Machine learning algorithms enhance the prognostic modeling of breast cancer outcomes. By integrating diverse patient data, including tumor characteristics and treatment responses, these algorithms develop more accurate models predicting disease progression, recurrence, and patient survival rates, assisting in treatment planning and patient counseling.
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