An RF engineer explains why packet loss, multipath interference, and battery tradeoffs are scientific validity issues, not IT problems.
- 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
- Inside Versiti's Data Strategy: Building AI-Ready Research Systems
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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5 Key Takeaways From The FDA's Real-World Evidence Guidance
With our advanced technology and expertise, sponsors can confidently conduct RWE studies that are efficient and aligned with the FDA’s data-driven vision for healthcare.
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A Guide To RTSM For Clinical Trials
Looking ahead, the evolution of RTSM in clinical trials points towards cloud-based solutions, heightened emphasis on patient safety, and greater collaboration among stakeholders. Learn how you can prepare.
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3 Steps To Improve Site Acceptance Of ePRO In Medical Device Trials
Discover how with the proper understanding of a site’s barriers, early engagement, and prioritizing effective training, site acceptance of ePRO can be improved.
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Bring Your Own Device (BYOD) Clinical Trials
Bring Your Own Device (BYOD) is revolutionizing clinical trials by enabling participants and researchers to use their own smartphones, tablets, or computers to collect and manage data.
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Reducing Supply Risk in Cell & Gene Therapy Trials
In cell and gene therapy trials, success depends on coordination. Learn how visibility, workflow control, and alignment help reduce risk and protect patient-specific treatments.
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Real-World Data Capture With EDC
This case study explores how a Ph.D. candidate partnered with Castor to develop software that seamlessly moves RWD between hospital systems and Castor’s EDC.
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Three Ways That eCOA Improves Data Quality
Follow this quick guide to the key ways that eCOA works to help all study stakeholders (patients, caregivers, study teams, etc.) produce better data.
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The Agentic AI Readiness Myths Costing Sponsors Time
Many clinical organizations believe they must clean data and unify systems before adopting agentic AI. New approaches show teams can start now, create value faster, and improve readiness as they scale.
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How To Improve Patient Engagement In Clinical Trials
Stronger patient engagement improves recruitment, retention, and data quality. Reducing burden, improving communication, and meeting real needs can transform trials and keep studies on track.
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Driving Enrollment Predictability In Clinical Trial Timelines
Missed enrollment targets cost millions—TA Scan’s benchmarking and simulation tools empower sponsors to forecast with confidence, optimize site strategy, and keep budgets on track.
- 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
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