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Membranes|October 28, 2025
Composite Membranes Based on MXene and Nanocellulose for Water Purification: Structure, Efficiency, and Future ProspectsMadina Suleimenova, Aidana Tabynbayeva, Kainaubek Toshtay, et al.Biomedicines|October 29, 2025
Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular AgingKuat Abzaliyev, Madina Suleimenova, Symbat Abzaliyeva, et al.International Journal of Molecular Sciences|July 29, 2023
Fusion-Assisted Hydrothermal Synthesis of Technogenic-Waste-Derived Zeolites and Nanocomposites: Synthesis, Characterization, and Mercury (II) AdsorptionMadina Suleimenova, Saule Zharylkan, Meruyert Mekenova, et al.Journal of Clinical Medicine|July 15, 2026
Predicting the Risk of Cardiovascular Diseases in the Elderly Based on Clinical Data and Heart Rate Variability Using Machine LearningKuat Abzaliyev, Akbota Bugibayeva, Symbat Abzaliyeva, et al.Diagnostics (Basel, Switzerland)|April 14, 2026
Use of Machine Learning in Predicting the Risk of Cirrhosis in Autoimmune Hepatitis Based on Clinical and Immunological IndicatorsNazugum Ashimova, Aigul Raissova, Elmira Kuantay, et al.Diagnostics (Basel, Switzerland)|August 14, 2025
Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical-Biochemical ParametersMadina Suleimenova, Kuat Abzaliyev, Ainur Manapova, et al.Biomedicines|June 26, 2025
Immunological Markers of Cardiovascular Pathology in Older PatientsAkbota Bugibayeva, Almagul Kurmanova, Kuat Abzaliyev, et al.Diagnostics (Basel, Switzerland)|April 12, 2025
A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine LearningMadina Suleimenova, Kuat Abzaliyev, Madina Mansurova, et al.Pageof 1