Artificial Intelligence for Biomedical Data

Abstract

Artificial Intelligence (AI) is a field of computer science and computer engineering that harnesses the power of techniques like machine /deep learning to solve problems by learning from data. Recent advances in the high throughput biotechnologies resulted in the creation of massive omics data (e.g., genomics, proteomics, transcriptomics, metabolomics), medical imaging data, clinical data, electronic medical records, and others. These data from patients provide unparalleled levels of insightful information for aiding the prognosis, diagnosis and treatment of complex diseases.

In this talk, after an introduction to artificial intelligence, I will mainly present some of the research work from my group about artificial intelligence for biomedical data. I will first talk about two deep learning models for brain image segmentation and a machine learning framework for brain image-based diagnosis. Then I talk about a deep belief network model and a graph convolutional neural network model for predicting disease genes from multiple sources of data. Finally, I will briefly talk about my research work in the other areas.

Biography

Dr. FangXiang Wu received the B. Sc. degree and the M. Sc. degree in applied mathematics, from Dalian University of Technology (in Dalian, China) in 1990 and 1993, respectively. He received two Ph.Ds: the first one in control theory and its applications from Northwestern Polytechnical University (in Xi’an, China) in 1998, and the second one in bioinformatics and systems biology from University of Saskatchewan (in Saskatoon, Canada) in 2004. He worked as a post-doctoral fellow with Laval University Medical Research Center, Quebec City, Quebec, during 2004-2005. Dr. Wu is currently a full professor of College of Engineering and Department of Computer Science at the University of Saskatchewan. His current research interests include Artificial Intelligence, Machine/Deep Learning, Computational Biology and Bioinformatics, Image Analytics, Complex Network Analytics. He has published more than 380 technical papers in refereed journals and conference proceedings. He has delivered over 80 invited research talks in international conferences or academic institutes worldwide.  Dr. Wu is serving as the editorial board member of six international journals (including IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Neurocomputing, Scientific Reports, etc.), the guest editor of more than 20 international journals, and as the program committee chair or member of many international conferences. He is a senior member of IEEE and a registered Professional Engineer in APEGS in Saskatchewan.