This study aims to computationally explore the age-related evolution of atherosclerotic plaques with a specific focus on the mechanical vulnerability of arterial tissues. The research investigates how structural and material alterations in aging arteries contribute to increased plaque vulnerability, which is a major determinant in the risk of cardiovascular events. The ultimate goal is to enhance our mechanistic understanding and predictive capacity regarding vulnerable plaque formation using patient-specific conditions across different age profiles. To address this objective, the study builds a simulation-based framework that links arterial tissue aging with the mechanical environment contributing to plaque formation and potential rupture. It begins with a geometric reconstruction of arterial sections exhibiting early-stage atherosclerotic plaques. These geometries are then subjected to virtual aging, incorporating age-related changes in plaque composition, focusing on lipid pool growth. Finite element simulations estimate strain and stress fields, identifying potential zones of mechanical failure. The model is iteratively adapted to reflect known histological and clinical patterns of plaque progression and vulnerability. The study identifies specific mechanical indicators—such as increasing strain gradients and stress concentrations, that correlate with experimentally observed plaque rupture locations in aged arterial segments. This approach enables early identification of high-risk plaques based on patient-specific aging patterns, paving the way for more accurate clinical risk stratification and the design of personalized therapeutic strategies. Moreover, the findings support the development of preventive interventions that consider age-related biomechanical weakening of arterial tissues.