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• W2079676258 abstract "Current preclinical safety evaluation programs use a combination of computational methods, mechanistic in vitro screening and - primarily - in vivo experimentation to predict human toxicity. The rapid transition of pharmaceutical R&D into electronic R&D (e-R&D) makes it imperative that predictive safety testing also develops into an information-rich, knowledge-based process in the near future. Accordingly, enhanced databases and computational tools are expected to change the way the pharmaceutical industry assesses drug toxicity during discovery and early development. Expert use of prediction tools should lead to lower failure rates in drug development and decrease the cost and time involved in successful drug approval." @default.
• W2079676258 created "2016-06-24" @default.
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• W2079676258 date "2000-10-01" @default.
• W2079676258 modified "2023-09-29" @default.
• W2079676258 title "Predicting human safety: screening and computational approaches" @default.
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• W2079676258 doi "https://doi.org/10.1016/s1359-6446(00)01559-2" @default.
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