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Artificial intelligence model for predicting the effects of test substances in humans

机译:预测待测物质对人体影响的人工智能模型

摘要

[PROBLEMS] To efficiently predict the effects and side effects of a test substance in humans. A group of data indicating the behavior of biomarkers in a plurality of different organs collected for each non-human animal from a non-human animal individually administered with a plurality of existing substances whose actions in humans are known, and the existing The human action of the test substance is determined from the behavior of biomarkers in multiple organs of a non-human animal to which the test substance is administered, including training of artificial intelligence using known actions in humans for each substance as training data. Provide artificial intelligence trained in the training method of artificial intelligence model to predict. [Selection] Figure 1
机译:[问题]有效地预测一种测试物质对人类的影响和副作用。一组数据,指示从每个非人类动物收集的,针对每个非人类动物的多个不同器官中的生物标志物的行为,该非人类动物分别服用了多种已知的对人体有作用的现有物质,并且存在根据受试物质所管理的非人类动物的多个器官中生物标志物的行为来确定被测物质,包括使用人类已知的每种物质的作用作为训练数据对人工智能进行训练。提供训练有素的人工智能模型的训练方法进行预测。 [选择]图1

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