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Table S7)

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In addition to assessment methods such as the Roussel Uclaf Causality Assessment Method (RUCAM) ( in vitro prediction models with high accuracy are available, generalizing the characteristics of DILI in a single in vitro model and using it for screening and disease prediction is difficult due to the individual variability of DILI ( AI research, which takes advantage of big data and machine learning, is a relatively new method for diagnosing and predicting DILI, which can help identify new drugs under development with hepatotoxicity to reduce drug development costs in the early stage ( in vitro experiments (Youhao et al., 2022)