High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains
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The primary objective of this study is to develop and validate robust data-driven models for accurately predicting bacterial growth inhibition induced by cerium oxide nanoparticles across different bacterial strains and experimental conditions. This study aims... ...
