Keywords: Predictive, analytics, multivariate statistics, machine learning, deep learning, Natural Language Processing, risk, quality, clinical development, clinical trials
Over the past three years, my team has developed and implemented several advanced predictive models across Good Clinical Practice (GCP) Quality Management System (QMS) using multivariate statistics, machine learning, deep learning, and Natural Language Processing (NLP) techniques to drive quality excellence of clinical trials. During the roundtable luncheon discussion, we’ll briefly introduce each of the predictive models and explain how they work together to proactively identify the potential risk across the clinical development timeline. We would like to ask participants if they have used any machine learning, deep learning, and Natural Language Processing (NLP) techniques in the clinical development space and if there are other areas that these techniques can play an important role.