How is Predictive Modeling Used in Cancer Research?
In the context of cancer research, predictive modeling is used to forecast the likelihood of cancer development, progression, and response to treatment. These models can help in early detection, personalized treatment plans, and improving patient outcomes. By analyzing large datasets from clinical trials, genomic information, and patient records, predictive models can identify risk factors and potential biomarkers for various types of cancer.
