A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays

A large-scale malicious or accidental radiological event can expose vast numbers of people to ionizing radiation. The dicentric chromosome (DCA) and cytokinesis-block micronucleus (CBMN) assays are well-established biodosimetry methods for estimating individual absorbed doses after radiation exposur...

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Detalles Bibliográficos
Autores principales: Shuryak, Igor, Royba, Ekaterina, Repin, Mikhail, Turner, Helen C., Garty, Guy, Deoli, Naresh, Brenner, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726929/
https://www.ncbi.nlm.nih.gov/pubmed/36473912
http://dx.doi.org/10.1038/s41598-022-25453-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726929/
https://www.ncbi.nlm.nih.gov/pubmed/36473912
http://dx.doi.org/10.1038/s41598-022-25453-2

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