Abstract: Provided are methods for classifying cells, such as T cells, using machine learning methods. The methods can be used to classify different subsets or types of cells in a mixed population of cells.

Abstract: An automated method of T cell scale down processing. The method including: activating T cells by automatically contacting the T cells with one or more activation reagents; transducing the T cells by automatically contacting the T cells with a recombinant viral vector; automatically inoculating T cells; automatically expanding the T cells; optionally, automatically debeading the T cells; and automatically harvesting the T cells. A system for an automated method of T cell scale down processing.

Abstract: Provided herein is a serum-free media for culturing, such as cultivating, preparing and/or producing cells, such as immune cells, such as genetically engineered cells. Also provided is a liquid basal media and frozen supplements that can be used to produce serum-free media. The provided embodiments include methods for producing serum-free media and methods for culturing cells, such as activating, transducing, cultivating or expanded cells, in the presence of serum-free media.

Abstract: The present disclosure provides methods for genetically engineering T cells, such as CD4+ T cells and/or CD8+ T cells, for use in cell therapy. In some aspects, the provided methods include one or more steps for pooling enriched CD4+ and CD8+ cells, such as at a 1:1 ratio, and then incubating the cells under stimulating conditions, introducing a recombinant polypeptide to the cells through transduction or transfection, and/or cultivating the cells under conditions that promote proliferation and/or expansion. In some aspects, the provided methods are an efficient, reliable means to produce genetically engineered T cells with a high degree of success.