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 computer implemented method performed by a controller (C) configured to control a bioprocess comprised in a bioreactor (BR), the method comprising obtaining (410) measurement results by performing spectroscopy of a bioprocessing fluid (FL) comprised in the bioreactor (BR), generating bioprocessing parameters using the measurement results, one or more bioprocessing target parameters and one or more trained models, and, controlling the bioprocess using the generated bioprocessing parameters. The method wherein the one or more trained models are neural networks, wherein the measurement results comprise a spectrum, wherein the spectrum is split to a number N parts used to calculate N average values, wherein the N average values and the corresponding values of bioprocessing parameters are used § as features in the neural network.

Abstract: The present invention relates to a computer implemented method (400) performed by a controller (C) configured to control a bioprocess comprised in a bioreactor (BR), the method comprising obtaining (410) measurement results by performing spectrophotometry of a bioprocessing fluid (FL), generating (420) control parameters based on the measurement results and one model and, controlling (430) the bioprocess using the generated parameters.

Abstract: Described herein are methods of inhibiting the proliferation of cancer cells and methods of treating cancer, as well as methods of predicting responsiveness of subjects to certain cancer treatments and methods of identifying subjects as candidates for certain cancer treatments.