New technology development that significantly improves the productivity of antibody drugs published in an academic journal

artience Co., Ltd. (President and Representative Director Satoru Takashima, Chuo-ku, Tokyo) has developed a new media optimization technology that greatly improves the productivity of antibody drugs through joint research with Associate Professor Ying Beifun of the Department of Life and Environmental Sciences at the University of Tsukuba.
The results were published in the Journal of Bioscience and Bioengineering.

【Summary of Research Results】

• Integrate machine learning and biological insights to develop a sequential active learning strategy for media development
• Optimization of 44 components of culture medium increases IgG antibody production by CHO cells by approximately 1.8 times
• Optimized media reproduces high antibody production even in scale-up cultures

[Significance of the study and future prospects]
This technology is expected to efficiently realize the development of advanced and complex media with limited resources, and significantly improve the production efficiency of useful proteins such as antibodies. artience will continue to further develop this technology, promote research and development in the field of biotechnology, and expand its life science business.

【Paper Information】
Title: Sequential active learning for medium optimization in mAb production
Authors:Takamasa Hashizume, Koki Baba, Naoya Matsuo, Bei-Wen Ying
Journal:Journal of Bioscience and Bioengineering
URL：https://doi.org/10.1016/j.jbiosc.2025.12.002