Sagalbayeva U 1

1. Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning
2. Immunological Markers of Cardiovascular Pathology in Older Patients
3. Rates of maternal infections in 15 health care facilities in Almaty region, Kazakhstan
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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