Machine Learning-Driven Dose Estimation In Biodosimetry: An Alternative to Calibration Curves In Low Dose-Protracted Exposure Scenarios
To determine whether a supervised machine learning (SML) approach to low-dose biodosimetry, trained on radiation-induced chromosomal translocations of astronauts and individual radiation response covariates, could be an alternative method for dose estimation.
Poster Program · Diagnostic and Interventional Radiology Physics