Digging Through The Hype: Can AI/ML Assist Clinical Development?

This webinar explores the transformative potential of AI and ML in clinical data management, highlighting how these technologies can enhance the efficiency and effectiveness of clinical trials. The session provides an overview of AI-driven methods to improve data interactions, optimize human data review, and support better trial execution and strategy. By automating key tasks such as data mapping, machine learning can recommend optimal data mappings and flag non-mappable data, enabling team members to focus on resolving high-priority issues. This approach streamlines the process of converting raw study data into actionable insights, allowing clinical teams to concentrate on quality issues that are most likely to impact the interpretation of results.

Additionally, the webinar will discuss the application of Generative AI (GenAI) for analyzing clinical trial data. GenAI has the potential to identify hidden patterns and generate valuable insights from complex datasets. However, its use in a regulated clinical environment requires careful implementation to ensure compliance with standards and accuracy in data analysis. The webinar also includes practical demonstrations and shared experiences from ongoing collaborations with clients, illustrating how these AI-driven approaches can accelerate data understanding and improve clinical outcomes.