A faculty member in the Department of Anesthesia Technologies, Ms. Taiba Hussein Shaman Hussein, discussed her Master’s thesis at the Department of Software Engineering, College of Information Technology, University of Babylon, entitled: “Predicting Image-Based Phenotypic Representations of Chemotherapy-Treated Cancer Cells Using Siamese Networks,” under the supervision of Prof. Dr. Sura Zaki Naji. The thesis defense was conducted in a distinguished scientific and academic atmosphere that reflected the advanced level and significance of the research, particularly at the intersection of artificial intelligence, medical image analysis, and modern biological research. The study focused on employing Masked Siamese Networks (MSN), supported by weak supervision techniques, to extract accurate and biologically meaningful phenotypic representations directly from high-content fluorescent microscopic images. This approach contributes to improving the analysis of cellular phenotypic patterns under the influence of chemotherapy. The study confirmed that integrating self-supervised representation learning with weak supervision provides a robust and efficient framework for analyzing high-content cellular microscopy data, opening broad prospects for the development of scientific and medical applications and enhancing the role of artificial intelligence technologies in supporting biological research and advancing modern therapeutic strategies. Al-Mustaqbal University The First University in Iraq