Analyzing cancer data is fraught with challenges. The sheer volume of data generated from modern technologies can overwhelm traditional analytical methods. Additionally, the data is often noisy and heterogeneous, requiring advanced statistical and machine learning techniques to extract meaningful insights. Managing data privacy and ensuring ethical use of patient information are also critical concerns.
