By: Kristin Mauri and Rhonda Roberts at Remarque Systems
The amount of data collected during clinical trials has increased dramatically. In order to keep up with trends, machine learning offers the opportunity to keep studies on the right trajectory using real-time data to identify anomalies and missing data. This is important not only during the clinical trial planning phase, but also to better focus on patient safety and data quality throughout the trial process.