Department of Biomedical Informatics Announces a Special Lecture presented by Anant Madabhushi, Ph.D.

University of Pittsburgh School of Medicine
Department of Biomedical Informatics
Special Lecture Announcements

Friday, May 1, 2015

11:00 AM

407A BAUM, 5607 Baum Blvd.

Title: Sub-visual image mining and computer assisted prognosis of cancers

Anant Madabhushi, Ph.D.

Director, Center for Computational Imaging and Personalized Diagnostics (CCIPD)

Department of Biomedical Engineering

Case Western Reserve University

Abstract:  Traditional biology generally looks at only a few aspects of an organism at a time and attempts to molecularly dissect diseases and study them part by part with the hope that the sum of knowledge of parts would help explain the operation of the whole. Rarely has this been a successful strategy to understand the causes and cures for complex diseases. The motivation for a systems based approach to disease understanding aims to understand how large numbers of interrelated health variables, gene expression profiling, its cellular architecture and microenvironment, as seen in its histological image features, its 3 dimensional tissue architecture and vascularization, as seen in dynamic contrast enhanced (DCE) MRI, and its metabolic features, as seen by Magnetic Resonance Spectroscopy (MRS) or Positron Emission Tomography (PET), result in emergence of definable phenotypes. At the Center for Computational Imaging and Personalized Diagnostics at Case Western Reserve University, we have been developing computerized knowledge alignment, representation, and fusion tools for integrating and correlating heterogeneous biological data spanning different spatial and temporal scales, modalities, and functionalities. The long term research objectives are to explore via efficient computational and pattern recognition methods, the existence and correspondence of biological patterns across heterogeneous data scales and modalities. An understanding of the interplays of different hierarchies of biological information from proteins, tissue, metabolites, and imaging will provide conceptual insights and practical innovations that will profoundly transform people’s lives.

 

Post Date: 
Wednesday, April 29, 2015
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