Abstract: An image pickup apparatus and recording method that can further improve ease-of-use for the user creates directories according to shooting situations selected from multiple predetermined types of shooting situations, assigns image data produced as a result of photographing a subject to the directories according to the selected shooting situations, attaches identification information to the image data according to the selected shooting situations, and stores the image data to which the identification information is attached, together with an application program of one or more specified applications, so as to associate the image data with the applications.

Abstract: Based on drug sensitivity data and extensive gene expression data, a model was constructed by multivariate analysis with the partial least squares method type 1. Further, the model was optimized using modeling power and genetic algorithm. Thereby, the degree of contribution of the respective genes to drug sensitivity was determined to select genes with a high degree of contribution. In addition, the levels of gene expression in specimens were analyzed, and then the drug sensitivity was predicted based on the model. The predicted values agreed well with those drug sensitivity values determined experimentally. The drug sensitivity-predicting method provided by the present invention enables assessment of the effectiveness of a drug prior to administration using small quantities of specimens associated with diseases such as cancer. Since this enables the selection of the most suitable drug for each patient, the present invention is very useful in improving a patient's quality of life (QOL).