How is Supervised Learning Applied in Cancer Research?
In the context of cancer research, supervised learning can be applied in various ways. For instance, it can be used to classify tumor types based on histopathological images, predict patient prognosis, or identify potential biomarkers from genomic data. By using labeled datasets, researchers can train models to recognize patterns and make accurate predictions, which is crucial for early diagnosis and personalized treatment plans.
