Abstract

A REVIEW ARTICLE ON: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN DRUG DISCOVERY AND DEVELOPMENT

Janhavi K. Bundele*, Ajit B. Tuwar and Megha T. Salve

Abstract

The rapid development of artificial intelligence (AI) and machine learning (ML) has significantly reshaped various industries, including pharmaceuticals. This review explores the application of AI and ML in drug discovery, highlighting their potential to enhance efficiency, accuracy, and cost-effectiveness throughout the drug development process. A systematic evaluation of recent literature reveals how these technologies facilitate drug design, molecular predictions, and regulatory procedures. Moreover, AI and ML are poised to reduce the need for extensive clinical trials through advanced simulations and predictive modeling. However, challenges such as data integration, regulatory hurdles, and a lack of skilled professionals remain barriers to widespread adoption. This paper discusses these challenges and outlines the future scope of AI and ML in revolutionizing drug discovery.

Keywords: Introduction, Search Methodology and Article Selection, Results, Challenges of AI and ML integration in Drug Discovery and Development, Future Scope Of AI And ML Integration In Drug Discovery And Development, Real-World Example: AI in Drug Repurposing –