Data corruption can have significant implications in histology:
1. Misdiagnosis: Altered or incorrect data can lead to false diagnoses, impacting patient care and treatment outcomes. 2. Research Setbacks: Corrupted data can invalidate research findings, leading to wasted resources and potentially incorrect scientific conclusions. 3. Loss of Trust: Persistent data integrity issues can erode trust in histological methods and technologies.
