Probabilistic models are mathematical frameworks that use probability theory to predict and understand the variability and uncertainty in data. These models are particularly useful in fields like cancer research, where biological systems are inherently complex and data can be noisy and incomplete. By leveraging probabilistic models, researchers can make more informed decisions and develop more effective diagnostic and therapeutic strategies.
