AI-Powered Patient Matching: Why It’s Essential for Modern Clinical Trials When it comes to clinical trial recruitment, patient matching remains deceptively complex. On the surface, it sounds simple—find patients whose medical history fits the study’s...
Unstructured, Not Unusable: How AI Unlocks Hidden Patient Insights in Clinical Research Unstructured clinical data holds answers—millions of them. Each year, patients generate vast volumes of clinical information through free-text notes, imaging reports, pathology...
How AI Can Help Solve the Top 3 Challenges in Modern Patient Recruitment Recruiting patients for clinical trials has always been one of the hardest parts of clinical research. And despite advances in technology and outreach, recruitment challenges are only getting...
The Transformative Role of AI and Real-World Data in Clinical Trial Recruitment Traditional patient recruitment methods have long been the cornerstone of clinical trial operations, but these approaches are increasingly proving to be unsustainable in today’s...
Making AI Work for You: Practical Tips for Integrating AI into Patient Recruitment AI is making waves in clinical research, streamlining everything from protocol design to patient recruitment. However, integrating AI into existing workflows can feel overwhelming....
