Beyond the "Black Box": Why Trust is the Ultimate Data Moat in Clinical Trial Recruitment
In the high-stakes world of clinical research, fixed machine learning models face a silent, inevitable threat: drift. As clinical practices shift, lab equipment is recalibrated, and patient populations evolve, static algorithms slowly degrade in accuracy.

