Yes, machine learning algorithms can predict cancer progression by analyzing patient data, including genetic information, lifestyle factors, and past medical history. Predictive modeling techniques, such as random forests and support vector machines (SVMs), can identify risk factors and estimate the likelihood of disease progression. These predictions help doctors make informed decisions about treatment plans and follow-up care.
