Why Overworked Teams Lead to Enrollment Delays and How AI Can Help The clinical research industry talks extensively about enrollment challenges—site selection, patient engagement, regulatory hurdles. But there’s one factor that rarely gets the attention...
How AI Can Drive Diversity in Clinical Trials and Improve Patient Outcomes Clinical trials are the cornerstone of medical advancement, yet they often fail to represent the diverse populations that will ultimately use the treatments. This lack of diversity can lead to...
AI in Clinical Research: Why NLP and LLMs Work Better Together In clinical research, AI is no longer a future concept—it’s a core tool for making data more usable, processes more efficient, and decisions more precise. Among the most promising technologies are Natural...
Smarter Site Selection: What Sites Can Do to Stand Out in Feasibility Scoring Sponsors are no longer relying solely on surveys and gut instinct to select clinical trial sites. Increasingly, they’re turning to site feasibility scoring tools that use real-time data to...
The Hidden Cost of Protocol Deviation and How Better Patient Matching Solves It Protocol deviations are one of the most persistent and costly challenges in clinical research. For sites, they increase workload, trigger regulatory scrutiny, and often reflect systemic...
What If You Could Skip the Manual Chart Review? AI Tools Built for CRCs Clinical research coordinators (CRCs) are the unsung heroes of clinical trials. They manage the chaos, keep protocols on track, and quietly spend hours buried in electronic medical records (EMRs)...
