While Biopython is primarily used for research purposes, its functionalities can also be adapted for certain clinical applications in cancer. For example, it can be used to develop tools that predict the effects of genetic mutations or to design personalized medicine approaches by analyzing an individual's genetic profile. However, it is essential to validate any clinical tool developed using Biopython in a regulatory environment.
