Artificial Intelligence in Drug Discovery and Development

Recently, machine learning (ML) and artificial intelligence (AI) have gained popularity in the healthcare sector. In the field of drug discovery and development, numerous strategies have been developed to create a human healthcare system that is beneficial. Many automated drug development design pipelines and validated ML algorithms are currently being imagined for various diseases. Preclinical research is a crucial stage in the drug development process before ML predictive models are used. These pipelines facilitate a better understanding of the diseases and related biological. These methods enable the exploration of previously unsolvable problems, such as property prediction, molecular design, and synthetic route optimisation, while also lowering the expense and duration of research associated with finding a new drug through in vitro or in vivo models. An overview of the application of AI and ML to drug development is given in this chapter. It talks about the various applications of these technologies as well as the issues that still need to be resolved. An examination of AI and ML’s potential applications in drug discovery rounds out the chapter.