Why is Automated Data Analysis Important in Cancer Research?
Cancer is a highly heterogeneous disease, characterized by a wide array of genetic mutations and diverse biological pathways. Traditional data analysis methods can be time-consuming and prone to human error. Automated data analysis enables researchers to quickly process and integrate vast amounts of data, facilitating the discovery of new biomarkers, therapeutic targets, and personalized treatment strategies.
