Feedback-controlled medium scale hollow fiber bioreactor system with inline sensing and automated sampling

A system for generating an AI digital twin model for a commercial-scale bioreactor, the system comprising:

• a) a bioreactor comprising a culture chamber, wherein said culture chamber comprises live cells in culture media;
• b) two or more sensors for measuring two or more different physical attributes of the culture media or the live cells therein;
• and
• c) a computing device communicatively coupled to the two or more sensors, the computing device comprising
• i) a processor;
• ii) a memory;
• and
• iii) a communication module;
• the processor communicatively coupled to the memory and the communication module;
• the processor configured to receive sensor data from the two or more sensors to train an AI model configured to determine values associated with and derived from physical attributes of the culture media or live cells therein using the sensor data from the two or more sensors, wherein the trained AI model is subsequently employed in controls of the commercial-scale bioreactor to determine values associated with and derived from physical attributes of the culture media or live cells therein using sensor data from sensors of the commercial-scale bioreactor.