The November 2024 special issue of “Applied Sciences” recently published an artificial intelligence (AI) study co-authored by ORISE Cytogenetic Biodosimetry Laboratory Director Dr. Adayabalam Balajee (pictured). The article, titled “Neural Network Ensemble to Detect Dicentric Chromosomes in Metaphase Images,” examines how AI-based tools can advance the field of radiation biodosimetry by improving the accuracy of absorbed dose estimation and by facilitating the development of predictive modeling for radiation induced short- and long-term health effects in humans.
ORISE Cytogenetic Biodosimetry Laboratory Director Dr. Adayabalam Balajee (image source: ORISE).
May 13, 2025 | Originally published by Oak Ridge Institute for Science and Education (ORISE) on January 20, 2025
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