A Bayesian model utilizes Bayes' Theorem, which describes the probability of an event based on prior knowledge of related conditions. In mathematical terms, it updates the probability for a hypothesis as more evidence or information becomes available. This approach is particularly useful in cancer research where data is constantly evolving.
