袗胁褌芯褉写褘遥 卸邪褉懈褟谢邪薪褘屑写邪褉褘
Abzaliyev, K.
袘邪褉谢褘覜 卸邪褉懈褟谢邪薪褘屑写邪褉
12
袘械谢褋械薪写褨谢褨泻 卸褘谢写邪褉褘
4
袞邪褉懈褟谢邪薪褘屑 褌爷褉谢械褉褨
2
2026 (2)
2025 (6)
- A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning
- PREDICTION OF CARDIOVASCULAR AGING USING MATHEMATICAL MODELING
- Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging
- Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical鈥揃iochemical Parameters
- Immunological Markers of Cardiovascular Pathology in Older Patients
- Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning
2021 (3)
- Prognostic value of serum soluble ST2 in professional athletes Valor pron贸stico de ST2 soluble en suero en deportistas profesionales
- Modern approaches for diagnosing transformations of the heart in qualified athletes
- Prediction of arrhythmia recurrence after atrial fibrillation ablation in patients with normal anatomy of the left atrium