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These models, which use laboratory toxicity data, were developed to predict the impact of oil constituents on standard or non-standard species (e.g., Interspecies Correlation Estimation or ICE models) or to estimate concentrations that are protective for 95% of the organisms (e.g., preparing species sensitivity distributions [SSDs] using CAFE)

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Now, researchers at the University of Pennsylvania say artificial intelligence may also help uncover side effects that patients are discussing online but that are not always fully reflected in clinical trials or official drug documentation

When combined, these peptides are frequently explored in advanced in-vitro and biochemical model systems to better understand coordinated peptide signaling, multi-pathway cellular regulation, and molecular interactions related to tissue-associated research models

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