A team of researchers led by Columbia University Mailman School of Public Health Professor Mary Beth Terry, PhD, evaluated four commonly used breast cancer prediction models and found that family-history-based models perform better than non-family-history based models, even for women at average or below-average risk of breast cancer.
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