Wei-Chung Shia

My research work is the translational medical research of breast cancer. Through the application of information theory and bioinformatics technology, I analyze a large amount of data for a single topic and look forward to returning the research results to the clinic and making practical contributions to patients. Research topics in recent years include the following items: (1) Using the machine learning/deep learning strategies to identify image features of malignant tumor for mammography images and breast ultrasound images (2) Establishing a normal model of female breast density in Taiwan by analyzing mammography images, and discuss the correlation between breast density and breast cancer (3) The specific miRNAs in triple-negative breast cancer cell lines and their induction of apoptosis. In recent years, these research results were mainly published in international journals and clinical medical conferences. At the same time, I am also has been invited to many international breast medicine seminars for the lecture talk. Welcome to contact people who are interested in this field to exchange and share experiences.