Through predictive analytics, machine learning algorithms are revolutionizing how breast cancer risks are assessed. By analyzing historical patient data, including family history, lifestyle factors, and genomic information, these algorithms can predict an individual’s risk of developing breast cancer, facilitating early intervention and preventive measures.
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