Abstract

Gaurav Patil*, Valmik Bhoi and Vinit Khairnar

ABSTRACT

The pharmaceutical industry has witnessed a paradigm shift with the integration of Artificial Intelligence (AI) in recent years. AI has transformed the drug discovery and development process, enabling faster, more accurate, and cost-effective outcomes. This review highlights the recent advancements of AI in the pharmaceutical industry, including machine learning (ML) algorithms, deep learning (DL) techniques, and natural language processing (NLP). We discuss the applications of AI in pharmaceutical research, such as target identification, lead optimization, and clinical trial design. Additionally, we explore the use of AI in pharmaceutical manufacturing, including process optimization and quality control. The review also addresses the challenges and limitations of AI adoption in the pharmaceutical industry, including data quality, regulatory frameworks, and cybersecurity concerns. Finally, we provide insights into the future directions of AI in pharmaceuticals, including the potential for personalized medicine and precision healthcare.