Sysmex Corporation

Masayoshi Seike

Shigeki Iwanaga

Yasuhiro Kouchi

Hiroya Kirimura

Nobuyasu Hori

Takeo Saitou

Yukiharu Uraoka

Seigo Suzuki

Yoshihiko Tashima

Zheng Bin

The present invention is to present a diagnostic support apparatus for diabetes including a diagnostic support information generating unit which generates diagnostic support information of a patient based on a biological model for reproducing a pseudo-response which simulates a result of a glucose tolerance test for the patient. The biological model comprises a plurality of simulated organ blocks which are configured in such manner that inflow and outflow of glucose and/or inflow and outflow of insulin are reciprocally produced between each of the simulated organ blocks. The plurality of the simulated organ blocks respectively calculate at least one of a cumulative quantity and a concentration of glucose and/or at least one of a cumulative quantity and a concentration of insulin in the respective simulated organ blocks, based on a quantity of inflow and outflow of glucose and/or a quantity of inflow and outflow of insulin in the respective simulated organ blocks.

Diagnostic support apparatus for diabetes and computer program product

In order to provide a method of electrochemically detecting a target substance, a method of electrochemically detecting an analyte, and a detection set which have a theoretical advantage in the measurement sensitivity obtained by a conventional electrochemical detection method using a working electrode with a trapping substance immobilized, can reuse the working electrode, and can detect an analyte regardless of the size thereof, there is provided a method including: attracting the target substance containing a labeling substance in a liquid sample to a working electrode in which a trapping substance for trapping the target substance containing a labeling substance is not present; and electrochemically detecting the target substance containing a labeling substance.

Method for electrochemically detecting target substance, method for electrochemically detecting analyte, and detection set

A sample substance S is captured by a capture substancewhich is immobilized on a working electrode bodyto provide a method of electrochemically detecting a sample substance capable of detecting the sample substance with high sensitivity. A complex which includes, on a soluble carrier, a sample substance S and a labeled binderthat has a modified labeled substancecontaining a labeled substancebound to modified labeled substancecontaining a labeled substanceand a binderthat binds to the sample substance S, formed on the working electrode. The soluble carrieris dissolved, and the modified labeled substanceis attracted to the working electrode

Method of electrochemically detecting a sample substance

A treatment effect prediction system, comprising: a processor; and a memory, under control of the processor, including instructions enabling the processor to carry out operations comprising: determining a patient pathological condition information, which represents a feature of pathological condition of a patient, based on diagnostic data of the patient; accessing a database of stored pathological condition information and corresponding treatment effects occurring when predetermined treatment is provided; and retrieving, from the database, a specific treatment effect corresponding to the one of the stored pathological condition information that is similar to the patient pathological condition information, is disclosed. A treatment effect prediction method and a computer program product thereof are also disclosed.

Treatment effect prediction system, a treatment effect prediction method, and a computer program product thereof

A simulation system for simulating a function of a biological organ using a biological model in which the function of the biological organ are represented by a mathematical model with a computer is provided. The present system receives input of time-series actual measurement data representing the biological response of a subject, estimates the biological response of the subject at a time point at which the measurement is not performed by using the input time-series actual measurement data, and generates time-series reference data representing the biological response of the subject. The present system further generates a virtual biological organ virtually constructed in a computer system using the times-series reference data. The virtual biological organ corresponds to the function of a biological organ of the subject.

Growing community of inventors

Kobe, Japan

Masayoshi Seike