AI in Personalized Medicine: Tailoring Treatments to Individual Patients

Abstract

Artificial intelligence (AI) is revolutionizing personalized medicine by tailoring treatments to individual patients based on their genetic, phenotypic, and lifestyle data. This paper explores AI applications in predicting treatment responses, optimizing drug regimens, and developing personalized care plans. We review case studies demonstrating AI's ability to enhance treatment efficacy, reduce side effects, and improve patient outcomes. The paper also discusses challenges such as data privacy, algorithm transparency, and clinical validation. Future research directions are proposed to maximize the benefits of AI in personalized medicine.