Despite its potential, quantitative analysis in cancer research faces several challenges. One major issue is the heterogeneity of cancer, meaning that tumors can vary widely from one patient to another and even within the same tumor. This variability makes it difficult to develop universal models. Additionally, the quality and completeness of data can vary, which can impact the reliability of the analysis. Finally, there is the challenge of integrating data from different sources, such as genomic data, imaging data, and clinical data.
