Dr. Ozyoruk is a research scientist with the Madabhushi Lab focusing on radiomics, multimodal AI, explainable AI, and AI applications in prostate cancer and colorectal cancer. Her professional goal is to develop clinically meaningful AI tools that can support diagnosis, prognosis, risk stratification, and personalized treatment planning.
For the Prostate Aging Index projects, she is working on developing an AI-based prostate aging score using MRI and clinical data. The goal is to study aging-related prostate changes and improve risk stratification for benign prostatic hyperplasia, or BPH, and prostate cancer.
For the Colorectal Cancer Computational Pathology project, she is working on extracting image-based features linked to tumor behavior and prognosis and then using AI to analyze colorectal cancer pathology images.
For the Recurrence Prediction in Prostate Cancer, project, she is building multimodal AI models to predict biochemical recurrence after prostate cancer treatment. The goal is to identify higher-risk patients and support personalized follow-up.
My professional interests include medical imaging, computational pathology, machine learning, and cancer research. I am especially interested in radiomics, multimodal AI, explainable AI, and AI applications in prostate cancer and colorectal cancer. My goal is to develop clinically meaningful AI tools that can support diagnosis, prognosis, risk stratification, and personalized treatment planning.
Dr. Ozyoruk completed a postdoctoral research fellowship in the Molecular Imaging Branch of the National Cancer Institute and a postdoctoral research fellowship at Mahmood Lab in the Department of Pathology at Brigham & Women’s Hospital and Harvard Medical School. She additionally held positions working on AI and data for various agencies in Istanbul, Turkey.
Dr. Ozyoruk earned her PhD in mathematics, probablity and statistics from Bogazici University in Turkey.