Machine Learning for Identifying Protocol Deviations
Machine Learning for Identifying Protocol Deviations Using Machine Learning to Detect Protocol Deviations in Clinical Trials Introduction: The Challenge of Protocol Deviations Protocol deviations (PDs) are one of the most common findings in GCP audits and inspections. They can impact subject safety, data integrity, and even trial validity. Traditionally, identifying these deviations has been a…
Read More “Machine Learning for Identifying Protocol Deviations” »
