Versiti’s Banu Santebennur explains how clean data, semantic layers, and cautious tech adoption prepare clinical research for AI.
- Will AI And Agile Project Management Help Advance RBM?
- Building A Clinical Trial Tech Stack That Actually Works
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Crowdsource UAT: An Opportunity For Future Validation
IQVIA, a leading health information technology and clinical research company, has introduced a new validation model for eTMF patterned after approaches used within the larger tech space.
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How Pfizer Used Wearable DHTs To Reveal Meaningful Treatment Effects In Cancer Cachexia
Wearable digital health technologies (DHTs) played a crucial role in assessing patient-centric outcomes during pfizer's study into the benefits of using ponsegromab for treating cancer cachexia.
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The Significance Of Quality Data In Meeting FDA Regulatory Scrutiny
Data Science expert Rod McGlashing explains how scrutiny from the FDA spurs regulatory compliance, resulting in better data quality and the creation of optimal applications for intellectual property.
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3 Aspects To Consider When Selecting Your Next EDC Solution
Not all electronic data collection systems are of the same quality or have the same key features. When selecting an EDC provider, keep these three aspects in mind.
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Early-Stage Biotech's AI Advantage Is A Window That Closes
The "greenfield" advantage allows biotechs to build AI-native trials from the start, replacing manual data entry with automated workflows and structured human oversight for better data integrity.
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Own Your Data, Accelerate Your Cure
Move from passive donor to active innovator. Explore how patient communities are building their own research infrastructure and using AI to bypass traditional barriers to drug development.
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Unlocking Scalability In Pharma With AI
Uncover how artificial intelligence and machine learning could emerge as the most pivotal technologies of our era, with the potential to facilitate scalability in pharmaceuticals and other industries.
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4 Key eCOA Benefits To Speed Up Your Clinical Trial
As the healthcare landscape moves towards a patient-centric approach, explore how sponsors and regulatory bodies look to eCOAs more and more for obtaining patient data.
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How Imaging Workflows Get Derailed: Four Fixes Teams Can Use Now
Learn how to prevent data gaps by addressing common imaging challenges through proactive protocol compliance, automated tracking, and streamlined collaboration for better trial outcomes.
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Discover The Value Your eTMF Should Deliver
A well-prepared Trial Master File (TMF) is critical to the success of any clinical trial. Because the TMF tells the whole story of a study – including every data point collected and decision made – managing it throughout the course of the trial is challenging.
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