Automated data analysis refers to the use of computational tools and algorithms to process, analyze, and interpret large volumes of data without human intervention. In the context of cancer research, this involves leveraging technologies such as machine learning, artificial intelligence, and bioinformatics to gain insights from complex datasets, including genomic sequences, clinical records, and imaging data.