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

Hosted by the Department of Biomedical Engineering

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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.

Full schedule, BME Seminars

For inquries contact Mimi Hilburg.