Suzan Arslanturk

Suzan Arslanturk is an Assistant Professor in the Department of Computer Science in the College of Engineering at Wayne State University. Her interests and expertise falls in the broad area of health informatics and healthcare systems engineering. She is motivated in solving challenging theoretical and applied research problems that enable the development of innovative machine learning and clinical solutions to enhance individual and population health outcomes, improve patient care, and optimize the operational performance of healthcare delivery systems. Her research is focused primarily on integrating predictive analytics (e.g., mining of large data sets, statistical modeling, computational intelligence) with prescriptive analytics using data science to improve clinical performance as well as the design and operations in the healthcare delivery systems. 

Suzan and her research group are developing novel methods to improve our understanding of skeletal muscle function and to understand the dynamic state transitions within skeletal muscle cells. In particular, she is working on using long short-term memory (LSTM) units of a recurrent neural network (RNN) to be able to predict the time-dependent changes in the morphology of the skeletal muscle cells (size, shape, and distribution of the intracellular organelles, and their spatial relationships) using Differential Expansion Microscopy (DiExM) and Electron Microscopy (EM) images.

Additionally, Suzan is developing deep learning models for a comprehensive understanding of immobilization-induced myopathy in humans. She is developing deep neural networks to be able to perform organelle segmentation and to predict the status of myopathy in the human skeletal muscle biopsy tissue from immobilized age-matched patients and human skeletal muscle cells using DiExM images.