AI-Powered Predictive Analytics for Personalized Healthcare

Abstract

The shift toward personalized healthcare is being accelerated by advancements in AI-driven predictive analytics. This paper examines how machine learning algorithms can process diverse datasets, including genomics, lifestyle data, and clinical history, to predict disease susceptibility and recommend tailored interventions. The study evaluates the effectiveness of predictive models in managing chronic conditions like diabetes and hypertension. Ethical considerations, including informed consent and equitable access to AI tools, are also addressed.