Department Of Big Data And Artificial Intelligence 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. A Lightweight Edge-AI System for Disease Detection and Three-Level Leaf Spot Severity Assessment in Strawberry Using YOLOv10n and MobileViT-S
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
6. Development of a digital twin of a network of heating systems for smart cities on the example of the city of Almaty
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