Abstract: Methods and apparatus for scaling in bioprocess systems are disclosed. An example apparatus for bioprocess scaling includes at least one memory to store instructions, and processor circuitry to execute the instructions to identify an operating parameter of a target bioreactor, determine an upper boundary or a lower boundary defining a design space for at least one bioreactor process parameter to match at least one of a first target parameter range or a second target parameter range based on the operating parameter, simulate changes in the first target parameter range or a second target parameter range based on an adjustment to the upper boundary or the lower boundary in the design space, and configure the target bioreactor using output obtained from the adjustment to the upper boundary or the lower boundary to identify a match between the first target parameter range or the second target parameter range.

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.