Predicting how a patient will respond to a particular treatment is challenging but critical. AI and ML models can analyze historical data from clinical trials and patient records to predict outcomes, such as survival rates and potential side effects. These predictions help oncologists make informed decisions about treatment plans and manage patient expectations.
