Tehran University of Medical Sciences

Science Communicator Platform

Faculty Members have conducted research related to the Machine Learning Approach for the Determination of the Best Cut-Off Points for Ki67 Proliferation Index in Adjuvant and Neo-Adjuvant Therapy Breast Cancer Patients
Mahdi Aghili
Mahdi Aghili

Professor of Radiation Oncology

Department Radiotherapy

School of Medicine

Imam Khomeini Hospital Complex,Cancer Institute

Radiation Oncology Research Center

Tehran University of Medical Sciences

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43. Radiosensitization of Glioma Cells by Temozolomide (Tmz): A Colony Formation Assay, Journal of Biomedical Physics and Engineering (2022)
57. Multimodality Treatment in Unresectable Cholangiocarcinoma, Journal of Contemporary Brachytherapy (2020)
75. A Time for Optimism? the State of Radiation Oncology in Iran, International Journal of Radiation Oncology Biology Physics (2016)