Hideki Wanibuchi

This paper develops and validates an optimized A549-NRU assay for predicting acute inhalation toxicity in rats, showing strong correlation with in vivo LC50 values.

This paper constructs a 3D urinary bladder mucosa model and uses it to assess the toxicity of arsenicals, showing dose-dependent cytotoxic effects and potential carcinogenic mechanisms.

This paper develops a support vector machine-based model to predict genotoxic hepatocarcinogens in rats using gene expression data from a single dose and day of exposure.