Prof. Esma R. Isenovic
Institute Vinca
University of Belgrade, Serbia
Email: isenovic@yahoo.com
Qualifications
1992-1996 Ph.D.(Molecular Biology), Faculty of Natural Sciences and
Mathematics, University of Belgrade, Yugoslavia
1987-1992 M.Sci.(Molecular Biology), Faculty of Natural Sciences and
Mathematics, University of Belgrade, Yugoslavia
1982-1987 B.Sc.(General Biology), Faculty of Natural Sciences and
Mathematics, University of Belgrade, Yugoslavia
Publications (Selected)
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Tiwari, E., Gupta, S., Pavulla, A., Al-Maini, M., Singh, R., Isenovic, E. R., ... & Suri, J. S. (2025). Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models. Biomedical Signal Processing and Control, 106, 107672.
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Manojlovic, M., Ilincic, B., Bojovic, M., Kolarski, I., Naglic, D. T., Stokic, E., ... & Isenovic, E. R. (2025). Correlation between blood cell indices and adiponectin and leptin levels in COVID-19. Biomolecules and Biomedicine, 25(3), 693.
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Banjac, K., Obradovic, M., Zafirovic, S., Essack, M., Gluvic, Z., Sunderic, M., ... & Isenovic, E. R. (2024). The involvement of Akt, mTOR, and S6K in the in vivo effect of IGF-1 on the regulation of rat cardiac Na+/K+-ATPase. Molecular Biology Reports, 51(1), 517.
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Lukic, N., Macvanin, M. T., Gluvic, Z., Rizzo, M., Radak, D., Suri, J. S., & Isenovic, E. R. (2024). SGLT-2 inhibitors: The next-generation treatment for type 2 diabetes mellitus. Current Medicinal Chemistry, 31(30), 4781-4806.
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Bhagawati, M., Paul, S., Mantella, L., Johri, A. M., Gupta, S., Laird, J. R., ... & Suri, J. S. (2024). Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data. Diagnostics, 14(17), 1894.
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Singh, M., Kumar, A., Khanna, N. N., Laird, J. R., Nicolaides, A., Faa, G., ... & Suri, J. S. (2024). Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review. EClinicalMedicine, 73.
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Saba, L., Maindarkar, M., Johri, A. M., Mantella, L., Laird, J. R., Khanna, N. N., ... & Suri, J. S. (2024). UltraAIGenomics: Artificial intelligence-based cardiovascular disease risk assessment by fusion of ultrasound-based Radiomics and genomics features for preventive, personalized and precision medicine: A narrative review. Reviews in Cardiovascular Medicine, 25(5), 184.
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Singh, J., Khanna, N. N., Rout, R. K., Singh, N., Laird, J. R., Singh, I. M., ... & Suri, J. S. (2024). GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides. Scientific reports, 14(1), 7154.
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Nayak, D. S. K., Mahapatra, S., Routray, S. P., Sahoo, S., Sahoo, S. K., Fouda, M. M., ... & Swarnkar, T. (2024). aiGeneR 1.0: an artificial intelligence technique for the revelation of informative and antibiotic resistant genes in Escherichia coli. Frontiers in Bioscience-Landmark, 29(2), 82.
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Khanna, N. N., Singh, M., Maindarkar, M., Kumar, A., Johri, A. M., Mentella, L., ... & Suri, J. S. (2023). Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review. Journal of Korean medical science, 38(46).
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Al-Maini, M., Maindarkar, M., Kitas, G. D., Khanna, N. N., Misra, D. P., Johri, A. M., ... & Suri, J. S. (2023). Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review. Rheumatology international, 43(11), 1965-1982.
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Petrović, N., Essack, M., Šami, A., Perry, G., Gojobori, T., Isenović, E. R., & Bajić, V. P. (2023). MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment. Computational Biology and Chemistry, 106, 107925.
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Alamri, H. S., Mufti, R., Sabir, D. K., Abuderman, A. A., Dawood, A. F., ShamsEldeen, A. M., ... & El-Bidawy, M. H. (2023). Forced swimming-induced depressive-like behavior and anxiety are reduced by chlorpheniramine via suppression of oxidative and inflammatory mediators and activating the Nrf2-BDNF signaling pathway. Current Issues in Molecular Biology, 45(8), 6449-6465.
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Macvanin, M. T., Gluvic, Z. M., Zaric, B. L., Essack, M., Gao, X., & Isenovic, E. R. (2023). New biomarkers: prospect for diagnosis and monitoring of thyroid disease. Frontiers in Endocrinology, 14, 1218320.
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Macvanin, M. T., Gluvic, Z., Bajic, V., & Isenovic, E. R. (2023). Novel insights regarding the role of noncoding RNAs in diabetes. World Journal of Diabetes, 14(7), 958.
Profile Details
https://orcid.org/0000-0002-0012-2636
https://scholar.google.com/citations?user=O7_46bgAAAAJ&hl=en
https://www.researchgate.net/profile/Esma-Isenovic