This review delves into the transformative influence of Artificial Intelligence (AI) in pharmaceutical science, with a primary focus on accelerating drug discovery processes. AI capacity to analyze vast datasets, encompassing genomic information and chemical structures, emerges as a game changer, significantly outpacing traditional methods. The article explores key areas such as target identification, validation, predictive analytics for drug development, personalized medicine, and the optimization of clinical trials .AI data processing capabilities streamline drug discovery by efficiently pinpointing potential drug candidates and expediting the validation of targets. The integration of predictive analytics enhances decision making in drug development, minimizing trial failures and prioritizing compounds with higher success probabilities. The paradigm shift towards personalized medicine is examined, showcasing how AI tailors treatments based on individual patient data for improved efficacy. Furthermore, the article delves into the optimization of clinical trials, emphasizing AI role in enhancing trial design and patient cohort selection. By offering a comprehensive overview, this review underscores the profound impact of AI on reshaping pharmaceutical science, fostering more efficient, targeted, and patient centric approaches to drug discovery.