The management of diverse cancer data types poses several challenges. Data standardization is critical to ensure consistency across different sources. Data privacy and security are paramount, given the sensitive nature of patient information. Additionally, the sheer volume and complexity of cancer data require advanced bioinformatics tools and machine learning algorithms to analyze and interpret.
