Abstract
Dose assessment is essential for understanding the mechanisms triggering nanomaterial toxicity in vitro and for meaningful translations to in vivo. We propose a novel computational approach for improving the accuracy of biological dose-response characterization, demonstrating its robustness for insoluble Engineered Nanomaterials (ENMs).
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