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PHYSICOCHEMICAL FEATURE-DRIVEN NANOTOXICITY PREDICTION USING SUPERVISED MACHINE LEARNING ALGORITHMS
Journal: International Journal of Advanced Research (Vol.13, No. 05)Publication Date: 2025-05-20
Authors : Mohammad Hadi Minakhani Soroush Taji Pooneh Pishkar Bardia Vakili; Pouya Pishkar;
Page : 808-819
Keywords : ;
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Find it from : Google Scholar
Abstract
The widespread use of metal oxide nanoparticles across various industries has raised significant concerns regarding their potential toxicity. Conventional toxicological assessment methods remain time-intensive, costly, and limited in scalability.
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Last modified: 2025-06-17 16:06:44