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

• US 8,793,144 B2
• Filed: 05/11/2006
• Issued: 07/29/2014
• Est. Priority Date: 05/12/2005
• Status: Active Grant

• Current Assignee: Sysmex Corporation
• Original Assignee: Sysmex Corporation
• Inventors: Kouchi, Yasuhiro, Saitou, Takeo, Seike, Masayoshi
• Primary Examiner(s): Sereboff, Neal
• Application Number:
  US11/431,594
• Publication Number:
  US 20060265136A1
• Time in Patent Office: 3,001 Days
• US Class Current: 705/3
• CPC Class Codes: G16B 25/00 ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

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.

Claims

1. A treatment effect prediction system, comprising:

a processor;

a display device; and

a memory, under control of the processor, including instructions enabling the processor to carry out operations comprising;

simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameters;

obtaining a parameter which is suitable for a patient from the biological model based on diagnostic data of the patient;

generating a patient pathological condition information, which represents a feature of pathological condition of the patient, based on the parameter;

accessing a database which stores a plurality of pathological condition information, a plurality of treatments and a plurality of treatment effect, wherein each of the plurality of pathological condition information corresponds to at least one of the plurality of treatment effects and each of the plurality of treatment effects corresponds to at least one of the plurality of treatments;

retrieving, from the database, at least one of the plurality of stored pathological condition information that is similar to the patient pathological condition information; and

controlling the display device to display the at least one of the plurality of stored treatments and at least one of the plurality of treatment effects which correspond to the retrieved at least one of the plurality of pathological condition information on the display device,

wherein the biological model comprises a pancreas block, a liver block, an insulin kinetics block and a peripheral tissue block representing the respective organ function,

wherein the liver block receives an input of glucose absorption, an input of blood sugar level from the peripheral tissue block, and an input of insulin secretion rate which is an output from the pancreas block;

the insulin kinetics block receives an input of liver-processed insulin from the liver block;

the peripheral tissue block receives an input of net glucose release from the liver block, and an input of peripheral tissue insulin concentration from the insulin kinetics block; and

the pancreas block receives an input of blood sugar level from the peripheral tissue block,

wherein the input and the output of the pancreas block are defined by differential equation

dY/dt=−

α

{Y(t)−

β

(BG(t)−

h)},

wherein Y(t) defines a delivery speed of new insulin from a glucose simulation,

wherein BG(t) defines a blood sugar level,

wherein h defines a glucose concentration threshold of simulated insulin supply,

wherein α

defines a parameter describing tracking relative to glucose simulation,

wherein β

defines a parameter describing a sensitivity to glucose simulation, and

wherein the blood sugar level is higher than the glucose concentration threshold of the simulated insulin supply.

2. The treatment effect prediction system of claim 1, further comprising

an input device;

wherein the operations further comprise receiving the diagnostic data via the input device.

3. The treatment effect prediction system of claim 1,

wherein the operation of the determining comprises:

simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameter;

obtaining a parameter which is suitable for the patient from the biological model based on the diagnostic data; and

generating the patient pathological condition information based on the parameter.

4. The treatment effect prediction system of claim 1,

wherein the database stores a temporal change information of pathological condition occurring when the stored treatment is provided,

and the operations further comprise

obtaining the temporal change information from the database.

5. The treatment effect prediction system of claim 1,

wherein the stored pathological condition information and the stored treatments relate to diabetes.

6. The treatment effect prediction system of claim 5,

wherein the stored pathological condition information comprises at least one of information representing insulin secretory defect, information representing peripheral insulin resistance, information representing impaired peripheral glucose uptake, information representing impaired hepatic glucose uptake, and information representing excessive hepatic glucose release.

7. The treatment effect prediction system of claim 1;

wherein the operations further comprise;

classifying the treatment effect into a plurality of divisions depending on degree of the effect; and

displaying the divisions with frequency or rate of appearance of each division on the display device.

8. The treatment effect prediction system of claim 1,

wherein the displaying operation is performed by displaying the stored treatment, the stored treatment effect and the patient pathological condition information on the display device.

9. The treatment effect prediction system of claim 1,

wherein the displaying operation is performed by displaying the stored treatment, the stored treatment effect, the retrieved pathological condition and the patient pathological condition information on the display device.

10. A computer program product for the prediction of treatment effects, comprising:

a non-transitory computer readable medium; and

computer instructions, on the non-transitory computer readable medium, for enabling a computer to perform the operation of;

simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameter;

obtaining a parameter which is suitable for a patient from the biological model based on a diagnostic data of the patient;

generating a patient pathological condition information, which represents a feature of pathological condition of the patient, based on the parameter;

accessing a database which stores a plurality of pathological condition information, a plurality of treatments and a plurality of treatment effect, wherein each of the plurality of pathological condition information corresponds to at least one of the plurality of treatment effects and each of the plurality of treatment effects corresponds to at least one of the plurality of treatments;

retrieving, from the database, at least one of the plurality of stored pathological condition information that is similar to the patient pathological condition information; and

controlling the computer to display the at least one of the plurality of stored treatments and at least one of the plurality of treatment effects which correspond to the retrieved at least one of the plurality of pathological condition information on a display device of the computer,

wherein the biological model comprises a pancreas block, a liver block, an insulin kinetics block and a peripheral tissue block representing the respective organ function, and

wherein the liver block receives an input of glucose absorption, an input of blood sugar level from the peripheral tissue block, and an input of insulin secretion rate from the pancreas block;

the insulin kinetics block receives an input of liver-processed insulin from the liver block;

the peripheral tissue block receives an input of net glucose release from the liver block, and an input of peripheral tissue insulin concentration from the insulin kinetics block; and

the pancreas block receives an input of blood sugar level from the peripheral tissue block

wherein the input and the output of the pancreas block are defined by differential equation

dY/dt=−

α

{Y(t)−

β

(BG(t)−

h)},

wherein Y(t) defines a delivery speed of new insulin from a glucose simulation,

wherein BG(t) defines a blood sugar level,

wherein h defines a glucose concentration threshold of simulated insulin supply,

wherein α

defines a parameter describing tracking relative to glucose simulation,

wherein β

defines a parameter describing a sensitivity to glucose simulation, and

wherein the blood sugar level is higher than the glucose concentration threshold of the simulated insulin supply.

11. The computer program product of claim 10,

wherein the operation of determining comprises:

simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameter;

obtaining a parameter which is suitable for the patient from the biological model based on the diagnostic data; and

generating the patient pathological condition information based on the parameter.

12. The computer program product of claim 10,

wherein the database stores a temporal change information of pathological condition occurring when the stored treatment is provided,

and the operations further comprise

obtaining the temporal change information from the database.

13. The computer program product of claim 10,

wherein the stored pathological condition information and the stored treatments relate to diabetes.

14. The computer program product of claim 10,

wherein the operations further comprise:

classifying the treatment effect into a plurality of divisions depending on degree of the effect; and

displaying the divisions with frequency or rate of appearance of each division.

15. The computer program product of claim 10,

wherein the displaying operation is performed by displaying the stored treatment, the stored treatment effect and the patient pathological condition information on the display device.

16. The computer program product of claim 10,

wherein the displaying operation is performed by displaying the stored treatment, the stored treatment effect, the retrieved pathological condition and the patient pathological condition information on the display device.