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Individualized risk prediction has become central in medicine, especially in the monitoring, screening and management of chronic diseases. Dynamic predictions consist of predictions that are based on information repeatedly collected over time and that can be updated (dynamically) as soon as new information becomes available. The so-called dynamic information typically includes biomarker measures and exposure records. The aim of this presentation is to give an overview about how dynamic predictions can be defined and computed, and how their predictive accuracy can be evaluated.