Top AI-Driven Clinical Trial Patient Identification Tools: What Research Teams Should Look for in 2026 Clinical trial enrollment remains one of the most persistent barriers in research. Even when the right patients exist within a health system, identifying them often...
Beyond the Buzzword: What Real AI Looks Like in Clinical Research Every company seems to claim they’re “using AI.” Yet if you ask how, the answers often fall apart under scrutiny. In clinical research, the difference between buzzword AI and real AI is more than...
Human-in-the-Loop + AI in Clinical Trials: Why the Future of Recruitment Isn’t Fully Automated In the race to modernize clinical-trial recruitment, artificial intelligence has become the headline act. Many vendors now promise fully automated tools that can find,...
The Rise of the Digital-Ready Site: How Technology Readiness Wins More Studies In clinical research, experience used to be the differentiator. Sponsors and CROs prioritized sites that had conducted the most studies or enrolled the most patients. Today, the bar has...
Beyond Recruitment: Leveraging RWD to Power a Continuous Clinical Trial Ecosystem Clinical trials have long been organized in stages: protocol drafting, site selection, recruitment, data collection, analysis, and follow-up. As real-world data (RWD) and real-world...
AI + Real-World Data: Accelerating What’s Possible in Clinical Research Healthcare generates more data today than at any point in history. Yet despite billions of data points created daily, much of it remains fragmented, underutilized, and locked away in formats too...
