Two graduate students from Karadeniz Technical University (KTU) have received support from the Turkish Health Institutes (TÜSEB) for their innovative scientific project proposals.

Rahmah ELVIRA, a Physics M.Sc. student, is conducting a project titled "Application of Machine Learning to Improve Depth of Interaction (DOI) in PET Systems", under the supervision of Prof. Dr. Tuncay BAYRAM. The aim of the project is to improve image quality in PET systems using machine learning techniques to enhance DOI accuracy and to develop optimized PET detector designs. This project contributes to the advancement of pre-clinical PET imaging and holds potential for the medical device field in Türkiye by proposing novel, efficient designs and techniques in nuclear medicine imaging.

Another M.Sc. student, Fatma Tuana DOÄžU, is leading a project titled "Automatic Detection of Acute Kidney Injury (AKI) Stage Using Deep Learning", with the support of Assoc. Prof. Hülya DOÄžAN and Asst. Prof. Dr. Mehmet ÖZTÜRK. The project aims to develop a deep learning-based model for the automatic detection of AKI stages from pathology images. This model is intended to be integrated into clinical decision support systems, offering faster and more accurate diagnoses, and thereby improving early treatment opportunities. The project stands as a strong example of artificial intelligence applications in healthcare.

In his statement, KTU Rector Prof. Dr. Hamdullah ÇUVALCI emphasized the university’s commitment to educating students who engage in research that benefits national interests and upholds academic quality. He noted that encouraging student involvement in research and entrepreneurship is a key objective of the university’s 2024–2028 Strategic Plan. He highlighted the university’s ongoing efforts to support student-led projects, both through internal funding and infrastructure development, and expressed pride in the students who have successfully secured national research grants, calling it a rewarding outcome of these institutional efforts.

 

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