The Use of Machine Learning in Personalized Medicine: Current Approaches

Abstract

Machine learning (ML) has emerged as a transformative technology in personalized medicine, offering a way to analyze large-scale patient data to predict disease risk, optimize treatment strategies, and enhance outcomes. This article explores the integration of ML techniques in various aspects of personalized medicine, from diagnostics to therapeutic interventions. It also discusses the challenges and future directions for ML in precision healthcare, including ethical considerations, data privacy, and the role of big data.