An example method of treating a subject having a tumor is described herein. The method can include determining a radiosensitivity index of the tumor, deriving a subject-specific variable based on the radiosensitivity index, and obtaining a genomic adjusted radiation dose effect value for the tumor. The radiosensitivity index can be assigned from expression levels of signature genes of a cell of the tumor. Additionally, the genomic adjusted radiation dose effect value can be predictive of tumor recurrence in the subject after treatment. The method can also include determining a radiation dose based on the subject-specific variable and the genomic adjusted radiation dose effect value.

An example method of treating a subject having a tumor is described herein. The method can include determining a radiosensitivity index of the tumor, deriving a subject-specific variable based on the radiosensitivity index, and obtaining a genomic adjusted radiation dose effect value for the tumor. The radiosensitivity index can be assigned from expression levels of signature genes of a cell of the tumor. Additionally, the genomic adjusted radiation dose effect value can be predictive of tumor recurrence in the subject after treatment. The method can also include determining a radiation dose based on the subject-specific variable and the genomic adjusted radiation dose effect value.

An information processing system includes: a sample data acquisition unit that acquires, for each sample, sample data in which a first cluster and a second cluster are associated with each other, the first cluster including a plurality of sets of a biological element detected from the sample and a biological element quantity indicating a quantity of the biological element, the second cluster including a plurality of sets of a morpheme regarding text describing an environment in which the sample is present and an appearance frequency of the morpheme; and a generation unit that analyzes a plurality of pieces of the sample data with the biological element quantity and the appearance frequency as parameters and generates information indicating a relationship between the environment and the first cluster.

An information processing system includes: a sample data acquisition unit that acquires, for each sample, sample data in which a first cluster and a second cluster are associated with each other, the first cluster including a plurality of sets of a biological element detected from the sample and a biological element quantity indicating a quantity of the biological element, the second cluster including a plurality of sets of a morpheme regarding text describing an environment in which the sample is present and an appearance frequency of the morpheme; and a generation unit that analyzes a plurality of pieces of the sample data with the biological element quantity and the appearance frequency as parameters and generates information indicating a relationship between the environment and the first cluster.

There is provided a technology that supports selection of a label to be used for analysis of target molecules. The present technology provides a label selection support system including an information acquisition unit that obtains, via a network, information associated with a plurality of target molecules to be analyzed, an information processor that obtains, using the information associated with a plurality of target molecules, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules and generates support information associated with assignment of a label to each of the plurality of target molecules on the basis of the expression information, and a transmitter that transmits the generated support information via the network.

There is provided a technology that supports selection of a label to be used for analysis of target molecules. The present technology provides a label selection support system including an information acquisition unit that obtains, via a network, information associated with a plurality of target molecules to be analyzed, an information processor that obtains, using the information associated with a plurality of target molecules, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules and generates support information associated with assignment of a label to each of the plurality of target molecules on the basis of the expression information, and a transmitter that transmits the generated support information via the network.

Products, systems, and methods for classifying human colorectal cancer into a consensus molecular subtype (CMS) and for assessing risk of recurrence based on CMS scores and based on risk scores derived from abbreviated gene expression profiles, for determining suitable treatment protocols for human colorectal cancer patients based on the determined CMS classification and based on the determined risk of recurrence, and for administering the suitable treatment protocols.

Products, systems, and methods for classifying human colorectal cancer into a consensus molecular subtype (CMS) and for assessing risk of recurrence based on CMS scores and based on risk scores derived from abbreviated gene expression profiles, for determining suitable treatment protocols for human colorectal cancer patients based on the determined CMS classification and based on the determined risk of recurrence, and for administering the suitable treatment protocols.

A biomarker diagnostic system includes a sensor to collect a sweat sample from a biological subject; a processor operatively connected to the sensor, wherein the processor is configured to perform metabolic and proteomic profiling of biomarkers in the sweat sample. The metabolic and proteomic profile is compared to a predetermined profile of the biomarkers and to determine a physiological status of the biomarkers. The system further includes a feedback unit operatively coupled to the sensor and the processor and configured to output physiological performance data based on the physiological status.

A biomarker diagnostic system includes a sensor to collect a sweat sample from a biological subject; a processor operatively connected to the sensor, wherein the processor is configured to perform metabolic and proteomic profiling of biomarkers in the sweat sample. The metabolic and proteomic profile is compared to a predetermined profile of the biomarkers and to determine a physiological status of the biomarkers. The system further includes a feedback unit operatively coupled to the sensor and the processor and configured to output physiological performance data based on the physiological status.