Constructing a cancer trajectory involves multiple steps and the integration of various types of data:
Clinical Data: Patient history, physical exams, and laboratory tests. Imaging Data: MRI, CT scans, and other imaging techniques to monitor tumor growth. Genomic Data: Information about genetic mutations that may influence cancer progression. Biomarkers: Biological molecules found in blood, other body fluids, or tissues that signify a normal or abnormal process, or a condition or disease.
Advanced computational models and machine learning algorithms are often used to integrate these data types and predict the trajectory of the disease.
