👉 Tumor computing, also known as tumor genomics or cancer genomics, is a multidisciplinary field that involves the analysis of genomic data from tumors to understand their molecular characteristics and behavior. This approach integrates bioinformatics, computational biology, and clinical oncology to decode the genetic mutations, gene expression patterns, and epigenetic modifications that drive tumor growth and progression. By leveraging high-throughput sequencing technologies, researchers can identify specific mutations, copy number variations, and other genomic alterations unique to a patient's tumor. These insights enable the development of personalized treatment strategies, such as targeted therapies and immunotherapies, tailored to the specific genetic profile of the tumor. Tumor computing also aids in predicting patient outcomes, monitoring treatment responses, and discovering new biomarkers for early detection and prognosis. Overall, it represents a critical advancement in precision medicine, transforming how we diagnose, treat, and manage cancer.
