AI and Personalized Medicine: Revolutionizing Healthcare Through Data-Driven Insights

Abstract

Artificial Intelligence (AI) is transforming the field of personalized medicine by providing data-driven insights for individualized healthcare solutions. This paper explores the integration of AI in personalized medicine, focusing on its applications in genomics, disease prediction, and tailored treatment plans. We reviewed 50 clinical trials and case studies that utilized AI algorithms to analyze patient data, identify genetic markers, and predict disease outcomes. Our findings reveal that AI significantly improves diagnostic accuracy and enables the development of customized treatment strategies. However, challenges such as data privacy, regulatory approval, and equitable access to AI-driven healthcare remain critical. The paper concludes with recommendations for accelerating the adoption of AI in personalized medicine while addressing ethical and regulatory concerns.