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Keywords
Neurology, Machine Learning, Medicine, Cancer, Brain
Abstract
CAR T cell therapy was first proven effective in 20131 for the treatment of certain cancer s . However, its widespread adoption is still hindered by side effects like immune effector cell associated neurotoxicity syndrome (ICANS). Current research aims to better predict, diagnose, and treat ICANS so that CAR T cell therapy can be more widely applied. Although prior studies have attempted to identify an objective biomarker of ICANS2 , current practice relies on clinical assessment to diagnose ICANS. We hypothesize that qualitative features of the EEG may be utilized to develop a physiological grading system of the severity of ICANS.
BYU ScholarsArchive Citation
Jones, Daniel; Eckhardt, Christine; Sun, Haoqi; Tesh, Ryan; and Westover, Brandon, "EEG as Successful Diagnostic Tool for Immune Effector Cell Associated Neurotoxicity Syndrome" (2022). Library/Life Sciences Undergraduate Poster Competition 2022. 55.
https://scholarsarchive.byu.edu/library_studentposters_2022/55
Document Type
Poster
Publication Date
2022-3
Language
English
College
Life Sciences
Department
Computer Science
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