Biological response prediction system, method for predicting biological response and computer program product

• US 20070287144A1
• Filed: 05/24/2007
• Published: 12/13/2007
• Est. Priority Date: 05/24/2006
• Status: Abandoned Application

• Current Assignee: Sysmex Corporation
• Original Assignee: Sysmex Corporation
• Inventors: Kouchi, Yasuhiro, Saitou, Takeo, Seike, Masayoshi
• Application Number:
  US11/805,825
• Publication Number:
  US 20070287144A1
• Time in Patent Office: Days
• US Class Current: 435/4
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A biological response prediction system for predicting the biological response receives the input of the actual measurement data of a subject, and generates virtual biological organ virtually constructed in a computer system using the input actual measurement data, the virtual biological organ corresponding to a function of a biological organ of the subject. The system further acquires the virtual biological response indicated by the virtual biological organ when input is provided to the generated virtual biological organ, and outputs the acquired virtual biological response.

Claims

1. A biological response prediction system comprising:

input means for receiving actual measurement data of a subject;

virtual biological organ generating means for generating a virtual biological organ virtually constructed in a computer system using the input actual measurement data, the virtual biological organ corresponding to a function of a biological organ of the subject;

virtual biological response acquiring means for acquiring a virtual biological response indicated by the virtual biological organ when input is provided to the generated virtual biological organ; and

output means for outputting the acquired virtual biological response.

2. The biological response prediction system according to claim 1, further comprising:

input value setting means for setting an input value to the virtual biological organ;

wherein

the virtual biological response acquiring means is configured to acquire the virtual biological response of the virtual biological organ to which the input value set by the input value setting means is provided.

3. The biological response prediction system according to claim 1, further comprising:

acquiring time period setting means for setting a time period to acquire the virtual biological response of the virtual biological organ;

wherein

the virtual biological response acquiring means is configured to acquire the virtual biological response indicated by the virtual biological organ in the time period set by the acquiring time period setting means.

4. The biological response prediction system according to claim 1, wherein

the virtual biological organ includes a block indicating the function of the biological organ associated with metabolism of glucose and/or insulin;

and

the virtual biological response acquiring means is configured to compute the virtual biological response using the virtual biological organ based on the input value of the block.

5. The biological response prediction system according to claim 1, further comprising:

a memory for storing a mathematical model that comprises a plurality of parameters and represents a function of a biological organ, wherein

the virtual biological organ generating means is configured to generate a plurality of parameter values of the mathematical model by using the actual measurement data of the subject, the mathematical model to which the parameter values are applied representing the function of the biological organ of the subject;

6. The biological response prediction system according to claim 5, wherein

the virtual biological organ generating means includes:

acquiring means for acquiring a plurality of sets of parameter values;

comparing means for comparing each virtual biological response generated when the plurality of sets of parameter values acquired by the acquiring means is applied to the mathematical model, with the actual measurement data of the subject received by the input means; and

selecting means for selecting one of the plurality of sets of parameter values acquired by the acquiring means based on the comparison result of the comparing means.

7. The biological response prediction system according to claim 6, wherein

the selecting means is configured to select the set of parameter values corresponding to the virtual biological response having the highest matching rate with respect to the actual measurement data of the subject.

8. The biological response prediction system according to claim 6, further comprising:

template storing means for storing a plurality of sets of parameter values and a plurality of template data representing the virtual biological responses, wherein each of the virtual biological responses represented by each of the template data corresponds to each of the sets of parameter values,

wherein the acquiring means is configured to read the set of parameter values and the template data from the template storing means.

9. The biological response prediction system according to claim 6, wherein

the acquiring means includes,

initial group generating means for generating a plurality of initial groups of the parameter value;

and

genetic algorithm executing means for executing genetic algorithm on the plurality of initial groups of the parameter value generated by the initial group generating means, and generating a plurality of sets of parameter values.

10. A biological response prediction system comprising:

input means for receiving actual measurement data of a subject;

storing means for storing a mathematical model that comprises a plurality of parameters and represents a function of a biological organ;

parameter value generating means for generating a plurality of parameter values of the mathematical model by using the input actual measurement data of the subject, the mathematical model to which the parameter values are applied representing the function of the biological organ of the subject;

virtual biological response computing means for applying the parameter values generated by the parameter value generating means to the mathematical model and computing a virtual biological response representing the biological response of the biological organ of the subject; and

displaying means for displaying the virtual biological response computed by the virtual biological response computing means.

11. The biological response prediction system according to claim 10, wherein

the mathematical model comprises a plurality of blocks respectively representing functions of a plurality of biological organs.

12. The biological response prediction system according to claim 10, further comprising:

input value setting means for setting the input value to the mathematical model, wherein

the virtual biological response computing means is configured to compute the virtual biological response by providing the input value set by the input value setting means to the mathematical model.

13. The biological response prediction system according to claim 10, further comprising:

acquiring time period setting means for setting a time period to acquire the virtual biological response of the mathematical model, wherein

the virtual biological response computing means is configured to compute the virtual biological response indicated by the mathematical model in the time period set by the acquiring time period setting means.

14. The biological response prediction system according to claim 10, wherein

the mathematical model includes a block representing the function of the biological organ associated with metabolism of glucose and/or insulin, wherein

the virtual biological response computing means is configured to compute the virtual biological response using the mathematical model based on the input value of the block.

15. The biological response prediction system according to claim 10, wherein

the parameter value generating means includes:

acquiring means for acquiring a plurality of sets of parameter values;

comparing means for comparing each virtual biological response generated when the plurality of sets of parameter values acquired by the acquiring means is applied to the mathematical model, with the actual measurement data of the subject received by the input means; and

selecting means for selecting one of the plurality of sets of parameter values acquired by the acquiring means based on the comparison result of the comparing means.

16. The biological response prediction system according to claim 15, wherein

the selecting means is configured to select the set of parameter values corresponding to the virtual biological response having the highest matching rate with respect to the actual measurement data of the subject.

17. The biological response prediction system according to claim 15, further comprising:

template storing means for storing a plurality of sets of parameter values and a plurality of template data representing the virtual biological responses, wherein each of the virtual biological responses represented by each of the template data corresponds to each of the sets of parameter values,

the acquiring means is configured to read the set of parameter values and the template data from the template storing means.

18. The biological response prediction system according to claim 15, wherein

the acquiring means includes,

initial group generating means for generating a plurality of initial groups of the parameter value;

and

genetic algorithm executing means for executing genetic algorithm on the plurality of initial groups of the parameter value generated by the initial group generating means, and generating a plurality of sets of parameter values.

19. A method for predicting biological response comprising the steps of:

receiving input of actual measurement data of a subject;

generating virtual biological organ virtually constructed in a computer system using the input actual measurement data, the virtual biological organ corresponding to a function of a biological organ of the subject

acquiring a virtual biological response indicated by the virtual biological organ when input is provided to the generated virtual biological organ; and

outputting the acquired virtual biological response.

20. A computer program product for enabling a computer to predict the biological response comprising:

a computer readable medium, and

software instructions, on the computer readable medium, for enabling the computer to perform predetermined operations comprising;

receiving input of actual measurement data of a subject;

generating virtual biological organ virtually constructed in a computer system using the input actual measurement data, the virtual biological organ corresponding to a function of a biological organ of the subject

acquiring a virtual biological response indicated by the virtual biological organ when input is provided to the generated virtual biological organ; and

outputting the acquired virtual biological response.