will give a presentation on
Abstract:
Clinical trials are used to assess the safety and efficacy of drugs and medical devices. In large clinical trials, hundreds of sites enroll thousands of patients across multiple countries. A clinical research site may face many challenges during study conduct, including misunderstanding of the study protocol, non-compliance with Good Clinical Practices, use of miscalibrated equipment, and failure to report data in a timely manner.
CluePoints has developed a web platform to analyze data from clinical trials. The platform uses statistical and machine learning algorithms to detect potential risks within study conduct. Risk signals are reported to study teams, allowing them to implement corrective actions and mitigate the impact on trial results. In this presentation, we will demonstrate how statistics and machine learning methods can support risk-based quality management and clinical trial oversight.
Methods range from univariate statistical tests to custom deep-learning architectures designed to interrogate clinical data.
It is not uncommon that organizers, speakers and participants go for a beer at the Café des Halles after the talk. Feel free to join us.