Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposures

Abstract We implemented machine learning in the radiation biodosimetry field to quantitatively reconstruct neutron doses in mixed neutron + photon exposures, which are expected in improvised nuclear device detonations. Such individualized reconstructions are crucial for triage and treatment because...

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Bibliographic Details
Main Authors: Igor Shuryak, Helen C. Turner, Monica Pujol-Canadell, Jay R. Perrier, Guy Garty, David J. Brenner
Format: Article
Language:English
Published: Nature Portfolio 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-83575-5