يولي قسم العلوم الأساسية في طب الأسنان اهتمامًا كبيرًا بالبحث العلمي، حيث يتمتع أعضاء الهيئة التدريسية في القسم بنشاط بحثي واضح واهتمام مستمر بالإنتاج العلمي. وقد تم نشر عدة أبحاث علمية في مجلات علمية محكّمة في مجالات تخصص القسم المختلفة، بما يسهم في تطوير المعرفة العلمية، وتعزيز الربط بين العلوم الأساسية والتطبيقات السريرية، ورفع المستوى الأكاديمي والعلمي للقسم والكلية.

ومن ضمن هذه الأبحاث:

1. Badrasawi T, Nazzal Z, Massad N, Salameh E, Ibdah A. Stress and occupational burnout levels among Palestinian dentists, and associated factors: A cross-sectional study in 2023. Heliyon. 2024;10(11):e32034. Published 2024 May 29. https://doi.org/10.1016/j.heliyon.2024.e32034  
2. Badrasawi T, Basha W. Trichomonas Tenax and Entamoeba Gingivalis Prevalence Among Palestinian Adults, A PCR-Based Cross-Sectional Study. (2025). European Journal of Dental and Oral Health, 6(1), 34-39. https://doi.org/10.24018/ejdent.2025.6.1.364
3. Badrasawi T, Basha W, Badrasawi I. iTrichomonas Tenax /iand iEntamoeba Gingivalis /iRelation to Periodontal Diseases Prevalence: A Literature Review. (2025). European Journal of Dental and Oral Health, 6(6), 19-23. https://doi.org/10.24018/ejdent.2025.6.6.410 
4. Al-Hammad WE, Kuroda M, Kamizaki R, Tekiki N, Ishizaka H, Kuroda K, Sugimoto K, Oita M, Tanabe Y, Barham M, et al. Mean Heart Dose Prediction Using Parameters of Single-Slice Computed Tomography and Body Mass Index: Machine Learning Approach for Radiotherapy of Left-Sided Breast Cancer of Asian Patients. Current Oncology. 2023; 30(8):7412-7424. 
5. Kamizaki, R., Kuroda, M., Al‑Hammad, W. E., Tekiki, N., Ishizaka, H., Kuroda, K., Sugimoto, K., Oita, M., Tanabe, Y., Barham, M., Sugianto, I., Nakamitsu, Y., Hirano, M., Muto, Y., Ihara, H., Sugiyama, S.”Evaluation of the accuracy of heart dose prediction by machine learning for selecting patients not requiring deep inspiration breath‑hold radiotherapy after breast cancer surgery”. Experimental and Therapeutic Medicine 26.5 (2023): 536.
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7. Nakamitsu, Y., Kuroda, M., Shimizu, Y., Kuroda, K., Yoshimura, Y., Yoshida, S., Nakamura, Y., Fukumura, Y., Kamizaki, R., Al-Hammad, W. E., Oita, M., Tanabe, Y., Sugimoto, K., Sugianto, I., Barham, M., Tekiki, N., & Asaumi, J. (2024). Enhancing Diagnostic Precision: Evaluation of Preprocessing Filters in Simple Diffusion Kurtosis Imaging for Head and Neck Tumors. Journal of Clinical Medicine, 13(6), 1783.
8. Al-Hammad, W. E., Kuroda, M., Al Jamal, G., Fujikura, M., Kamizaki, R., Kuroda, K., Yoshida, S., Nakamura, Y., Oita, M., Tanabe, Y., Sugimoto, K., Sugianto, I., Barham, M., Tekiki, N., Hisatomi, M., & Asaumi, J. (2025). Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy. Diagnostics, 15(6), 668.
9. Yoshida, S., Kuroda, M., Nakamura, Y., Fukumura, Y., Nakamitsu, Y., Al-Hammad, W. E., Kuroda, K., Shimizu, Y., Tanabe, Y., Oita, M., Sugianto, I., Barham, M., Tekiki, N., Kamaruddin, N. N., Hisatomi, M., Yanagi, Y., & Asaumi, J. (2025). Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis. Diagnostics, 15(6), 790.
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