Researchers are exploring methods to discover and characterize tissue cellular neighborhoods from cell phenotypes. Various approaches are being developed, including unsupervised and supervised techniques, to identify and analyze spatial patterns and relationships in tissue organization. These methods involve the use of tools such as machine learning algorithms, graphs, and spatial omics data to better understand complex tissues, including the tumor microenvironment.