Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation expo...
Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation exposures by combining radiation-responsive biomarkers
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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During a large-scale radiological event such as an improvised nuclear device detonation, many survivors will be shielded from radiation by environmental objects, and experience only partial-body irradiation (PBI), which has different consequences, compared with total-body irradiation (TBI). In this study, we tested the hypothesis that applying mach...
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Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation exposures by combining radiation-responsive biomarkers
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TN_cdi_doaj_primary_oai_doaj_org_article_132213d2e1ce4c8a8ca0f85f20fbfa9b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_132213d2e1ce4c8a8ca0f85f20fbfa9b
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-28130-0
