Cancer is a leading cause of death worldwide, and exposure to carcinogens is a significant risk factor for developing cancer. Dose-response modeling is a critical tool for quantifying the relationship between exposure to carcinogens and the risk of cancer. The goal of dose-response modeling is to estimate the risk of cancer at different levels of exposure to a carcinogen, which informs public health policy and regulatory decision-making.
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Despite the importance of dose-response modeling in cancer risk assessment, there are several challenges and limitations: