MIT scientists created the first publicly available artificial intelligence model predicting long-term stability of Chinese Hamster Ovary (CHO) cell lines over 72 passages, meeting FDA stability criteria. Using epigenetic data and machine learning, the model enables consistent product quality predictions critical for biotherapeutic manufacturing processes, facilitating improved cell line development and process control in biopharmaceutical production.