The integration of diverse data types, often referred to as multi-omics approaches, provides a holistic view of cancer. For instance, combining genomic and clinical data can reveal how specific genetic mutations influence treatment responses. Similarly, integrating imaging and pathological data can improve the precision of cancer diagnoses and prognostications.
