Embedding AI And Critical IRB Operations Data To Drive Intelligent Study Design

This presentation offers a clear roadmap for navigating the evolving complexities of the industry. Modern clinical trial design is being transformed by a rich array of data sources, from digitized protocols and literature to real-world insights. This discussion centers on how researchers can effectively evaluate and integrate these diverse data streams to create studies that are not only operationally efficient but also more inclusive and scientifically robust.

A primary focus is the role of AI in driving intelligent data synthesis while balancing innovation with practical feasibility. By leveraging analytical models and AI techniques, pharma leaders can transform complex inputs into meaningful insights, ultimately maximizing the potential of their research programs. Furthermore, exploring distinct vantage points—such as IRB operations data—can provide critical foresight, helping to preempt study hurdles and minimize the need for costly amendments.