Fukae, Yudai2023-08-172023-08-172023https://hdl.handle.net/11299/256043Problem Statement: The production of biopharmaceuticals, worth over US$180 billion annually, relies on highly productive and robust cell cultures. However, measuring and interpreting cell culture data can be challenging due to requiring a series of data processing steps. Purpose: Build a Python package that integrates an automated cell culture data processing pipeline with machine learning methods to analyze biomanufacturing data.enPresentation