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Safdie FM, Dorff T, Quinn D, Fontana L, Wei M, Lee C,
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
GHK-Cu: a promising peptide for skin health and aging
Long-term controlled safety data are absent
John Valby
