Novel Developments in Radiation Exposure Detection using Biomarkers

The future of biological dosimetry holds immense potential with the advancement of automation and artificial intelligence (AI) technologies. These advancements have the potential to greatly improve the accuracy and efficiency of assessing outcomes from radiation exposure. By automating the process of data collection and analysis, the potential for human error is significantly reduced, allowing for more reliable and consistent results. Furthermore, the integration of AI technologies can provide real-time monitoring and prediction of radiation exposure, allowing for immediate intervention in case of overexposure. These developments not only enhance the precision of biological dosimetry but also improve the overall safety and well-being of individuals in radiation-related industries. Our results will have implications for diagnostic triage to support medical management of radiation exposures and input for medical, environmental, and occupational impact.