Artificial Intelligence Could be the Personalized Treatment Strategy for Cancer

Cancer is one of the world’s most serious medical challenges. Because of its great heterogeneity, persons with similar tumors could react in a different way to the same drugs or surgical methods, prompting the development of more accurate tumor treatment approaches as well as patient-specific tailored treatments. To establish targeted therapy choices for patients, it is critical to have a full acceptance of the changes that tumors endure, counting modifications in their genetic factors, proteins, and cancer cell behaviors. Tumor treatment requires precise targeting. Big data-driven artificial intelligence (AI) may reveal patterns, insights, and related information hidden inside huge volumes of data. To identify exact data from transcriptomics, radiomics, genomes, proteomics, digital pathological images, etc., subsets of AI’s machine learning capability may be explored. This may help clinicians get a better and more comprehensive knowledge of malignancies. In addition, to provides the optimal therapy for each patient and improves clinical outcomes.