Data plays a crucial role in predicting cancer outcomes. Clinical Data, such as patient history, lab results, and imaging studies, is combined with molecular data from genomic sequencing to create a comprehensive profile of the cancer. Advanced machine learning algorithms and artificial intelligence are increasingly used to analyze this data, identifying patterns and predicting outcomes with greater accuracy.
