How Does Computational Oncology Aid in Cancer Research?
Computational methods help in analyzing large datasets from genomics, proteomics, and clinical trials. By integrating this data, researchers can identify patterns and correlations that might not be evident through traditional methods. For example, machine learning algorithms can predict how certain cancers will react to specific treatments, thus personalizing patient care.
