by the sudden digitization of clinical trials? Decentralized clinical trials can be adapted to best serve the patient population, condition, or therapy you’re investigating.
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Reduce Time, Cost, & Risk With Clinical Study Data Review Software
See how a top 10 global biopharmaceutical company implemented a single data review system to reduce the time, cost, and risk of running its clinical trials while accelerating the time to market.
- 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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