Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis

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ObjectiveThe successful preparation of cells for therapy depends on the characterization of causal factors affecting cell quality. Ultra scale-down methods are used to characterize cells in terms of their response to process engineering causal factors of hydrodynamic shear stress and time. This response is in turn characterized in terms of causal factors relating to variations as may naturally occur during cell preparation, i.e., passage number, generation number, time of the final passage stage and hold time in formulation medium.

论文关键词:Artificial neural networks,Cells for therapy,Bioprocessing,Membrane integrity,Surface markers,Ultra scale-down

论文评审过程:Received 28 February 2014, Revised 29 April 2014, Accepted 12 July 2014, Available online 19 July 2014.

论文官网地址:https://doi.org/10.1016/j.artmed.2014.07.003