Evaluation of the influence of AI and machine learning approaches on drug discovery.

Abstract

Drug discovery has historically been an expensive and time-consuming process, often taking more than a decade and billions of dollars to bring a new drug to market. However, the emergence of artificial intelligence (AI) and machine learning (ML) offers an opportunity to enhance the efficiency and accuracy of the important drug discovery stages such as target identification, drug design and lead optimization, and clinical trial predictions. AI and ML approaches also have the potential to reduce both the time and cost of drug development. The aim of the study is to investigate the influence and transformative potential of artificial intelligence (AI) and machine learning (ML) technologies on the drug discovery process. Material and methods. Literature search, data extraction, analysis, and systematization.