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BME Seminar: Dennis Barbour, MD, PhD

This is a past event.

Thursday, September 29, 2022 10 AM to 11 AM

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About this Event

Uncas A. Whitaker Hall, 218

6760 Forest Park Pkwy, St. Louis, MO 63105, USA

#WashUBME

Presenting on “Predicting the Present to Forecast the Future: An Updated Modeling Framework for Perception, Cognition and Medicine”

Dennis Barbour, MD, PhD, Associate Professor in Biomedical Engineering at Washington University, will speak on Thursday, September 29, 2022 at 10:00 am CST in Whitaker 218.

Abstract: The key modeling framework for both evidence-based medicine and precision medicine hinges upon the etiological diagnosis. This framework has limited predictive value in the face of population heterogeneity. For example, a diagnosis of Covid-19 infection does not by itself yield a very accurate prognosis in unvaccinated individuals. Starting with findings from neuroscience studies in my lab, I will lay the groundwork for inference methods that retain predictive value in the face of population variation, yet also are designed to work as well as current methods in more nearly homogenous populations. I will describe applications of this framework toward tests of perception and cognition, discuss generalizations to other medical applications, and describe how these procedures are equitable by design in order to better accommodate outliers, minorities and individuals suffering rare diseases.

Event Details

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology Medicine & Health

Department

Biomedical Engineering

Hashtag

#WashUBME

Event Contact

Mimi Hilburg | mhilburg@wustl.edu

Speaker Information

Dennis Barbour is a biomedical engineering professor and neuroengineering researcher in the McKelvey School of Engineering at Washington University in St. Louis. His work has centered on understanding how sounds are encoded in the auditory system and, more recently, how advanced machine learning algorithms can be leveraged to substantially improve the diagnosis of perceptual and cognitive disorders. This work is advancing the ability of precision medicine to target individual patients for custom interventions rather than treating them the same as the rest of the cohort sharing their diagnosis. Such approaches have great potential for improving outcomes under conditions of substantial patient variability. Recently, these ideas have garnered attention in the education field. “Precision education” promotes algorithmic optimization of learning opportunities for individual students.

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  • Linda Van Dillen
  • Noah Bryson
  • Avery Twyman
  • John Zempel

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Dial-In Information

Registration is required to attend virtually. Please register.

About this Event

Uncas A. Whitaker Hall, 218

6760 Forest Park Pkwy, St. Louis, MO 63105, USA

#WashUBME

Presenting on “Predicting the Present to Forecast the Future: An Updated Modeling Framework for Perception, Cognition and Medicine”

Dennis Barbour, MD, PhD, Associate Professor in Biomedical Engineering at Washington University, will speak on Thursday, September 29, 2022 at 10:00 am CST in Whitaker 218.

Abstract: The key modeling framework for both evidence-based medicine and precision medicine hinges upon the etiological diagnosis. This framework has limited predictive value in the face of population heterogeneity. For example, a diagnosis of Covid-19 infection does not by itself yield a very accurate prognosis in unvaccinated individuals. Starting with findings from neuroscience studies in my lab, I will lay the groundwork for inference methods that retain predictive value in the face of population variation, yet also are designed to work as well as current methods in more nearly homogenous populations. I will describe applications of this framework toward tests of perception and cognition, discuss generalizations to other medical applications, and describe how these procedures are equitable by design in order to better accommodate outliers, minorities and individuals suffering rare diseases.