Methods and systems for generation of personalized health plans

• US 8,762,167 B2
• Filed: 07/26/2011
• Issued: 06/24/2014
• Est. Priority Date: 07/27/2010
• Status: Active Grant

• Current Assignee: Segterra, Inc.
• Original Assignee: Segterra, Inc.
• Inventors: Blander, Gil, Reich, Christian, Lester, David
• Primary Examiner(s): Cobanoglu, Dilek B
• Application Number:
  US13/190,996
• Publication Number:
  US 20120130732A1
• Time in Patent Office: 1,064 Days
• Field of Search: 705/3, 435/6.11, 702/20, 703/6, 715/771
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16B 25/00 ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
• CPC Class Codes: G16B 25/10 Gene or protein expression profiling; Expression-ratio estimation or normalisation
• CPC Class Codes: G16B 40/00 ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: G16B 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Personalized, health and performance programs are generated for individuals based on various biomarkers and performance and lifestyle assessments. In one embodiment, a diagnostic test of blood or other biological specimen(s) is used to determine key biological marker levels. Information and assessments of the user'"'"'s physical performance, life style and health and wellness goals is also collected and provided to an expert system that matches the biomarker levels and assessments to a knowledgebase of scientific knowledge about biomarker levels and health and fitness outcomes. Personal recommendations and advice on nutrition and exercise is then generated, which may be used to help individuals reach their diet, fitness, and wellness goals and improve their physical and mental performance and well being in measurable ways.

Claims

1. A system for deriving a personalized health and fitness plan for an individual, the system comprising:

a data storage device for storing (i) an electronic knowledgebase of medical and health data collected from a plurality of sources and (ii) a plurality of questions;

an inference engine comprising a processor, the inference engine configured to;

(i) access data for levels of a plurality of biomarkers for the individual,

(ii) compare the data for the levels of the plurality of biomarkers to the knowledgebase,

(iii) select a subset of the plurality of questions to be presented to the individual based on one or more of the plurality of biomarkers identified by the comparison,

(iv) present the selected subset of the plurality of questions to the individual, and

(v) generate, based on (a) the data for the levels of the plurality of biomarkers and (b) answers received from the individual to the subset of the plurality of questions, a set of recommendations for changing the levels of the one or more of the plurality of biomarkers of the individual; and

a communication server for transmitting the set of recommendations to the individual over a secure network connection.

2. The system of claim 1, wherein the electronic knowledgebase includes previously collected data for the plurality of biomarkers of the individual.

3. The system of claim 2, wherein the comparison between the knowledgebase and the data for the plurality of biomarkers includes comparison between the data for the plurality of biomarkers and the previously collected data.

4. The system of claim 1, wherein the data for the plurality of biomarkers is collected using a sample of blood from the individual.

5. The system of claim 1, wherein the data for the plurality of biomarkers is collected using a non-blood biological specimen from the individual.

6. The system of claim 1, wherein the plurality of biomarkers comprises creatine kinase.

7. The system of claim 1, wherein the plurality of biomarkers comprises ferritin.

8. The system of claim 1, wherein the subset of the plurality of questions comprises questions about the individual'"'"'s demographic data.

9. The system of claim 1, wherein the subset of the plurality of questions comprises questions about the individual'"'"'s athletic activity.

10. The system of claim 1, wherein the set of recommendations comprises dietary recommendations.

11. The system of claim 1, wherein the set of recommendations comprises exercise recommendations.

12. The system of claim 1, wherein the plurality of biomarkers comprises:

Creatine Kinase, Magnesium, Calcium, Ferritin, Folate, Vitamin B 12, Vitamin D, Hemoglobin, Lactic acid, White Blood Cells, IL6, Thiamin, Sodium, Zinc, Glycerol, Glutamine, IL-Ib, sTNFR I, CRP, b-2 micro globulin, Neopterin, and TNF-a.

13. The system of claim 1, wherein the plurality of biomarkers comprises:

Beta-2-microglobulin, IL6, Calcium, Calcitonin, Ferritin, Sodium, GCSF, CRP, Folate, IL2, Creatine Kinase, Vitamin BI2, ILIb, Magnesium, and Vitamin D.

14. A computer-implemented method for deriving a personalized health and fitness plan for an individual, said method comprising the steps of:

collecting data for levels of a plurality of biomarkers for the individual;

comparing the data for the levels of the plurality of biomarkers to an electronic knowledgebase of medical and health data collected from a plurality of sources;

selecting, using a processor, a series of questions to be presented to the individual based on one or more of the plurality of biomarkers identified by the comparison;

presenting the series of selected questions to the individual;

receiving answers to the series of selected questions from the individual;

generating, based on (a) the data for the plurality of biomarkers and Q) the answers, a set of recommendations for changing the levels of the one or more of the plurality of biomarkers of the individual; and

transmitting said series of lifestyle recommendations to the individual over a secure network connection.

15. The method of claim 14, further comprising the steps of:

collecting a second set of data for levels of the plurality of biomarkers for the individual at a time subsequent to the step of transmitting; and

comparing the data for the plurality of biomarkers to the second set of data in order to determine a difference between the data for the plurality of biomarkers and the second set of data.

16. The method of claim 14, wherein the data for the plurality of biomarkers is collected using a sample of blood from the individual.

17. The method of claim 14, wherein the data for the plurality of biomarkers is collected using a non-blood biological specimen from the individual.

18. The method of claim 14, wherein the plurality of biomarkers comprises creatine kinase.

19. The method of claim 14, wherein the plurality of biomarkers comprises ferritin.

20. The method of claim 14, wherein the plurality of biomarkers comprise:

Creatine Kinase, Magnesium, Calcium, Ferritin, Folate, Vitamin B 12, Vitamin D, Hemoglobin, Lactic acid, White Blood Cells, IL6, Thiamin, Sodium, Zinc, Glycerol, Glutamine, IL-1b, sTNFR I, CRP, b-2 micro globulin, Neopterin, and TNF-a.

21. The method of claim 14, wherein the plurality of biomarkers comprise:

Beta-2-microglobulin, IL6, Calcium, Calcitonin, Ferritin, Sodium, GCSF, CRP, Folate, IL2, Creatine Kinase, Vitamin B12, IL 1b, Magnesium, and Vitamin D.

22. The method of claim 14, wherein the series of questions comprises questions about the individual'"'"'s demographic data.

23. The method of claim 14, wherein the series of questions comprises questions about the individual'"'"'s athletic activity.

24. The method of claim 14, wherein the set of recommendations comprises dietary recommendations.

25. The method of claim 14, wherein the set of recommendations comprises exercise recommendations.