These models integrate various types of data, including genetic, molecular, and clinical data, to create a comprehensive representation of cancer biology. Advanced algorithms and machine learning techniques are often employed to analyze this data, identify patterns, and make predictions. For instance, machine learning models can be used to predict patient response to specific treatments by analyzing historical patient data.
