From Lab Bench to Browser: A Hybrid Digital Twin for CHO Cell Culture I rebuilt two published CHO cell-culture papers — a hybrid ODE + machine-learning growth m
A computational replica of Chinese Hamster Ovary (CHO) cell culture has been developed, integrating mechanistic and machine-learning models. This hybrid digital twin aims to predict outcomes of cell culture experiments, reducing the need for costly and time-consuming physical trials. The tool, built by replicating and extending existing research, allows users to explore various "what if" scenarios for biopharmaceutical manufacturing processes directly in a web browser. AI
IMPACT Enables faster, cheaper experimentation in biopharmaceutical development by simulating complex cell culture processes.