Wonderful Wednesdays October 2024

Personalised dosing Wonderful Wednesdays

Why personalized dosing? „Again and again, it has been shown that certain patients benefit more from individual drugs, while others suffer more heavily from side effects… …and still they are usually treated with a standard dose.” Free translation of a quote from Prof. Dr. Dr. Gerd Geisslinger, Executive Director, Fraunhofer Institute for Translational Medicine and Pharmacology, Frankfurt

PSI VIS SIG https://www.psiweb.org/sigs-special-interest-groups/visualisation
10-09-2024

Personalised dosing

Aim of the visualisation

A description of the challenge can be found here.
A recording of the session can be found here.

Example 1. Identification of patients for personalized dosing with DoRiS


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link to code

Example 2. Boxplots


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link to code

Example 3. Plots by dose and subgroup


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link to code

Code

Example 1. Identification of patients for personalized dosing with DoRiS

# Install if needed:

install.packages("devtools")
install.packages("shiny")
install.packages("shinyWidgets")
install.packages("bslib")
install.packages("bsplus")
install.packages("shinyBS")
install.packages("DT")
install.packages("tidyr")
install.packages("dplyr")


# Install and start doris

devtools::install_github("bayer-group/BIC-doris")
library(doris)

run_doris()

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Example 2. Boxplots

No code has been submitted.

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Example 3. Plots by dose and subgroup

The Rmd file can be found here

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Citation

For attribution, please cite this work as

SIG (2024, Oct. 9). VIS-SIG Blog: Wonderful Wednesdays October 2024. Retrieved from https://graphicsprinciples.github.io/posts/2024-12-01-wonderful-wednesdays-october-2024/

BibTeX citation

@misc{sig2024wonderful,
  author = {SIG, PSI VIS},
  title = {VIS-SIG Blog: Wonderful Wednesdays October 2024},
  url = {https://graphicsprinciples.github.io/posts/2024-12-01-wonderful-wednesdays-october-2024/},
  year = {2024}
}