Personalized predictions are important because they can significantly enhance the precision of health interventions. Traditional epidemiological models often rely on population averages, which may not accurately reflect the risk or efficacy for an individual. By incorporating personalized data, such as genetic information, lifestyle factors, and medical history, predictions can be more accurate and actionable.
