Big data analytics in histology refers to the application of advanced computational and statistical techniques to analyze large and complex datasets derived from histological studies. This involves the examination of tissue samples, often digitized into high-resolution images, to extract meaningful patterns, trends, and insights. By leveraging big data analytics, researchers can enhance the accuracy of diagnoses, identify novel biomarkers, and understand disease mechanisms at a deeper level.
