Cancer diagnosis often requires the analysis of vast amounts of data from various sources, including medical imaging, genetic information, and patient records. Azure ML aids in this process by offering tools to preprocess, clean, and analyze these datasets. Machine learning models can be trained to identify anomalies in imaging data, predict the likelihood of cancer recurrence, and even suggest personalized treatment plans based on genetic information.
