Data overload in cancer studies can lead to several issues. It can obscure significant findings, delay clinical decision-making, and overwhelm researchers with irrelevant information. Furthermore, the sheer volume of data can make it challenging to identify biomarkers for disease progression or treatment response, ultimately hindering the development of personalized medicine approaches.
