Predicting Early Recurrence in Breast Cancer 🇹🇿

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This presentation offers an in-depth analysis of breast cancer recurrence, focusing on understanding early recurrence and the critical role of predictive models in improving patient outcomes. We explore genetic markers, tumour characteristics, and patient history as vital predictive factors. Emphasis will be placed on statistical models, machine learning applications, and recent clinical trials that advance prediction methods. Additionally, current research in Tanzania is highlighted,...