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There is a growing interest in using computational approaches to predict drug-induced liver injury (DILI.) However, these methods fail to adequately consider detailed aspects of interspecies differences in drug pharmacological behavior, gene dysregulation due to the drugs, accurate drug chemistry, and integration of specific liver toxicity pathways. In this case study, VeriSIM Life performed research aimed to solve these problems by leveraging knowledge-AI hybrid technology (hybrid AI) to provide robust solutions even in severely data-limited scenarios. Read more: bit.ly/3Uj7q3z

VeriSIM Complex Organ Toxicity: Hybrid AI Provides Superior Prediction Accuracy with Very Limited Data │ Drug Discovery & Development Technology

VeriSIM Complex Organ Toxicity: Hybrid AI Provides Superior Prediction Accuracy with Very Limited Data │ Drug Discovery & Development Technology

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