AI-Driven Personalization in Digital Marketing: Algorithmic Approaches and Applications in the Life Sciences Industry

This paper explores the strategic application of AI-driven personalization in digital marketing, with a specific focus on the highly regulated and sensitive life sciences industry. Bridging the fields of business management, industrial microbiology, and AI, it demonstrates how sophisticated algorithms can enhance engagement and drive business growth in specialized markets like pharmaceuticals, biotechnology, and food tech. The paper outlines key AI algorithms—including collaborative filtering, reinforcement learning, and neural networks—and examines their specific applications through illustrative case studies. It concludes by discussing the ethical considerations and future potential of these technologies in a life sciences context, highlighting their role in creating more effective, targeted, and compliant marketing campaigns.