Machine Learning Enables Real-Time Bioprocess Optimization

An integrated machine learning framework adapts culture conditions during long perfusion runs

March 23, 2026
2 min

The Medicine Maker

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Researchers at Merck have developed a self-driving bioprocessing platform that utilizes machine learning and automated bioreactors to optimize monoclonal antibody processes. This innovative platform autonomously designs and adapts experiments in real-time by integrating Bayesian algorithms with a cognitive digital twin of the bioreactor. The system operates without predetermined plans, dynamically adjusting cultivation conditions based on immediate data, thus reducing time and resources needed for biopharmaceutical development and potentially enhancing production efficiency.