Revolutionize Clinical Trial Data Exploration with {teal}

Oregon Convention Center 

{teal} is an innovative open-source and scalable R-shiny based framework that is transforming the way clinical trial data is being analyzed and visualized. It enables data scientists to streamline the creation of web applications, bringing data closer and faster to stakeholders, resulting in quicker insights and better-informed decisions. The framework's key features, such as dynamic data filtering, code reproducibility and report generation, promote transparency and push the boundaries of interactive analysis in the data exploration process. With over 50 analysis templates and the ability to easily integrate customized modules for different analyses or data types, {teal} offers a comprehensive and extendable solution for clinical trial data exploration. In this talk, we will introduce the {teal} framework, highlight its key features, share how this has been adopted by hundreds of data scientists inside our organization, and discuss how collaborative development with external partners are fostering even more values and impacts across the pharmaceutical data science community. For more information, visit https://insightsengineering.github.io/teal/