SVMs have been extensively used in cancer research for various purposes, including cancer diagnosis, prognosis, and treatment prediction. By analyzing large datasets of genetic, proteomic, and clinical data, SVMs can help identify patterns and biomarkers associated with different types of cancer, aiding in early detection and personalized treatment plans.
