Machine learning algorithms are increasingly being integrated into model-based methods. These algorithms can analyze vast amounts of data to identify patterns that might not be evident through traditional statistical methods. For example, deep learning techniques are being used to analyze imaging data to detect cancer at early stages, predict disease progression, and even assist in automated diagnosis.