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London: CABI

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proposed to replace the traditional nano-QSAR model with an approach called StructureActivity Prediction Networks (SAPNets), claiming it can effectively link NP structure with their toxicity through a series of layers built from nodes that correspond to predictive meta-models developed with machine learning techniques as well as Artificial Intelligence (Rybinska-Fryca et al., 2020)

When testosterone binds to androgen receptors, it influences the expression of certain genes involved in sexual behavior, effectively priming the brain for sexual activity"

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