Biography

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)

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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).
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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

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