Talks & Seminars
Title: Image based risk score (IBRIS) predictor: Identifying disease aggressiveness from computerized image analysis of tissue histopathology
Prof. Anant Madabhushi, Case Western Reserve University
Date & Time: July 21, 2014 16:55
Venue: KReSIT Building Conference Room (1st floor; next to HOD's Office)
With the advent of digital pathology, there is an opportunity to develop computerized image analysis methods to not just detect and diagnose disease from histopathology tissue sections, but to also attempt to predict risk of recurrence, predict disease aggressiveness and long term survival. At the Laboratory for Computational Imaging and Bioinformatics, our team has been developing a suite of image processing and computer vision tools, specifically designed to predict disease progression and response to therapy via the extraction and analysis of image-based “histological biomarkers” derived from digitized tissue biopsy specimens. These tools would serve as an attractive alternative to molecular based assays, which attempt to perform the same predictions. The fundamental hypotheses underlying our work are that: 1) the genomic expressions detected by molecular assays manifest as unique phenotypic alterations (i.e. histological biomarkers) visible in the tissue; 2) these histological biomarkers contain information necessary to predict disease progression and response to therapy; and 3) sophisticated computer vision algorithms are integral to the successful identification and extraction of these biomarkers. We have developed and applied these prognostic tools in the context of several different disease domains including ER+ breast cancer, prostate cancer, Her2+ breast cancer, ovarian cancer, and more recently medulloblastomas. For the purposes of this talk I will focus on our work in ER+ breast cancer and prostate cancer.
Speaker Profile:
Dr. Anant Madabhushi is the Director of the Center for Computational Imaging and Personalized Diagnostics (CCIPD) and a Professor in the Departments of Biomedical Engineering, Pathology, Radiology, Urology, General Medical Sciences, and Electrical Engineering and Computer Science at Case Western Reserve University. Dr. Madabhushi received his Bachelors Degree in Biomedical Engineering from Mumbai University, India in 1998 and his Masters in Biomedical Engineering from the University of Texas, Austin in 2000. In 2004 he obtained his PhD in Bioengineering from the University of Pennsylvania. He joined the Department of Biomedical Engineering, Rutgers University as an Assistant Professor in 2005. He was promoted to Associate Professor with Tenure in 2010. In 2012 he accepted the position of Associate Professor at Case Western Reserve University, Department of Biomedical Engineering andis currently directing a center on computational imaging and personalized diagnostics. He was promoted to full professor in 2014. Dr. Madabhushi has authored over 200 peer-reviewed publications in leading international journals and conferences. He has 7 issued patents with over 20 patents pending in the areas of medical image analysis, computer-aided diagnosis, and computer vision. He is an Associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Engineering Letters, BMC Cancer, and Medical Physics. He is also on the Editorial Board of the Journal Analytical and Cellular Pathology. He has been the recipient of a number of awards for both research as well as teaching, including the Department of Defense New Investigator Award in Lung Cancer (2014), the Coulter Phase 1 and Phase 2 Early Career award (2006, 2008), and the Excellence in Teaching Award (2007-2009), along with a number of technology commercialization awards. He is also a Wallace H. Coulter Fellow and a Senior IEEE member. His research work has received grant funding from the National Cancer Institute (NIH), National Science Foundation, the Department of Defense, private foundations, and from Industry. He is also the co-founder of Ibris Inc. a startup company focused on developing image based assays for breast cancer prognosis, and Elucid Bioimaging Inc., a Boston based startup focused on developing imaging technologies for predicting presence of vulnerable carotid plaque. He is also the conference chair for the new Digital Pathology Conference to be held annually in conjunction with the SPIE Medical Imaging Symposium.
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