Personalized epidemiology refers to the application of individualized data to understand and manage the health of specific populations. It combines traditional epidemiological methods with modern techniques such as genomics, big data analytics, and machine learning to create tailored public health strategies. This approach aims to move beyond one-size-fits-all solutions to address the unique characteristics of subgroups or even individuals within a population.
