Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation exposures by combining radiation-responsive biomarkers

HIGHLIGHTS

  • who: Igor Shuryak from the Center for Radiological Columbia University have published the paper: Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation exposures by combining radiation-responsive biomarkers, in the Journal: Scientific Reports Scientific Reports
  • what: The rationale for this approach was that in a hypothetical realistic situation where samples with unknown exposures are analyzed, both models will be used and predictions for both Dose and Interaction will be generated for each sample. The aim of this study was to investigate the usefulness of radiation responsive protein biomarkers, in combination . . .

     

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