Yes, noise and errors can be minimized through various approaches. Utilizing high-quality data collection methods, rigorous statistical analysis, and robust experimental design are essential. Additionally, employing advanced technologies like machine learning and artificial intelligence can help filter out noise and correct errors, improving the overall reliability of cancer research.
