The complexity of cancer, involving numerous genetic, cellular, and environmental factors, makes it challenging to create perfect models. Assumptions help to narrow down the scope and focus on key variables. Without these assumptions, the models would become too complex to solve or understand. They allow researchers to make predictions, test hypotheses, and develop new therapies in a more manageable way.
