Neural networks are increasingly being used in cancer research to analyze complex datasets, identify patterns, and make predictions. They are particularly useful for tasks such as tumor detection, cancer classification, and prognosis prediction. By analyzing large amounts of data from medical imaging, genetic information, and patient records, neural networks can help identify early signs of cancer and suggest personalized treatment plans.
