All the people and processes involved in a trial tirelessly work with one goal in mind: to obtain complete, reliable and timely data for objective decision-making by drug developers, medical staff, investors, and regulators. In other words, clinical trial data should be valued like gold dust, not coal dust. This session will address: 

• What is the role of statistics in the creation of a clinical trial plan and in the interpretation of its data?

• How can the digitalization of clinical trials streamline data collection processes?

• How can we reliably aggregate and collect data in a timely fashion during clinical trials? 

• How can we declutter data but preserve quality data from which generate useful insights? 

• How can we leverage Artificial Intelligence and Machine Learning in the clinical trial domain?