Predicting shock-induced cavitation using machine learning: implications for blast-injury models

Predicting shock-induced cavitation using machine learning: implications for blast-injury models

While cavitation has been suspected as a mechanism of blast-induced traumatic brain injury (bTBI) for a number of years, this phenomenon remains difficult to study due to the current inability to measure cavitation in vivo. Therefore, numerical simulations are often implemented to study cavitation i...

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Bibliographic Details
Main Authors:	Jenny L. Marsh, Laura Zinnel, Sarah A. Bentil
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Bioengineering and Biotechnology
Subjects:	machine learning cavitation support vector machines k-nearest neighbors traumatic brain injury shock tube
Online Access:	https://www.frontiersin.org/articles/10.3389/fbioe.2024.1268314/full

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