Various automated techniques such as AI and ML have revolutionized the healthcare industry. There is a lot of biological data nowadays due to the advancement of several fields of biology including biochemistry, microbiology, genetics as well as structural biology, and immunology. Beyond that, bioinformatics which utilizes computational techniques to handle biological data has also been advanced and expanded recently to handle this large amount of biological data generated. In bioinformatics, several databases have been developed for data storage and other computational techniques including ML and AI have been utilized to enhance the research in the immunology sector. For instance, these techniques have been used for the identification of epitopes. Moreover, ML models have been developed for some specific proteins Computational modeling techniques might be of valuable benefit in immune imprinting, evolution, and transmission of viruses. There might be positive and negative effects of imprinting as exposure to influenza in childhood might shape and minimize future infection responses due to memory of conserved antigens of the influenza virus. However, there is a debate regarding the effectiveness of imprinting. Therefore, it could be stated that computational modeling might show the benefits of the universal influenza vaccine programs as they handle the risks of different strains and pandemics of the future. Moreover, the clinical data generated as well as the benefits of these UIV programs should be explored further carefully .