Publications
Ibrahimi, E., Miri, F., Porreca, A. et al. Mixed Modeling of the Effect of Pharmaceutical Pollution on the Metamorphosis of Amphibians from Incomplete Trajectory Data. Inland Water Biol (2025). https://doi.org/10.1134/S1995082924600704
Falco, F. et al. (2024). Ecotoxicity Assessment of Emerging Contaminants (EC) in Fish: Effects, Trends, and Challenges. In: The Handbook of Environmental Chemistry. Springer, Berlin, Heidelberg. https://doi.org/10.1007/698_2024_1190
Santana, E., Ibrahimi, E., Ntalianis, E., Cauwenberghs, N., & Kuznetsova, T. (2024). Integrating Metabolomics Domain Knowledge with Explainable Machine Learning in Atherosclerotic Cardiovascular Disease Classification. International Journal of Molecular Sciences, 25(23), 12905. https://doi.org/10.3390/ijms252312905
Porreca, A., Ibrahimi, E., Maturo, F., Marcos Zambrano, L. J., Meto, M., & Lopes, M. B. (2024). Robust prediction of colorectal cancer via gut microbiome 16S rRNA sequencing data. Journal of Medical Microbiology, 73(10), 001903. https://doi.org/10.1099/jmm.0.001903
Noga, F., Hoti, E., Ibrahimi, E., Toma, D., & Malaj, L. (2024). Perceptions and experiences of community pharmacists with off-label prescribing in the pediatric population. International Journal of Pharmacy Practice, 32(5), 355-362. https://doi.org/10.1093/ijpp/riae031
Aliko, V., Vasjari, L., Ibrahimi, E., Impellitteri, F., Karaj, A., Gjonaj, G., ... & Istifli, E. S. (2024). “From shadows to shores”-quantitative analysis of CuO nanoparticle-induced apoptosis and DNA damage in fish erythrocytes: A multimodal approach combining experimental, image-based quantification, docking and molecular dynamics. Science of the Total Environment, 906, 167698. https://doi.org/10.1016/j.scitotenv.2023.167698
Ibrahimi, E*., Lopes, M. B., Dhamo, X., Simeon, A., Shigdel, R., Hron, K., Stres, B., Berland, M., & Judith, L. (2023). Overview of data preprocessing for machine learning applications in human microbiome research. Frontiers in Microbiology, 14, 1250909. https://doi.org/10.3389/fmicb.2023.1250909
Berberi, S., Ibrahimi, E*. & Bego, F. Modeling the Dynamics of Avian Populations in Europe (1980–2019) through Generalized Additive Mixed Models. Biol Bull Russ Acad Sci 50 (Suppl 4), S686–S693 (2023). https://doi.org/10.1134/S1062359023603762
Ibrahimi, E*., Miri, F., Koçiaj, I. (2024). An assessment of the integration of ICTs into teaching processes by science teachers: The case of Albania. Journal of Technology and Science Education, [S.l.], v. 14, n. 2, p. 405-417. https://doi.org/10.3926/jotse.2319
Papoutsoglou, G., Tarazona, S., Lopes, M. B., Klammsteiner, T., Ibrahimi, E., Eckenberger, J., Novielli, P., Tonda, A., Simeon, A., Shigdel, R., Béreux, S., Vitali, G., Tangaro, S., Lahti, L., Temko, A., Claesson, M. J., & Berland, M. (2023). Machine learning approaches in microbiome research: Challenges and best practices. Frontiers in Microbiology, 14, 1261889. https://doi.org/10.3389/fmicb.2023.1261889
Aliko, V., Vasjari, L., Ibrahimi, E., Impellitteri, F., Karaj, A., Gjonaj, G., Piccione, G., Arfuso, F., Faggio, C., & Istifli, E. S. (2023). “From shadows to shores”-quantitative analysis of CuO nanoparticle-induced apoptosis and DNA damage in fish erythrocytes: A multimodal approach combining experimental, image-based quantification, docking and molecular dynamics. Science of The Total Environment, 906, 167698. https://doi.org/10.1016/j.scitotenv.2023.167698
Judith, L., Manuel, V., Frohme, M., Klammsteiner, T., Ibrahimi, E., Lahti, L., Dhamo, X., Simeon, A., Nechyporenko, A., Pio, G., Przymus, P., Sampri, A., Trajkovik, V., Aasmets, O., Araujo, R., Anagnostopoulos, I., Aydemir, Ö., Berland, M., Calle, M. L., . . . Truu, J. (2023). A toolbox of machine learning software to support microbiome analysis. Frontiers in Microbiology, 14, 1250806. https://doi.org/10.3389/fmicb.2023.1250806
D'Elia, D., Truu, J., Lahti, L., Berland, M., Papoutsoglou, G., Ceci, M., Zomer, A., Lopes, M. B., Ibrahimi, E., Gruca, A., Nechyporenko, A., Frohme, M., Klammsteiner, T., Pau, E. C., Judith, L., Hron, K., Pio, G., Simeon, A., Suharoschi, R., Temko, A., . . . Claesson, M. J. (2023). Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action. Frontiers in Microbiology, 14, 1257002. https://doi.org/10.3389/fmicb.2023.1257002
Meço, M., Hyska, E.D. & Ibrahimi, E. (2024) Comparative Analysis of the Morphological Features of Hypericum haplophylloides in Different Populations. Biol Bull Russ Acad Sci. 1-7. https://doi.org/10.1134/S1062359023605347
Xhelili, P., Ibrahimi, E*., Rruci, E., & Sheme, K. (2021). Adaptation and perception of online learning during COVID-19 pandemic by Albanian university students. International Journal on Studies in Education (IJonSE), 3(2), 103-111. https://doi.org/10.46328/ijonse.49
Ibrahimi, E*., Kërri, A., Kuci, A. (2018). Roli i mënyrës së jetesës në parametrat e hemostazës: Përmbledhje e Literaturës. BSHN, 29, 128-138. https://jns.edu.al/wp-content/uploads/2023/08/4_Review_Eliana_Ibrahimi_A_Kerri_A_Kuci_Perf_239e884064.pdf
Ibrahimi E*. Data analysis and documentation of statistics in biomedical research papers in Albania. Biostatistics Epidemiol Int J. (2018);1(1): 18-20. https://epa.hu/03500/03509/00002/pdf/EPA03509_beij_2018_1_018-020.pdf
Kokojka, F., Lleshaj, A., Rrudho, I., Allgjata, F., Ibrahimi, E. (2017). Shëndeti emocional dhe motivimi tek studentët Shqiptarë. BSHN, 25, 42-50. https://jns.edu.al/wp-content/uploads/2023/08/5_F_Kokojka_et_al_rreg_a2047ba72f.pdf
Kasmi, I., Sallabanda, S., Kasmi, G., Ibrahimi, E. (2015). Nosocomial blood stream infections in pediatric intensive care unit in Albania. JNTS, XX (2), 81-91. https://akad.gov.al/ash/pdf/periodike/JNTS-2-2015.pdf