Noise can significantly impact the accuracy of cancer diagnosis. For example, in imaging techniques like MRI or CT scans, noise can lead to false positives or negatives, complicating the diagnostic process. Similarly, in biomarker testing, noise can mask the presence of a significant marker, leading to incorrect conclusions about a patient's condition.
