About this Book

Cancer continues to be one of the major causes of illness and death worldwide. Cancer is growing at a shocking speed and touches every geographic region of the world. It is predicted that by 2030 there will be 21.7 million new cases and 13 million deaths. To overcome this problem efficiently and to make significant progress in cancer research and therapy, both the scientific and healthcare sectors must work together. Recent advancements in the development of AI-based methods i.e. ensemble or stacking algorithms to discover novel biomarkers using gene expression and other data provide greater opportunity for complete data analysis to decipher the mechanism of colon cancer initiation, progression, and metastasis. In cancer therapy and precision medicine, drug discovery is critical. The surge of omics data over the previous decade has allowed for experimental and computational prediction of anti-cancer therapies and enhanced drug discovery.

The goal is therefore to both experimentally and computationally investigate the novel biomarkers in the development of colon cancer and drug resistance. Then, novel drug targets (biomarkers) may help to overcome the problem of drug resistance in cancer. The most advanced experimental and computational techniques, particularly using artificial intelligence and machine learning methods, can be implemented to predict the structural implications of mutations. This will be beneficial in understanding mechanisms of drug resistance and the discovery of novel biomarkers and drugs.