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Gupta, R., Bhandari, M., Grover, A., Al-shehari, T., Kadrie, M., Alfakih, T., et al. (2024) Predictive Modeling of ALS Progression: An XGBoost Approach Using Clinical Features. BioData Mining, 17, Article No. 54.
https://doi.org/10.1186/s13040-024-00399-5

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• TITLE: Advancement in Biodosimetry Techniques and Their Growing Role in Nuclear Medicine

  AUTHORS: Md. Ziaur Rahman, Safaiatul Islam, Abu Hena Mostofa Kamal, A. Y. K. Md. Masud Rana, Protul Kumar Roy

  KEYWORDS: Radiation, Chromosomal Aberrations, Biomarkers, Biodosimetry, Nuclear Medicine

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.13 No.7, July 7, 2025

  ABSTRACT: Biodosimetry, a technique for estimating radiation doses by assessing chromosomal aberrations in both accidental and occupational exposures, has played a crucial role in radiological protection, clinical contexts, and monitoring exposed populations. Recent advancements in biodosimetry aim to enhance accuracy, sensitivity, and clinical applicability. These innovations contain novel biomarkers (e.g., metabolomic, exosomal, and proteomic markers) for detecting radiation-induced DNA damage. Additionally, progress in high-throughput technologies and automated scoring systems facilitates quicker and more efficient chromosomal aberration analysis, rendering biodosimetry suitable for extensive studies. This review provides an overview of recent biodosimetry developments and their application in radiation emergencies and clinical practices, especially in nuclear medicine.