Abstract
Immunotherapy has emerged as a revolutionary treatment approach for cancer, harnessing the body's immune system to target and eliminate tumor cells. The development of effective immunotherapies requires a deep understanding of the immune system and the complex interactions between immune cells and cancer cells. Bioinformatics has become an essential tool in advancing immunotherapy research by providing computational methods to analyze large-scale omics data and model immune responses. This article reviews the role of bioinformatics in immunotherapy research, with a focus on the identification of biomarkers, immune system modeling, and the design of personalized immunotherapies. We also discuss the challenges and future directions in the integration of bioinformatics into immunotherapy development.

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