Abstract: The preset disclosure provides methods of culturing cells, e.g., pluripotent cells, multipotent cells, and/or immune cells (e.g., T cells and/or NK cells) in a medium comprising at least about 5 mM potassium ion, wherein the medium is not hypertonic. In some aspects, the medium is hypotonic. In some aspects, the methods disclosed herein increases the number of less-differentiated cells in the population of cells. In some aspects, the cultured cells are engineered, e.g., to comprise a chimeric antigen receptor or an engineered T cell receptor. In some aspects, the cells are administered to a subject in need thereof.

Abstract: A content compliance system uses machine learning to generate objective verification that content complies with brand criteria. The content compliance system may force the company to select specific brand criteria listed on a user interface. The selected brand criteria are then readily displayed to the creative agency. The content compliance system then compares the selected brand criteria with content generated by the creative agency. The content compliance system uses machine learning algorithms to generate a compliance score that provides a real-time objective indication of the compliance of the creative content with the selected brand criteria. The creative agency can then modify the creative content and receive a real-time updated compliance score.

Abstract: A content compliance system uses machine learning to generate objective verification that content complies with brand criteria. The content compliance system may force the company to select specific brand criteria listed on a user interface. The selected brand criteria are then readily displayed to the creative agency. The content compliance system then compares the selected brand criteria with content generated by the creative agency. The content compliance system uses machine learning algorithms to generate a compliance score that provides a real-time objective indication of the compliance of the creative content with the selected brand criteria. The creative agency can then modify the creative content and receive a real-time updated compliance score.

Abstract: Systems and methods applicable to generating management decisions for online advertising. Machine learning models, including reinforcement learning-based machine learning models, can be utilized in making various advertising management decisions.

Abstract: The preset disclosure provides methods of culturing TILs in a medium comprising at least about 30 mM to at least about 100 mM potassium ion. In some aspects, the methods disclosed herein enhance expansion of CD8+ TILs, relative to CD4+ TILs. In some aspects, the methods further increase the number of less-differentiated cells, e.g., less-differentiated TILs, in the population of cells. In some aspects, the methods disclosed herein enrich for tumor-reactive, e.g., tumor specific, TILs such that clonal diversity is preserved. In some aspects, the cells, e.g., the TILs, are administered to a subject in need thereof. 17667030.

Abstract: A content compliance system uses machine learning to generate objective verification that content complies with brand criteria. The content compliance system may force the company to select specific brand criteria listed on a user interface. The selected brand criteria are then readily displayed to the creative agency. The content compliance system then compares the selected brand criteria with content generated by the creative agency. The content compliance system uses machine learning algorithms to generate a compliance score that provides a real-time objective indication of the compliance of the creative content with the selected brand criteria. The creative agency can then modify the creative content and receive a real-time updated compliance score.