adam-to-teal

You can generate an interactive teal Shiny app from ADaM datasets by providing the data and mock TLG shells to produce a reproducible app.R script with configured teal modules. The output runs directly with shiny::runApp().

Generating a teal app from ADaM datasets provides a live Shiny dashboard for clinical trial data QC. It constructs interactive teal modules for rapid data exploration, filtering, and visual review.

Yes, you can generate reproducible R code for a teal app to demonstrate to stakeholders. The process creates an executable app.R script and helper files configured with teal modules for live clinical data demos.

Yes, teal Shiny app generation works with mock TLG shells. It uses them alongside ADaM datasets to construct the interactive teal module configurations required for clinical trial data exploration and QC.

Using teal modules, you can explore clinical data visuals such as Kaplan-Meier survival plots, demographics summaries, and adverse events dashboards. These interactive modules enable live filtering and exploration of ADaM data.

No, you do not need to manually configure Shiny modules to review ADaM data interactively. The generation process automatically constructs the teal module configurations and reproducible code required for live clinical data exploration.