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1. Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging
2. Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning
3. Immunological Markers of Cardiovascular Pathology in Older Patients
4. A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning
5. Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters
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