Machine Learning Aids Brain Tsunami Detection
This is a UC news story, published by ScienceDaily, that relates primarily to Sreekar Puchala news.
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Machine learning aids in detection of 'brain tsunamis'

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Machine learning aids in detection of 'brain tsunamis' sometimes referred to as a "brain tsunami" University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity.
During SD, brain cells become depolarized and unable to send electrical signals, which turns brain cells into a "big bag of saltwater".
Study coauthors include UC 's Sreekar Puchala and Anca Ralescu and Ethan Muchnik of the University of Oregon .
The team is conducting clinical trials like the INDICT trial to determine optimal treatments for SDs.
Having a more precise detection method coupled with better tools to treat SDs could have a significant impact on patient care.
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