Case Study: Takeda Pharmaceutical Company Ltd boosts drug production with Minitab

Takeda Pharmaceutical Company Ltd identifies 30 process parameters to boost drug yield with Minitab

Takeda Pharmaceutical Company Ltd, a global biopharmaceutical company, sought to increase the yield of three blood clotting drugs produced from cell cultures. Their challenge was to identify the critical process parameters that affected cell culture performance in order to produce more of these drugs more efficiently. To meet this challenge, they turned to Minitab Statistical Software from their longtime partner, Minitab.

Using Minitab, Takeda's team employed machine learning models, including Partial Least Squares regression and CART decision trees, to analyze nearly 30 process parameters. The solution successfully identified the key factors impacting yield. The results from both analytical techniques aligned, providing a clear and intuitive understanding of the process for scientists and engineers. This use of Minitab's tools helped speed up the interpretation of results and positioned the team to further improve model accuracy with more advanced techniques.

Takeda Pharmaceutical Company Ltd