Scientists at MIT unveiled the first publicly available AI model predicting long-term stability of Chinese Hamster Ovary (CHO) cell lines over 72 passages, aligning with FDA stability metrics. Utilizing epigenetic data and machine learning, the model forecasts productivity retention critical for biologic manufacturing consistency. This predictive tool promises to reduce development time and costs by enabling early identification of stable cell lines in therapeutic protein production.