abzaliyev-k 1

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. Modern approaches for diagnosing transformations of the heart in qualified athletes
4. Prognostic value of serum soluble ST2 in professional athletes Valor pronóstico de ST2 soluble en suero en deportistas profesionales
5. Immunological Markers of Cardiovascular Pathology in Older Patients
6. A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning
7. Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters
8. PREDICTION OF CARDIOVASCULAR AGING USING MATHEMATICAL MODELING
9. A Case of Successful Treatment of Left Ventricular Rupture after Transcatheter Aortic Valve Implantation
1