A team of Kazakhstani researchers has developed an AI-powered model using XGBoost to predict age-related heart disease with over 90% accuracy. By analyzing immune markers like CD14+, TNF-alpha, and IL-10, the tool enables early diagnosis and preventive care in patients over 60. This model outperforms traditional prediction techniques, offering a transformative approach to aging-related cardiovascular risk. The integration of immunology and AI promises smarter, proactive healthcare for the elderly.