The volume of data generated from cancer research and treatment is enormous, posing significant challenges in data management. Issues like data fragmentation, lack of interoperability between different healthcare systems, and data privacy concerns hinder the effective use of this information. Advanced data analytics and machine learning techniques hold promise but require robust infrastructure and expertise that are not always available.
