ArticleScientific reports2022
A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Deep learning and object detection methods for scoring cell types within the human buccal cell micronucleus and cytome assays for human biomonitoring.Mutagenesis · 2026Review
- Microarray-Based Genomic Profiling in Low-Dose Radiation Research: Evidence, Limitations, and Translational Perspectives.International journal of molecular sciences · 2026Review
- Review
- Effects of Ionizing Radiation on DNA Methylation Patterns and Their Potential as Biomarkers.International journal of molecular sciences · 2025Review
- Optimizing chromosome dispersion quality: the key role of cell density.Frontiers in cell and developmental biology · 2025Article
- Intracellular lymphocyte protein biomarkers for early radiological triage in the human population.PloS one · 2025Article
- Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 mice.Scientific reports · 2024Article
- Multiwell-based G0-PCC assay for radiation biodosimetry.Scientific reports · 2024Article
- RABiT-III: an Automated Micronucleus Assay at a Non-Specialized Biodosimetry Facility.Radiation research · 2024Article
- Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects.Diagnostics (Basel, Switzerland) · 2023Article
- Biomarker integration for improved biodosimetry of mixed neutron + photon exposures.Scientific reports · 2023Article
- High Resolution and Automatable Cytogenetic Biodosimetry Using In Situ Telomere and Centromere Hybridization for the Accurate Detection of DNA Damage: An Overview.International journal of molecular sciences · 2023Review
- Assessment of Micronuclei Frequency in the Peripheral Blood of Adult and Pediatric Patients Receiving Fractionated Total Body Irradiation.Cytogenetic and genome research · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
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-established biodosimetry methods for estimating individual absorbed doses after radiation exposure. Here we used machine learning (ML) to test the hypothesis that combining automated DCA and CBMN assays will improve dose reconstruction accuracy, compared with using either cytogenetic assay alone. We analyzed 1349 blood sample aliquots from 155 donors of different ages (3-69 years) and sexes (49.1% males), ex vivo irradiated with 0-8 Gy at dose rates from 0.08 Gy/day to ≥ 600 Gy/s. We compared the performances of several state-of-the-art ensemble ML methods and found that random forest generated the best results, with R
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