Claudine Isaacs, MD, Georgetown University, Washington, DC, comments on advancements in cancer risk assessment, focusing on models integrating standard risk factors, breast density, high-penetrance gene mutations, and polygenic risk scores. Novel models aim to enhance precision by including ancestry-related risks, addressing biases inherent in earlier models. Ongoing efforts are also underway to refine these models for broader applicability and understanding. This interview took place at the 2024 San Antonio Breast Cancer Symposium (SABCS) congress in San Antonio, TX.
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