Practical Use Cases for R in Life Sciences Labs

Walk through several real-world analytical data optimization tools created using the open-source statistical programming language, R. From clinical lab scheduling using the popular seasonal forecasting technique ARIMA (autoregressive integrated moving average) to pharmaceutical cleanroom environmental monitoring heatmaps and statistical process control of solid oral dosage forms—a data scientist will show what these tools would look like were they implemented in your pharmaceutical or clinical research lab. Join us for a practical look at how you can use R and the data already in your LIMS to create tools that will help with forecasting and data analysis. Ultimately, these tools can help your lab run better and provide clarity in your reporting.