Discover how how federated data networks, platform aggregators, and collaborative partnerships have evolved to meet the data demands of modern product development, regulatory strategy, and commercial success.
- From Real-World Data To Real-World Impact: Building The Evidence Capability Pharma Actually Needs
- A Clinical Machine Learning Operations (MLOps) Maturity Framework For Biopharma
- Making AI Work For Clinical Trial Supply
- Edge AI Is Reshaping How Clinical Trials Run
- How Deep Learning Is Changing Clinical Trial Design, Execution, And Analysis In 2026
- Telehealth In Clinical Trials: What Sites And Patients Think
- Pick The Right PV Technology With Help From A Safety Data Management Expert
- Telehealth In Clinical Trials: What You Need To Know
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
-
We Need Regulatory Clarity—Not Complexity In Clinical Trial Technology
The current U.S. deregulatory momentum should not diminish compliance standards but instead serve as a call to streamline and modernize regulatory guidance.
-
Revolutionizing Clinical Trial Feasibility
Transform feasibility into a continuous, data-driven process, that helps sponsors streamline trial planning, maintain timelines, and deliver therapies to patients faster.
-
The Electronic Data Capture (EDC) Checklist
When running any clinical trial–decentralized, virtual, hybrid, or site-based–there are tools that capture better data faster without sacrificing data quality. One of your most valuable tools will be an Electronic Data Capture (EDC) platform. Access this checklist to discover EDC must-haves during your next clinical trial.
-
Solving Key eCOA Challenges Through Digital Trials—Proof Points!
Medable has reached some important milestones and shares them in its end-of-year report. Check it out to see what game-changing results they've brought to their customers.
-
When To Use Wearables In A Clinical Trial And How to Get Started
Wearables work best when they close real measurement gaps — from irregular symptoms to mobility and sleep. In a unified data environment, they deliver richer insights without added complexity.
-
What To Look For In Your IRT/RTSM Solution For A Simpler Trial Execution
Which factors should you consider when selecting an IRT/RTSM vendor to ensure your trial's randomization and supply management processes are successfully executed?
-
Maximize The Value Of Wearable Data
Explore this near real-time adherence monitoring solution for clinical trial sponsors that compares wearable device data collected from a participant's scheduled activities and visit dates.
-
Strategies To Minimize Participant And Healthcare Provider Burden
Patient-reported outcomes (PROs) are vital for clinical trials but can burden participants and providers. Discover strategies and practical solutions to ease these burdens and improve data quality.
-
Clinical Data Needs Smart Automation Now for a Better AI Future
AI holds the potential to enhance clinical trial efficiency, but it relies on a foundation of clean data and intelligent automation to be effective.
-
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.
FROM THE EDITOR
- AI And Clinical Trial Recruitment: Can It Fix The Funnel?
- Edge AI Is Reshaping How Clinical Trials Run
- Telehealth In Clinical Trials: What Sites And Patients Think
- Telehealth In Clinical Trials: What You Need To Know
- Forget More Clinical Tech, We Need More Adoption
- Joe Dustin: Sites Are Driving Clinical Tech Evolution
- How Salk And Sabin Helped Create The Modern Clinical Trial
RECENT NEWSLETTERS
- 03.26.26 -- AI, Telehealth & The Tools Reshaping Clinical Trials
- 03.19.26 -- Clinical Trials In 2026: AI, Telehealth & The Platform Shift
- 03.12.26 -- The Future Of Clinical Trials Is Being Built Right Now
- 03.07.26 -- February's Best In Clinical Tech — AI, eTMF & More
- 03.05.26 -- Is Your Legacy EDC Holding Back AI In Clinical Trials?