Northwestern Events Calendar

Dec
9
2019

CTI-TPMRI Seminar: Big Data in Biomedicine with Dr. Gurong Wu

When: Monday, December 9, 2019
12:00 PM - 1:00 PM CT

Where: Prentice Women's Hospital, Conference Room L North, 250 E. Superior, Chicago, IL 60611 map it

Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Cost: Free.

Contact: Abby Hagler  

Group: Department of Radiology

Category: Academic, Lectures & Meetings

Description:

Join Dr. Gurong Wu, Assistant Professor of Psychiatry at the University of North Carolina-Chapel Hill, for a seminar on computational medicine.

 

Description:

The human brain is something of an enigma. Much is known about its physical structures, but quite how our brain manages to marshal its myriad components into a powerhouse capable of performing so many different tasks remains a mystery. We are now in the era of big data which allows us to answer the biomedical questions today that we couldn’t answer before. As a computer scientist, this is the most exciting time in my entire career. In the last ten years, I have been collaborating with neurology, neuroscience, genetics, and imaging experts to understand the pathophysiological mechanism of Alzheimer’s disease (AD) and how AD-related genes affect the aging brains. Specifically, my lab is interested in establishing a neurobiological basis to quantify the structural/functional/behavior difference across individuals and discover reliable and putative biomarkers that will allow us to come up with personalized therapy and treatment for individuals. In this talk, I would like to share my experience of integrating the domain knowledge of neuroscience into the development of imaging-AI based computational tools for automated image analysis, image interpretation, and outcome prediction, with the focus on imaging biomarkers and the computer-assisted early diagnostic engine for AD. At the end of this talk, I will demonstrate the preliminary results of a recent research project where we aim to understand the selective mechanism of network vulnerability and resilience in AD using the state-of-the-art network analyses approaches across neuroimaging and genetics data.

*Lunch provided

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