Abstract

ROLE OF ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND DEVELOPMENT

Arjun Dnyaneshwar Pawar*

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Abstract

The current rise of artificial intelligence and machine learning has been remarkable. This reduced people's workload and greatly improved the quality of life. This article describes the use of artificial intelligence and machine learning to improve drug discovery and development. This study conducted a systematic review of studies; these were selected based on the previous knowledge of the authors and a keyword search of public databases filtered by relevant context, abstract, methodology, and full text. This task force supported the role of machine learning and artificial intelligence in facilitating drug discovery and development processes, making them more costeffective or eliminating the need for clinical trials altogether, since these technologies can be used to run simulations. They also allowed scientists to study different molecules more widely without experiments. The results of this work demonstrate the general application of machine learning and artificial intelligence methods in drug development and indicate a promising future for these technologies. These results should allow researchers, students and the pharmaceutical industry to dive deeper into machine learning and artificial intelligence in the context of drug discovery and development.

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