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Coulter BME Seminar Series: Zachary Danziger, Ph.D.

Topic: Hybrid Modeling Techniques for Neurorehabilitation: Applications in the Brain and Bladder

1:00PM - 2:00PM

Pizza at 12:30pm in HSRB II, N100 before the seminar.  In-Person at Emory University HSRB II, N100Virtual Meeting through Zoom

https://zoom.us/j/97421219805?pwd=b2ZUZElTQ044anlVbFRib2VIQk1IQT09

Join our Cloud HD Video MeetingZoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board, conference, huddle, and training rooms, as well as executive offices and classrooms. Founded in 2011, Zoom helps businesses and organizations bring their teams together in a frictionless environment to get more done. Zoom is a publicly traded company headquartered in San Jose, CA.zoom.us Meeting ID: 974 2121 9805Passcode: 556677Dial by your location+1 470 381 2552 US (Atlanta)  Speaker: Zachary Danziger, PhD Seminar title: Hybrid Modeling Techniques for Neurorehabilitation: Applications in the Brain and Bladder Seminar abstract:A model is a simplified representation of a system that is too complex or costly to study in its own right, and we rely on models to make progress on many of the most difficult biomedical challenges. This talk explores how we can use artificial intelligence (AI) to augment models to understand biomedical systems at a level that would not be possible with either AI or traditional models alone. We will cover two novel examples of the hybrid modeling approach. The first is invasive brain-computer interfaces, where data are scarce because studies involving brain-implanted electrodes are difficult and risky. Here we use people interacting with AI non-invasively to model and optimize brain-computer interface design. The second is neural control of lower urinary tract, where predictive simulations about treatment and disease are nearly impossible because of our incomplete knowledge of the system. Here we use systems of differential equations to represent known biophysics and use AI to learn the missing equations to create a robust simulation. This hybrid modeling philosophy may open new frontiers of discovery in the biomedical sciences. Bio:Zachary Danziger is an Associate Professor at Emory University in the Department of Rehabilitation Medicine – Division of Physical Therapy and the W.H. Coulter Department of Biomedical Engineering. His research focuses on understanding how the nervous system controls the body and on developing quantitative models that facilitate design and optimization of neural interfaces to enhance or restore movement and control. He also works in biomedical ethics to improve and establish standards of scientific conduct.