Methods For Diagnosis, Prognosis And Treatment

• US 20100204973A1
• Filed: 01/15/2010
• Published: 08/12/2010
• Est. Priority Date: 01/15/2009
• Status: Abandoned Application

• Current Assignee: Nodality Inc.
• Original Assignee: Nodality Inc.
• Inventors: Parkinson, David, Spellmeyer, David, Cesano, Alessandra, Fantl, Wendy J.
• Application Number:
  US12/688,851
• Publication Number:
  US 20100204973A1
• Time in Patent Office: Days
• US Class Current: 703/11
• CPC Class Codes: C12Q 1/6883 for diseases caused by alterations of genetic material
• CPC Class Codes: C12Q 2600/158 Expression markers
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

An embodiment of the present invention is a method of generating a report based on an association metric. The method involves identifying node state data associated with a sample, and generating an association metric based on the node state data.

Claims

1. A computer-implemented method of generating a report for a third party, the method comprising:

identifying, at a server comprising a memory and a processor, node state data associated with a sample, wherein the node state data specifies a level of one or more activatable elements in one or more cells in the sample responsive to stimulation with a modulator;

generating, at the server, an association metric based on the node state data and a statistical model, wherein the statistical model characterizes node state data associated with a biological state and the association metric specifies whether the sample is in the biological state characterized by the statistical model;

generating a report based on the association metric;

transmitting the report to a client operated by the third party.

2. The method of claim 1, further comprising generating the statistical model at the server.

3. The method of claim 2, wherein generating the statistical model at the server comprises:

generating node state data based on a plurality of samples with a known biological state;

storing the node state data in a database in association with the biological state; and

generating the statistical model based on the node state data associated with the biological state in the database.

4. The method of claim 3, wherein the generating the statistical model further comprises:

determining that the sample is in the biological state based on the associated metric;

storing the node state data associated with the sample in the database in association with the biological state; and

re-generating the model based on the node state data associated with the biological state in the database.

5. The method of claim 1, wherein the node state data is received from the client operated by the third party.

6. The method of claim 5, wherein the server is operated by a central laboratory.

7. The method of claim 5, wherein the node state data is generated by the third party client using kit software developed by the central laboratory.

8. The method of claim 7, wherein the node state data is generated by the third party client by quantifying a signal that represents the level of one or more activatable elements in the sample responsive to stimulation with a modulator.

9. The method of claim 4, wherein the node state data is generated by the central laboratory from a physical sample from the third party.

10. The method of claim 9, wherein the physical sample has been contacted with a modulator or antibody by the third party.

11. The method of claim 1, wherein the biological state is selected from the group of:

a disease state, a clinical outcome or marker thereof, a response to a modulator and an activation level of an activatable element.

12. The method of claim 11, wherein the association metric specifies a likelihood of whether the sample is in the biological state and the report displays the likelihood of whether the sample is in the biological state.

13. The method of claim 12, wherein the report is used by the third party to:

select a sample for an experiment, guide treatment of a patient, diagnose a patient, or determine a prognosis for the patient.

14. The method of claim 12, wherein the association metric specifies whether or not the sample is in the biological state and the report displays a binary value indicating whether or not the sample is in the biological state.

15. The method of claim 1, wherein the report displays one or more graphical summaries of the node state data.

16. The method of claim 1, wherein the report is further generated based on biometric data associated with the sample.

17. The method of claim 1, wherein the node state data is generated based on a modulator or antibody that is standardized by the central laboratory.

18. The method of claim 1, wherein the node state data is generated by treating the sample according to a protocol and the protocol is standardized by the central laboratory.

19. A computer-implemented method of generating a report for third party, the method comprising:

identifying, at a server comprising a memory and a processor, node state data associated with a sample collected by the third party, wherein the node state data specifies a level of one or more activatable elements in one or more cells in the sample responsive to stimulation with a modulator;

generating, at the server, an association metric based on the node state data and a statistical model, wherein the statistical model characterizes node state data associated with a biological state and the association metric specifies whether the sample is in the biological state characterized by the statistical model;

generating a report based on the association metric;

transmitting the report to the third party.

20. A computer system for generating a report for third party, the system comprising:

a memory;

a processor;

an association metric module executable to;

identify node state data associated with a sample, wherein the node state data specifies a level of one or more activatable elements in one or more cells in the sample responsive to stimulation with a modulator, and

generate an association metric based on the node state data and a statistical model, wherein the statistical model characterizes node state data associated with a biological state and the association metric specifies whether the sample is in the biological state characterized by the statistical model;

a report generation module executable to generate a report based on the association metric; and

a client communication module executable to transmit the report to a client operated by the third party.

21. The system of claim 20, further comprising:

a model generation module executable to generate the statistical model.

22. The system of claim 21, further comprising:

a node state metric module executable to generate node state data based on a plurality of samples with a known biological state; and

a database generation module executable to store the node state data in a database in association with the biological state, wherein the model generation model is further executable to generate the statistical model based on the node state data associated with the biological state in the database.

23. The system of claim 22, wherein the association metric module is further executable to:

determine that the sample is in the biological state based on the associated metric and

store the node state data associated with the sample in the database in association with the biological state,

and the model generation module is further executable to;

re-generate the model based on the node state data associated with the biological state in the database.

24. The system of claim 20, wherein the system is operated by a central laboratory.

25. The system of claim 20, wherein the node state data is generated by the central laboratory from a physical sample from the third party.

26. The system of claim 20, wherein the biological state is selected from the group of:

a disease state, a clinical outcome or marker thereof, a response to a modulator and an activation level of an activatable element.

27. The system of claim 20, wherein the association metric module is executable to generate an association metric that specifies a likelihood of whether the sample is in the biological state and the report displays the likelihood of whether the sample is in the biological state.

28. The system of claim 20, wherein the client communication module is further adapted to receive biometric data associated with the sample from laboratories that partner with the central laboratory to generate reports.