AI-Driven Vaccine Design and Development

Abstract

AI has recently been applied to a number of medical fields, including the development of vaccines. Artificial intelligence-based vaccine design refers to the use of AI software and algorithms to analyze large amount of biological data in order to determine potential vaccine targets and immune system responses. Traditional vaccine development methods are time taking and involves high expenses, a number of tests and trials and has high risk of failure. With the help of AI tools, there is less wastage of time, better chances of success without involving the large numbers of experiments.  AI tools study the pattern of viruses or bacteria, select the most suitable antigen and predict how the body will react to certain conditions. By the use of AI, scientists have been able to identify best target, develop better formulations, and improve the success of clinical trials. In case of outbreak of Covid-19 AI played an important role in vaccine development. It also facilitated the discovery of spike protein and mRNA sequences, reducing vaccine development time to months from years. It also helped in creating a customized cancer vaccine based on analysing the DNA of a person’s tumour. Primarily, it teaches the immune system to seek out and kill cancer cells while sparing healthy ones.