7:30 – 8:00 PM – Introduction to {teal} – open source framework to build interactive applications for clinical data analysis

In this talk, we would like to present the {teal} package - built internally in Roche and now a fully open-sourced product with a focus on interactive clinical data analysis. Together with a series of other child packages, {teal} is equipped with features to elevate the user's exploratory experiences, such as data filtering, code reproducibility, logging, and report generator. Enriched with multiple complementary analysis R packages, users can get 50+ common analysis modules available for use. In addition, {teal} can provide R developers with a quick and efficient way to create customized shiny modules with different data types. In this talk, we will introduce the {teal} framework, highlight major features, and share how this has been implemented and adopted by thousands of data scientists in our organization. We will also present briefly the way how we achieved that as well as our efforts on open sourcing and collaboration within the pharma industry.