Data integration in the context of histology refers to the process of combining and analyzing data from various sources to gain a more comprehensive understanding of tissue structure and function. It involves the synthesis of diverse datasets, including imaging, genetic, proteomic, and clinical data, to provide a holistic view of histological features and their implications in health and disease.