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Introduction The Pharmaceutical Industry has been exploring ways to discover new drugs to tackle various health challenges. Historically, drug discovery has been a time-consuming and expensive process, often taking years and costing billions of dollars. In this article, we will explore the profound impact of AI on drug discovery in the pharmaceutical industry. Enhanced Target Identification One of the primary challenges in drug discovery is identifying suitable molecular targets for therapeutic intervention. AI techniques, particularly machine learning algorithms, have proven instrumental in analyzing vast amounts of biological data to identify potential drug targets more efficiently. By integrating genomic, proteomic, and metabolic data, AI systems can uncover novel targets with greater precision and accuracy, thereby accelerating the early stages of drug discovery. Accelerated Drug Screening Traditional in vitro methods for drug screening involve testing thousands of compounds to as...