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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 ( In conclusion, DILI cannot be eliminated as an adverse drug reaction, and our ultimate goal is to minimize its impact on clinical outcomes, and patient health

The Tableau dashboard features a diagram following the Interactive REFerence Flow (I-REFF) approach to enhance the transparency and traceability of literature review results, study quality evaluation heatmaps with detailed rationales for confidence scores for epidemiologic and animal toxicological studies, and evidence maps for all study types (epidemiologic, animal toxicological, and mechanistic)

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