Dr. Fadhil Ghaly Yousif Al-Amran

Surgical dept -College of medicine

Kufa University, Iraq

Email: [email protected]

Qualifications

1992 M.D. Degree

Publications (Selected)

1. Yousif, M. G., Al-Jumeily, D., Al-Amran, F. G., et al. (2025). Effect of COVID-19 vaccines on hair loss. Health Education and Health Promotion, 11(3), 341–348.
2. Yousif, N. G., Nöth, U. A., & Al-Amran, F. G. (2025). CAR-T therapy and allogeneic stem cell transplantation for refractory acute myeloid leukemia: A comparative study. Journal of Hematology and Allied Sciences, 5(1), 11–17.
3. Yousif, N. G., Al-Amran, F. G., & Nöth, U. A. (2024). A systematic meta-analysis on proinflammatory cytokine IL-20 mediates and promotes bone metastasis of breast cancer. Am J Biomed Sci, 12(3), 83–100.
4. Yousif, N. G., & Alamran, F. G. (2024). System dynamics analysis of mortality post allogeneic hematopoietic stem cell transplant. American Journal of BioMedicine, 11(3), 110–123.
5. Alasady, D. K., & Al-Amran, F. (2023). Heart assisting options in off pump coronary surgery in Al Najaf center for Cardiac surgery and Trans-catheter Therapy/Al-Najaf/Iraq. Thi-Qar Medical Journal, 26(2), 557–590.
6. Yousif, M. G., Zeiny, L. S., Al-Amran, F. G., et al. (2023). Demographics, risk factors, and post-COVID-19 syndrome among patients in the Middle Euphrates Region of Iraq. Advancements in Life Sciences, 10, 41–45.
7. Yousif, M. G., Al-Amran, F. G., Rawaf, S., et al. (2023). Effect of vitamin D3 levels on varicella-zoster virus infection and IFN-gamma expression in children: A cross-sectional study in Iraq. Advancements in Life Sciences, 10(S1), 35–40.
8. Yousif, M. G., Fatima, G., Castro, H. J., et al. (2023). Unraveling post-COVID-19 immune dysregulation using machine learning-based immunophenotyping. arXiv preprint arXiv:2310.01428.
9. Yousif, M. G., Castro, H. J., Martin, J., et al. (2023). Predicting long-term renal impairment in post-COVID-19 patients with machine learning algorithms. arXiv preprint arXiv:2309.16744.
10. Yousif, M. G., Al-Amran, F. G., & Castro, H. J. (2023). Identifying risk factors for post-COVID-19 mental health disorders: A machine learning perspective. arXiv preprint arXiv:2309.16055.
11. Yousif, M. G., Al-Amran, F. G., Rawaf, S., et al. (2023). Machine learning-driven analysis of gastrointestinal symptoms in post-COVID-19 patients. arXiv preprint arXiv:2310.00540.
12. Al-Amran, F. G., Rawaf, S., & Yousif, M. G. (2023). Early detection of post-COVID-19 fatigue syndrome using deep learning models. arXiv preprint arXiv:2310.03035.
13. Fatima, G., Al-Amran, F. G., & Yousif, M. G. (2023). Automated detection of persistent inflammatory biomarkers in post-COVID-19 patients using machine learning techniques. arXiv preprint arXiv:2309.15838.
14. Al-Amran, F. G., Hezam, A. M., Rawaf, S., et al. (2023). Genomic analysis and artificial intelligence: Predicting viral mutations and future pandemics. arXiv preprint arXiv:2309.15936.
15. Martin, J., Albaqer, H. A., Al-Amran, F. G., et al. (2023). Characterizing pulmonary fibrosis patterns in post-COVID-19 patients through machine learning algorithms. arXiv preprint arXiv:2309.12142.
16. Albaqer, H. A., Al-Jibouri, K. J., Martin, J., et al. (2023). Long-term neurological sequelae in post-COVID-19 patients: A machine learning approach to predict outcomes. arXiv preprint arXiv:2309.09993.
17. Eydan, S., Mustafa, M. A., & Al-Amran, F. G. (2023). Effect of multicomponent exercise program on the dyspnea and fatigue for patients with cardiac dysfunction. Kufa Journal for Nursing Sciences, 13(2), 306–319.

Profile Details
https://www.researchgate.net/profile/Fadhil-Al-Amran
https://scholar.google.com/citations?user=otCIBswAAAAJ&hl=en
https://rms.mohesr.gov.iq/researchers/18e6ffc0-b4dd-474e-8b6a-ed254a0be102

WOS ResearcherID: EJT-6936-2022