In this episode I discuss R Shiny and how it can be used for building clinical pharmacology tools. I provide an overview of the technology, suggest a few example use cases, and then walk through a specific practical example of predicting AUC and Cmax for future doses from observed data. I end with a discussion of the benefits and challenges of using R Shiny for clinical pharmacology tools.

Links discussed in the show:

• Basics about R Shiny
• Shinyapps.io for hosting shiny apps
• Example R Shiny app by Samer Mouskassi: ggplot with your data
• Example R Shiny app for AUC-Cmax predictions
• You can connect with me on LinkedIn and send me a message
• Send me a message
• Sign up for my newsletter

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