Harnessing ML and Statistics for Smarter Risk-Based Quality Management

About this session

Session: RBQM IN A CHANGING REGULATORY LANDSCAPE

Sponsored presentation.

This session illustrates the value of Machine Learning and advanced statistics in enabling a more efficient detection and mitigation of risks in clinical trials. Models, along with the assessment of their value benefits, are discussed. Experience in developing and applying those models in more than 1600 trials is shared with the community.

Speaker

• LT

  Laura Trotta

  VP Research Operations and Statistical Innovation · CluePoints SA

  Speaker