Researchers developed a new repository using NLP to extract patient data from structured records and clinical notes. This system replaces slow, manual medical record reviews. By organizing fragmented physician notes, PLOS authors aim to identify why specific patients fail standard therapies. This provides a blueprint for automating other specialized disease registries.