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Abstract

The drug development lifecycle is a complex and resource-intensive process, encompassing various stages from discovery through to market launch and post-market surveillance. As the pharmaceutical industry faces mounting pressures such as increased competition, regulatory scrutiny, and the need for faster time-to-market, leveraging technology has become imperative. This article explores how technologies such as artificial intelligence, machine learning, data analytics, and digital health solutions are transforming the drug development lifecycle. By employing a comprehensive methodology that includes a literature review, case studies, and expert interviews, we illustrate the practical applications of these technologies. The discussion highlights the benefits, challenges, and future implications of technology in drug development. Ultimately, we conclude that embracing technological innovations is essential for enhancing efficiency, reducing costs, and improving patient outcomes in the pharmaceutical industry.