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  1. Article

    Open Access

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

    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 (P...

    Igor Shuryak, Leah Nemzow, Bezalel A. Bacon, Maria Taveras in Scientific Reports (2023)

  2. Article

    Open Access

    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-establ...

    Igor Shuryak, Ekaterina Royba, Mikhail Repin, Helen C. Turner in Scientific Reports (2022)

  3. Article

    Open Access

    Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposures

    We implemented machine learning in the radiation biodosimetry field to quantitatively reconstruct neutron doses in mixed neutron + photon exposures, which are expected in improvised nuclear device detonations....

    Igor Shuryak, Helen C. Turner, Monica Pujol-Canadell, Jay R. Perrier in Scientific Reports (2021)

  4. Article

    Open Access

    VADER: a variable dose-rate external 137Cs irradiator for internal emitter and low dose rate studies

    In the long term, 137Cs is probably the most biologically important agent released in many accidental (or malicious) radiation disasters. It can enter the food chain, and be consumed, or, if present in the enviro...

    Guy Garty, Yan** Xu, Gary W. Johnson, Lubomir B. Smilenov in Scientific Reports (2020)

  5. Article

    Open Access

    Development of the FAST-DOSE assay system for high-throughput biodosimetry and radiation triage

    Following a large-scale radiological incident, there is a need for FDA-approved biodosimetry devices and biomarkers with the ability to rapidly determine past radiation exposure with sufficient accuracy for ea...

    Qi Wang, Younghyun Lee, Igor Shuryak, Monica Pujol Canadell in Scientific Reports (2020)

  6. Article

    Open Access

    A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis

    Biodosimetry-based individualized reconstruction of complex irradiation scenarios (partial-body shielding and/or neutron + photon mixtures) can improve treatment decisions after mass-casualty radiation-related...

    Igor Shuryak, Helen C. Turner, Jay R. Perrier, Lydia Cunha in Scientific Reports (2020)

  7. Article

    Open Access

    Candidate protein markers for radiation biodosimetry in the hematopoietically humanized mouse model

    After a radiological incident, there is an urgent need for fast and reliable bioassays to identify radiation-exposed individuals within the first week post exposure. This study aimed to identify candidate radi...

    Younghyun Lee, Monica Pujol Canadell, Igor Shuryak, Jay R. Perrier in Scientific Reports (2018)