A method for training an artificial intelligence model includes training the artificial intelligence model by inputting into the artificial intelligence model a first training data group and either second training data or a second training data group, wherein the first training data group is configured from a group of data indicating behavior of a biomarker in each of one or a plurality of different organs, the one or plurality of different organs being harvested from non-human animals to which a plurality of existing substances having known effects on humans have been individually administered, and the second training data are configured from information relating to known effects on humans, acquired for each of the plurality of known substances administered to the non-human animals, and wherein the artificial intelligence model predicts one or a plurality of effects of a test substance on humans, from a group of data indicating the behavior of a biomarker in one or plurality of organs corresponding to the organs harvested when the first training data group is generated, said harvested organs being one or more different organs of non-human animals to which the test substance has been administered, and the artificial intelligence model predicts effects, such as effectiveness and side effects, of the test substance on humans using the artificial intelligence model that has been trained using the training method.
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