Researchers at Massachusetts Institute of Technology have developed the first publicly available artificial intelligence model predicting the long-term stability of Chinese Hamster Ovary (CHO) cell lines across seventy-two passages—the FDA standard for productivity stability. Utilizing epigenetic data and machine learning approaches like random forest, this model enables improved consistency and quality in biotherapeutic production by forecasting which cell lines maintain productive output over extended culturing. The freely accessible AI tool is expected to significantly enhance cell line development processes in biomanufacturing.