System for tracking and optimizing health indices

Information

  • Patent Grant
  • 11869665
  • Patent Number
    11,869,665
  • Date Filed
    Tuesday, September 29, 2020
    4 years ago
  • Date Issued
    Tuesday, January 9, 2024
    11 months ago
  • CPC
    • G16H50/30
    • G16H10/60
  • Field of Search
    • CPC
    • G16H50/30
    • G16H10/60
  • International Classifications
    • G06Q50/00
    • G06Q10/00
    • G16H50/30
    • G16H10/60
    • Disclaimer
      This patent is subject to a terminal disclaimer.
      Term Extension
      459
Abstract
A system and method for tracking and optimizing health indices is provided. In some embodiments the system provides for tracking and/or optimizing health indices of one or more individuals having a particular genetic profile and adaptively managing external factors the individual experiences so as to optimize a change in one or more health indices based on the individual's genetic profile.
Description
FIELD OF THE INVENTION

The present invention generally relates to a system and method for tracking and optimizing health indices. More specifically, in some embodiments the present invention relates to a system and method for tracking and optimizing health indices of one or more individuals having a particular genetic profile and adaptively managing external factors the individual experiences so as to optimize a change in one or more health indices based on the individual's genetic profile.


BACKGROUND OF THE INVENTION

The cells, organs, systems, and bodies of living organism change over time, growing, improving, or degrading throughout the organism's existence, from birth to death or expiration. The progression of these changes describes a traceable change pattern across time for various aspects of the organism's health and wellbeing.


Scientific advancements have made the ability to determine an individual organism's genetic code a reality, and such information is increasingly utilized. Individuals and their health providers are becoming increasingly aware of the potential impact external factors such as nutrition, lifestyle and medicines have on their health. More recently, scientists are starting to consider wherein individuals with similar genetic codes, experiencing similar external factors, will be predisposed to experience similar health outcomes.


While there has recently been greater attention by consumer organizations, health organizations and the public to the nutritional value of nutritional substances, and the efficacy value of consumables and cosmetic substances, and the impact on health, the industries that provide such products have been slow in responding to this attention. Further, the concept of one's genetic profile playing a role in the real benefit received to an individual from such products, is extremely new, and information available to inform an individual is nearly nonexistent.


An information system allowing an individual organism of a particular genetic profile to adaptively manage major external factors that it may experience, particularly its consumption of nutritional substances and consumables and cosmetic substances, so as to optimize its AHs over time, would offer great benefit.


OBJECTS OF THE INVENTION

It is an object of the present invention to track and monitor the various aspects associated with the organism's health and wellbeing which can be qualitatively or quantitatively described by various health indices, wherein values associated with the state of each corresponding health index can be assigned. Such health index values can be tracked over time. Changes in these health index values are individually and collectively referred to herein as ΔH.


Is it another object of the present invention to track and monitor individuals with a particular genetic code, and individuals with similar genetic codes, experiencing similar external factors, will be predisposed to experience similar AHs. As referred to herein, individuals with genetic traits that predispose them to experience similar AHs to other individuals experiencing similar external factors are said to share a similar genetic profile.


In an object of the present invention, an information system is provided with a genetic profile database containing ΔH data for various genetic profiles, wherein each genetic profile includes ΔH data for organisms with genetic traits that predispose them to experience similar AHs when experiencing similar external factors.


In a further object of the present invention, an information system is provided with a genetic profile database containing ΔH data for various genetic profiles, wherein each genetic profile includes ΔH data for organisms with genetic traits that predispose them to experience similar AHs when consuming similar nutritional substances and consumables and cosmetic substances.


In an object of the present invention, an information system and database are provided to track and store health index values and changes in the health index values (ΔH).


In an object of the present invention, an information system is provided to adaptively manage major external factors that an individual organism having a particular genetic profile may experience, so as to optimize various AHs of the individual organism over time.


In a further object of the present invention, an information system is provided to adaptively manage consumption of nutritional substances and consumables and cosmetic substances an individual organism having a particular genetic profile may consume or use, so as to optimize various AHs of the individual organism over time.


SUMMARY OF THE INVENTION

Embodiments of the present invention relate generally to a system and method for tracking and optimizing health indices.


In some embodiments a system for tracking and/or optimizing one or more health indices associated with an individual is provided comprising: a genetic profile database that collects genetic code data for individuals and identifies corresponding genetic profiles based on the genetic code data; a ΔH database that contains ΔH data associated with each of the genetic profiles, the ΔH data comprising changes in one or more health indices associated with an individuals' health; wherein an individual may track or adaptively manage external factors the individual experiences so as to optimize ΔH based on the individual's particular genetic profile.


The one or more health indices may be comprised of quantitative or qualitative values or scores associated with quality of life, disease state, disease resistance, vital signs, blood chemistry, strength, endurance, metal elasticity, or other factors associated with an individuals' health or wellbeing.


In some embodiments the ΔH database further contains information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, and such information is correlated to one or more of the health indices for a given genetic profile. Optionally, the ΔH database further contains at least one ΔN value, wherein ΔN is the actual residual nutritional value of the nutritional substance an individual plans to prepare or consume, or a change in the nutritional value of the nutritional substance over time. According to embodiments of the present invention, ΔN is a change in a nutritional, organoleptic, or aesthetic value of the nutritional substance and said change comprises any of a maintenance, improvement, or degradation.


In another embodiment, the ΔH database further contains at least one ΔE value, wherein ΔE is the actual residual efficacy value of the consumables or cosmetics substances an individual plans to consume or use, or a change in the efficacy value of the consumables or cosmetics substances over time.


In a further aspect, embodiments of the present invention provide a system for tracking and optimizing health indices of one or more individuals, characterized in that: an individual having a particular genetic profile adaptively manages external factors the individual experiences so as to optimize a change in one or more health indices based on the individual's genetic profile.





BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawing, which is incorporated in and constitute a part of this specification, exemplify the embodiments of the present invention and, together with the description, serve to explain and illustrate principles of the invention. The drawing is intended to illustrate major features of the exemplary embodiments in a diagrammatic manner. The drawing is not intended to depict every feature of actual embodiments nor relative dimensions of the depicted elements, and is not drawn to scale.



FIG. 1 is a graph illustrating a particular health index of three individuals plotted against various changes in conditions to which the individuals may be exposed according to embodiments of the present invention; and



FIG. 2 shows a schematic functional block diagram of one example of a health index system 200 according to one embodiment of the present invention.





DETAILED DESCRIPTION

Embodiments of the present invention broadly provide a system and method for tracking and optimizing health indices. In some embodiments a system for tracking and/or optimizing one or more health indices associated with an individual is provided comprising: a genetic profile database that collects genetic code data for individuals and identifies corresponding genetic profiles based on the genetic code data; a ΔH database that contains ΔH data associated with each of the genetic profiles, the ΔH data comprising changes in one or more health indices associated with an individuals' health; wherein an individual may track or adaptively manage external factors the individual experiences so as to optimize ΔH based on the individual's particular genetic profile.


As described herein, various aspects associated with organism's or individual's health and wellbeing which can be qualitatively or quantitatively described by various health indices, is characterized as a health index, and wherein values associated with the state of each corresponding health index can be assigned. Such health index values can be tracked over time. Changes in these health index values are individually and collectively referred to herein as ΔH.


Moreover, individuals with a particular genetic code, and individuals with similar genetic codes, experiencing similar external factors, will be predisposed to experience similar AHs. As referred to herein, individuals with genetic traits that predispose them to experience similar AHs to other individuals experiencing similar external factors are said to share a similar genetic profile.



FIG. 1 shows a particular health index of three individuals plotted against various changes in conditions to which the individuals may be exposed. As used herein, the terms individual and individuals may also refer to individual organism and individual organisms, respectively. An individual's health indices may include quantitative or qualitative values, ratings, scores, and the like, assigned to various aspects associated with the individuals health and well being. Such health indices may include, but are not limited to, values associated with the quality of life, disease resistance, strength, endurance, mental elasticity, and any other factors associated with an individuals health and well being that can be quantitatively or qualitatively valued. Changes in such health indices are individually and collectively referred to herein as ΔH.


Changes in conditions individuals may experience, or to which individuals may be exposed include, but are not limited to, changes in elapsed time, diet, medication, exercise, surgery, and any other change in condition which an individual may experience. Such changes in conditions may concurrently include any combination of changes in conditions to which the individuals may be exposed. For example, in one embodiment, changes in conditions concurrently include elapsed time and diet. In another embodiment, changes in conditions concurrently include elapsed time and medication. In a further embodiment, changes in conditions concurrently include elapsed time, diet, and medication. In a preferred embodiment, changes in conditions concurrently include elapsed time, residual nutritional values of nutritional substances consumed (referred to herein as ΔN information) and residual efficacy values of consumables and cosmetic substances used, including medications (referred to herein as ΔE information).


In FIG. 1, the line identified as “Individual A1” represents a first individual having a particular genetic profile “A” and a corresponding initial particular health index value of “H2”. The line identified as “Individual A2” represents a second individual having a similar genetic profile “A” and accordingly the same initial particular health index value of “H2”. The line identified as “Individual B i” represents a third individual having a particular genetic profile “B” and a corresponding initial particular health index value of “H1”. The line identified as “Individual B2” represents a forth individual having a similar genetic profile “B” and accordingly the same initial particular health index value of “H1”.


Individual A1 has an initial particular health index value of H2 at T0, for example at birth. Individual A1, which includes those caring for him, has knowledge of his genetic code, “a1”, which may be determined in any fashion known to those skilled in the art, and can be stored in any format known to those skilled in the art. Individual A1 has access to a database corresponding to individuals with various genetic profiles. He may determine and access the genetic profile corresponding to his genetic code a1 by transmitting his genetic code a1 to the database, wherein the database identifies the corresponding genetic profile A1. Each genetic profile contained within the database is referenced to information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, required to optimize various corresponding health indices for individuals with that genetic profile. Such a database is also referred to herein as a ΔH database. Individual A1 additionally has access to information systems with databases containing information regarding the actual residual nutritional value of nutritional substances he plans to prepare or consume, also referred to herein as ΔN information, and the actual residual efficacy value of consumables and cosmetic substances he plans to consume or use, also referred to herein as ΔE information. Information systems and databases containing such ΔN and ΔE information are further described in detail in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851, the teaching and descriptions of all of which are incorporated herein by reference in their entirety.


The ΔH database containing information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, required to optimize a particular health index for individuals with known genetic profiles, can be utilized to adaptively recommend the consumption or use of particular nutritional substances and consumables and cosmetic substances responsive to: an individual's genetic code; tracked information regarding actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used by an individual; and ΔN and ΔE information for nutritional substances and consumables and cosmetic substances currently being considered by the individual.


In an example, individual A1 utilizes information regarding his genetic code “a1” to identify a corresponding genetic profile in the ΔH database, wherein the corresponding genetic profile “A” is referenced to information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, required to optimize particular health indices for individuals with genetic profile “A”. Input from individual A1 may also include one or more particular health indices of interest, and may further include information regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used individual A1, wherein such information may have been acquired through his use of the information systems such as described in detail in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851, the teaching and descriptions of all of which are incorporated herein by reference in their entirety. Responsive to the input from individual A1, the ΔH database adaptively determines and provide recommendations regarding current needs for consumption or use of nutritional substances and consumables and cosmetic substances so as to optimize corresponding health indices. The adaptive nature of such recommendations takes into account deficient, proper, or excesses levels of particular nutritional values and efficacy values. For example, the input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used by individual A1 may compared to, or otherwise evaluated against, the ΔH database for genetic profile “A”, in order to determine currently needed levels of corresponding nutritional and efficacy values. Using the adaptively determined recommendations from the ΔH database regarding needed nutritional and efficacy values, individual A1 can further utilize the information systems described fully and in detail in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851 to accomplish conditioning, dispensing, consumption, and use of nutritional substances and consumables and cosmetic substances to assure the consumption and use of required residual nutritional and efficacy values. In this way, individual A1 is able to achieve the highest corresponding health index at any given time from T0, for example his birth, to time T5, for example his expiration or death.


As demonstrated by this example, individual A1's ultimate consumption and use of nutritional substances and consumables and cosmetic substances has benefited from adaptively determined recommendations responsive to: input from individual A1 regarding his genetic code “a1”; input from individual A1 regarding particular health indices of interest; input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances individual A1 has already consumed or used; and ΔN and ΔE information for nutritional substances and consumables and cosmetic substances currently being considered for conditioning, consumption, dispensing, or use by individual A1. In this way, individual A1 has optimized the particular health indices and achieved the highest corresponding health index at any given time from T0, for example his birth, to time T5, for example his expiration.


In a further example, individual A2 has a unique genetic code “a2”, but has the same genetic profile “A” as individual A1, and accordingly has an initial particular health index value of H2 corresponding to the particular health index value at T0. However, individual A2 does not utilize the ΔH database. Accordingly, individual A2 is unable to obtain adaptively determined recommendations regarding nutritional and efficacy values needed to optimize the particular health index for individuals with his genetic profile “A”. Therefore, he is not able to achieve the highest corresponding health index at any given time from T0, for example his birth, to time T2, for example his expiration.


It is clear from FIG. 1 that individual A1's utilization of the ΔH database, along with input regarding his genetic code “a1”; input regarding particular health indices of interest; input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used; and ΔN and ΔE information for nutritional substances and consumables and cosmetic substances he was currently considering for conditioning, consumption, dispensing, or use, enabled him to achieve a higher corresponding health index at any given time from T0 to T5, than individual A2, who shares the same genetic profile “A” and initial health index value of H2, but does not utilize the ΔH database. It is also clear that individual A1's expiration occurs at a later time T5 than individual A2's expiration at T2.


In an example, individual B1 utilizes information regarding his genetic code “b1” to identify a corresponding genetic profile in the ΔH database, wherein the corresponding genetic profile “B” is referenced to information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, required to optimize particular health indices for individuals with genetic profile “B”. Input from individual B1 may also include one or more particular health indices of interest, and may further include information regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used individual B1, wherein such information may have been acquired through his use of the information systems described in detail in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851, the teaching and descriptions of all of which are incorporated herein by reference in their entirety. Responsive to the input from individual B1, the ΔH database adaptively determines and provide recommendations regarding current needs for consumption or use of nutritional substances and consumables and cosmetic substances so as to optimize corresponding health indices. The adaptive nature of such recommendations takes into account deficient, proper, or excesses levels of particular nutritional values and efficacy values. For example, the input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used by individual B1 may compared to, or otherwise evaluated against, the ΔH database for genetic profile “B”, in order to determine currently needed levels of corresponding nutritional and efficacy values. Using the adaptively determined recommendations from the ΔH database regarding needed nutritional and efficacy values, individual B1 can further utilize the information systems described fully and in detail in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851 to accomplish conditioning, dispensing, consumption, and use of nutritional substances and consumables and cosmetic substances to assure the consumption and use of required residual nutritional and efficacy values. In this way, individual B1 is able to achieve the highest corresponding health index at any given time from T0, for example his birth, to time T4, for example his expiration.


As demonstrated by this example, individual B1's ultimate consumption and use of nutritional substances and consumables and cosmetic substances has benefited from adaptively determined recommendations responsive to: input from individual B1 regarding his genetic code “b1”; input from individual B1 regarding particular health indices of interest; input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances individual B1 has already consumed or used; and ΔN and ΔE information for nutritional substances and consumables and cosmetic substances currently being considered for conditioning, consumption, dispensing, or use by individual B1. In this way, individual B1 has optimized the particular health indices and achieved the highest corresponding health index at any given time from T0, for example his birth, to time T4, for example his expiration.


In a further example, individual B2 has a unique genetic code “b2”, but has the same genetic profile “B” as individual B1, and accordingly has an initial particular health index value of H1 corresponding to the particular health index value at T0. However, individual B2 does not begin to utilize the ΔH database until T1. Accordingly, individual B2 is unable to obtain adaptively determined recommendations regarding nutritional and efficacy values needed to optimize the particular health index for individuals with his genetic profile “B”. Therefore, he is not able to achieve the highest corresponding health index at any given time from T0, for example his birth, to time T1 when he begins to utilize the ΔH database.


At time T1 individual B2 begins to utilize the information regarding his genetic code “b2” to identify a corresponding genetic profile in the ΔH database, wherein the corresponding genetic profile “B” is referenced to information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, required to optimize particular health indices for individuals with genetic profile “B”. Input from individual B2 may also include one or more particular health indices of interest, and may further include information regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used individual B2, wherein such information may have been acquired through his use of the information systems described in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851, the teaching and descriptions of all of which are incorporated herein by reference in their entirety. Responsive to the input from individual B2, the ΔH database adaptively determines and provide recommendations regarding current needs for consumption or use of nutritional substances and consumables and cosmetic substances so as to optimize corresponding health indices. The adaptive nature of such recommendations takes into account deficient, proper, or excesses levels of particular nutritional values and efficacy values. For example, the input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used by individual B2 may compared to, or otherwise evaluated against, the ΔH database for genetic profile “B”, in order to determine currently needed levels of corresponding nutritional and efficacy values. Using the adaptively determined recommendations from the ΔH database regarding needed nutritional and efficacy values, individual B2 can further utilize the information systems described fully and in detail in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and 14/044,851 to accomplish conditioning, dispensing, consumption, and use of nutritional substances and consumables and cosmetic substances to assure the consumption and use of required residual nutritional and efficacy values. In this way, individual B2 is able to achieve the highest corresponding health index at any given time from T1, when he begins utilizing the adaptively determined recommendations, to time T3, for example his expiration.


It is clear from FIG. 1 that individual B1's utilization of the ΔH database, along with input regarding his genetic code “b1”; input regarding a particular health index of interest; input regarding the actual residual nutritional and efficacy values of nutritional substances and consumables and cosmetic substances already consumed or used; and ΔN and ΔE information for nutritional substances and consumables and cosmetic substances he was currently considering, enabled him to achieve a higher corresponding health index at any given time from T0 to T4, than individual B2, who shares the same genetic profile “B” and initial health index value of H1, but does not begin to utilize the ΔH database until T1. While individual B1's expiration occurs at a later time T4 than individual B2's expiration at T3, it is clear that individual B2 was able to favorably affect the rate of change, in this case a decline, in the particular health index value by beginning to obtain adaptively determined recommendations regarding required residual nutritional and efficacy values from the ΔH database.



FIG. 2 illustrates one embodiment of an exemplary health index system 200 according to some embodiments of the present invention. In this example, health index system 200 includes ΔH database 220, genetic profile database 230, controller 240 and consumer interface 280. The term “consumer” is used for convenience, however the consumer may be considered to be an individual, patient, health care provider, or any other person or entity that uses or accesses the system. Coupled to the controller 240 may be a nutritional substance/consumables and cosmetics database 270 as described in the co-pending applications cited herein. ΔH data 250 is read or inputted by consumer 260 into the system 200. ΔH data 250 represents the various health index values over time of the individual and is tracked and stored over time in the ΔH database 220.


The genetic profile database 230 may be created by: determining the genetic code of many individuals, and preferably, all individuals; tracking and storing their various health index values over time (ΔH data 250); referencing the tracked and stored data to its corresponding genetic code; and analyzing the data to identify distinct genetic profiles, wherein each genetic profile includes ΔH data for individuals with genetic traits that predispose them to experience similar AHs when consuming similar nutritional substances and consumables and cosmetic substances.


The data for each genetic profile may be further analyzed to identify information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, required to optimize various corresponding health indices for individuals with that genetic profile. Such information may comprise the ΔH database 220.


By determining an individual's genetic code, the ΔH database 220 could be used in many ways to improve the health, wellbeing, and/or longevity of the individual. For example, if someone has a large tumor then his doctor can access the ΔH database 220 and determine the best course of action for individuals with the same genetic profile from the generic profile database 230. In this case the ΔH database 220 and genetic profile database 230 may show that individuals sharing this genetic profile lived a long time without the need for the tumor to be removed simply by taking care to not consume particular nutritional values found in specific nutritional substances, for example, specific nutritional values found in milk that accelerate tumors in men but not in women. In contrast a doctor might identify another very small tumor that given the individuals genetic profile, had to be extracted with urgency as regardless of nutritional substance and consumables and cosmetic substances consumed or used, it has a devastating effect if it remained in his body.


Of particular advantage, controller 240 is configured or adapted to process and correlate the genetic profile data and ΔH data. Such processing and correlation may produce an output that is used to determine desired treatment to improve the health, wellbeing, and/or longevity of the individual. Optionally, nutritional substance information and/or consumable and cosmetics data 270 may also be correlated or processed by controller 240 to provide further output that is used to determine desired treatment to improve the health, wellbeing, and/or longevity.


In an alternate embodiment, controller 230 references nutritional substance information and/or consumables and cosmetics information from database 270 to genetic profile database 230 to inform the consumer 260 via consumer interface 280 what impact a particular nutritional substance and/or consumable or cosmetic may have on the consumer given a particular genetic profile.


The health index system 200 can be implemented with discreet devices. Data may be provided in a number of ways, such as by optical reader such as a barcode scanner or camera capable of discerning reference information, by reader such wireless signal reader, reading RFID labels, or near field IDs, by manual input via a keyboard or touch screen, and the like. Controller 240 can be a computer, microcontroller, personal computer, laptop computer, tablet computer, or smartphone. Consumer interface 280 can be a standalone touchpad display panel which allows interaction with the consumer, but is preferably integrated into controller 240.


The utilization of the information systems comprising a ΔH database, in conjunction with the nutritional substance and consumables and cosmetic substance information systems described in copending U.S. patent application Ser. Nos. 13/771,004, 13/888,353, 13/948,004, 13/948,078, 13/948,083, and Ser. No. 14/044,851, dynamically connects participants and stake holders across the nutritional substance/consumables and cosmetic substance ecosystem in order to improve individuals health, wellbeing, and quality of life.


Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense (i.e., to say, in the sense of “including, but not limited to”), as opposed to an exclusive or exhaustive sense. As used herein, the terms “connected,” “coupled,” or any variant thereof means any connection or coupling, either direct or indirect, between two or more elements. Such a coupling or connection between the elements can be physical, logical, or a combination thereof. Additionally, the words “herein,” “above,” “below,” and words of similar import, when used in this application, refer to this application as a whole and not to any particular portions of this application. Where the context permits, words in the above Detailed Description using the singular or plural number may also include the plural or singular number respectively. The word “or,” in reference to a list of two or more items, covers all of the following interpretations of the word: any of the items in the list, all of the items in the list, and any combination of the items in the list.


The above Detailed Description of examples of the invention is not intended to be exhaustive or to limit the invention to the precise form disclosed above. While specific examples for the invention are described above for illustrative purposes, various equivalent modifications are possible within the scope of the invention, as those skilled in the relevant art will recognize While processes or blocks are presented in a given order in this application, alternative implementations may perform routines having steps performed in a different order, or employ systems having blocks in a different order. Some processes or blocks may be deleted, moved, added, subdivided, combined, and/or modified to provide alternative or sub-combinations. Also, while processes or blocks are at times shown as being performed in series, these processes or blocks may instead be performed or implemented in parallel, or may be performed at different times. Further any specific numbers noted herein are only examples. It is understood that alternative implementations may employ differing values or ranges.


The various illustrations and teachings provided herein can also be applied to systems other than the system described above. The elements and acts of the various examples described above can be combined to provide further implementations of the invention.


Any patents and applications and other references noted above, including any that may be listed in accompanying filing papers, are incorporated herein by reference. Aspects of the invention can be modified, if necessary, to employ the systems, functions, and concepts included in such references to provide further implementations of the invention.


These and other changes can be made to the invention in light of the above Detailed Description. While the above description describes certain examples of the invention, and describes the best mode contemplated, no matter how detailed the above appears in text, the invention can be practiced in many ways. Details of the system may vary considerably in its specific implementation, while still being encompassed by the invention disclosed herein. As noted above, particular terminology used when describing certain features or aspects of the invention should not be taken to imply that the terminology is being redefined herein to be restricted to any specific characteristics, features, or aspects of the invention with which that terminology is associated. In general, the terms used in the following claims should not be construed to limit the invention to the specific examples disclosed in the specification, unless the above Detailed Description section explicitly defines such terms. Accordingly, the actual scope of the invention encompasses not only the disclosed examples, but also all equivalent ways of practicing or implementing the invention under the claims.


While certain aspects of the invention are presented below in certain claim forms, the applicant contemplates the various aspects of the invention in any number of claim forms. For example, while only one aspect of the invention is recited as a means-plus-function claim under 35 U.S.C. § 112, sixth paragraph, other aspects may likewise be embodied as a means-plus-function claim, or in other forms, such as being embodied in a computer-readable medium. Any claims intended to be treated under 35 U.S.C. § 112, ¶6 will begin with the words “means for.” Accordingly, the applicant reserves the right to add additional claims after filing the application to pursue such additional claim forms for other aspects of the invention.

Claims
  • 1. A system for tracking and/or optimizing one or more health indices associated with an individual, the system comprising: a computer system having memory containing machine executable code;a genetic profile database that collects genetic code data for individuals and identifies corresponding genetic profiles based on the genetic code data;a ΔH database that contains ΔH data associated with each of the genetic profiles, the ΔH data comprising changes in one or more health indices associated with an individuals' health over time;a consumer interface configured to receive information regarding nutritional values of nutritional substances the individual identifies; anda controller, coupled to the memory, and comprising one or more processors, the one or more processors configured to execute the machine executable code to:correlate, by the controller, the genetic code data and ΔH data,determine, by the controller, needed levels of nutritional values based on the actual residual nutritional values of the nutritional substances identified by the individual, the correlated genetic code data and the ΔH data, andoutput the correlated ΔH data to an individual wherein an individual tracks or adaptively manages external factors the individual experiences so as to optimize the ΔH data based on the individual's particular genetic profile.
  • 2. The system of claim 1 further comprising: execute, by the controller, conditioning of nutritional substances to achieve the needed levels of nutritional values determined by the controller.
  • 3. The system of claim 1 wherein the one or more health indices are comprised of quantitative or qualitative values or scores associated with quality of life, disease state, disease resistance, vital signs, blood chemistry, strength, endurance, metal elasticity, or other factors associated with an individuals' health or wellbeing.
  • 4. The system of claim 1 wherein the ΔH database further contains information regarding efficacy values of consumables and cosmetic substances, and combinations thereof, and such information is correlated to one or more of the health indices for a given genetic profile.
  • 5. The system of claim 1 wherein the ΔH database further contains information regarding nutritional values of nutritional substances, and at least one ΔN value, wherein ΔN is a change in the nutritional value of the nutritional substances over time.
  • 6. The system of claim 5 wherein ΔN is the actual residual nutritional value of the nutritional substance an individual plans to prepare or consume.
  • 7. The system of claim 5, wherein the individual tracks or adaptively manages external factors the individual experiences so as to optimize the ΔH based on the individual's particular genetic profile and the ΔN value of the nutritional substances the individual may consume as determined by the controller.
  • 8. The system of claim 5 wherein ΔN is a change in the nutritional value of the nutritional substance and said change comprises any of a maintenance, improvement, or degradation.
  • 9. The system of claim 1 wherein the ΔH database further contains at least one ΔE value, wherein ΔF is the actual residual efficacy value of the consumables or cosmetics substances an individual plans to consume or use, or a change in the efficacy value of the consumables or cosmetics substances over time.
  • 10. The system of claim 1 further comprising a consumer interface configured to receive ΔH information.
  • 11. The system of claim 9 wherein the consumer interface is further configured to provide ΔH information.
  • 12. The system of claim 1 wherein said controller comprises a computer.
  • 13. The system of claim 1 wherein said system comprises an internet database running on one or more servers.
  • 14. The system of claim 1 further comprising an additional database containing information regarding nutritional values of nutritional substances and efficacy values of consumables and cosmetic substances, and combinations thereof, and such information is correlated to one or more of the health indices for a given genetic profile.
RELATED APPLICATIONS

This application is a divisional of U.S. patent application Ser. No. 14/508,913 filed Oct. 7, 2014, titled “SYSTEM FOR TRACKING AND OPTIMIZING HEALTH INDICES”, which claims the benefit of, and priority to, U.S. Provisional Patent Application Ser. No. 61/888,451 filed Oct. 8, 2013, titled “SYSTEM FOR TRACKING AND OPTIMIZING HEALTH INDICES,” the entire disclosure of which is incorporated herein by reference in its entirety.

US Referenced Citations (325)
Number Name Date Kind
4225410 Pace Sep 1980 A
4555930 Leach et al. Dec 1985 A
4644154 Brogardh et al. Feb 1987 A
4650766 Harm et al. Mar 1987 A
4674320 Hirschfeld Jun 1987 A
D333782 van Berlo Mar 1993 S
5250789 Johnsen Oct 1993 A
5412560 Dennision May 1995 A
5442669 Medin Aug 1995 A
5478900 Amano et al. Dec 1995 A
5478989 Shepley Dec 1995 A
5478990 Montanari et al. Dec 1995 A
5673691 Abrams et al. Oct 1997 A
5697177 Ludlow et al. Dec 1997 A
5804803 Cragun et al. Sep 1998 A
5853790 Glancy Dec 1998 A
5872721 Huston et al. Feb 1999 A
5937387 Summerell Aug 1999 A
5954640 Szabo Sep 1999 A
6012415 Linseth Jan 2000 A
6119531 Wendte et al. Sep 2000 A
6182725 Sorvik Feb 2001 B1
6211789 Oldham et al. Apr 2001 B1
6270724 Woodaman Aug 2001 B1
6276264 Dumm Aug 2001 B1
6310964 Mohan et al. Oct 2001 B1
6325878 Borgstrom Dec 2001 B1
6356940 Short Mar 2002 B1
6387049 Moore May 2002 B1
6444233 Arntzen et al. Sep 2002 B1
6483434 Umiker Nov 2002 B1
6491217 Catan Dec 2002 B2
6502411 Okamoto Jan 2003 B2
6512919 Ogasawara Jan 2003 B2
6513532 Mault et al. Feb 2003 B2
6538215 Montagnino et al. Mar 2003 B2
6549818 Ali Apr 2003 B1
6553386 Alabaster Apr 2003 B1
6554182 Magnusson et al. Apr 2003 B1
6556963 Tetzlaff Apr 2003 B1
6571603 Doleman et al. Jun 2003 B1
D478773 Palen Aug 2003 S
6616047 Catan Sep 2003 B2
6631333 Lewis et al. Oct 2003 B1
6671698 Pickett et al. Dec 2003 B2
6676014 Catan Jan 2004 B2
6689398 Haridas et al. Feb 2004 B2
6691135 Pickett et al. Feb 2004 B2
6716462 Prosise et al. Apr 2004 B2
6773926 Freund et al. Aug 2004 B1
6789021 Rendahl et al. Sep 2004 B2
6844197 Doleman et al. Jan 2005 B1
6874000 Sholl et al. Mar 2005 B2
6888458 Carlson May 2005 B2
6953342 Bisogno Oct 2005 B2
6975910 Brown et al. Dec 2005 B1
6982640 Lindsay et al. Jan 2006 B2
7024369 Brown et al. Apr 2006 B1
7076438 Tobelmann et al. Jul 2006 B1
7085777 Beck et al. Aug 2006 B2
7090638 Vidgen Aug 2006 B2
7103481 Negri Sep 2006 B2
7151447 Willms et al. Dec 2006 B1
7152040 Hawthorne et al. Dec 2006 B1
D534758 Lee et al. Jan 2007 S
D539072 Kawata et al. Mar 2007 S
D539595 Okuda et al. Apr 2007 S
D540613 Jeon Apr 2007 S
D541578 Jeon May 2007 S
7212955 Kirshenbau et al. May 2007 B2
7213743 Carlson et al. May 2007 B2
7215420 Gellerman et al. May 2007 B2
7237400 Owada Jul 2007 B2
7256699 Tethrake et al. Aug 2007 B2
7275863 Akers et al. Oct 2007 B1
7295889 Lahteenmaki Nov 2007 B2
D560960 Hillmann et al. Feb 2008 S
7357316 Heckel et al. Apr 2008 B2
7359802 Lewis et al. Apr 2008 B1
7372003 Kates May 2008 B2
7396550 Angel Jul 2008 B2
7403855 Fuessley et al. Jul 2008 B2
7440901 Dlott et al. Oct 2008 B1
7474965 Johnson et al. Jan 2009 B2
7571676 Nelson et al. Aug 2009 B2
7620531 Johnson Nov 2009 B1
D607264 Lee Jan 2010 S
7681383 Argetsinger et al. Mar 2010 B2
D618488 Knochner Jun 2010 S
7743591 Meier et al. Jun 2010 B2
7797204 Balent Sep 2010 B2
7836876 Schellenberg Nov 2010 B2
7840359 Hsiung et al. Nov 2010 B2
7854108 Koselka et al. Dec 2010 B2
D633326 Shin et al. Mar 2011 S
7951079 Moore May 2011 B1
7957850 Anderson Jun 2011 B2
7996134 Roberts Aug 2011 B2
8009048 Hyde et al. Aug 2011 B2
8033237 Havens et al. Oct 2011 B2
8082809 Luellen et al. Dec 2011 B2
D654299 Benold Feb 2012 S
8112303 Eglen et al. Feb 2012 B2
D657607 Ohmae et al. Apr 2012 S
8193474 Harris Jun 2012 B2
D665220 Ohmae et al. Aug 2012 S
8285593 Bhatt et al. Oct 2012 B2
8314701 Grieco et al. Nov 2012 B2
D673001 Becze et al. Dec 2012 S
8393137 Crosby Mar 2013 B1
8403215 Aihara et al. Mar 2013 B2
8490862 Minvielle Jul 2013 B1
8626796 McBride et al. Jan 2014 B2
8631050 Gayle Jan 2014 B1
D702482 Davis et al. Apr 2014 S
8796510 Heard et al. Aug 2014 B2
9016193 Minvielle Apr 2015 B2
10790062 Minvielle Sep 2020 B2
20020004749 Froseth et al. Jan 2002 A1
20020011567 Ozanich Jan 2002 A1
20020040564 Killingbeck et al. Apr 2002 A1
20020059175 Nakano May 2002 A1
20020091593 Fowler Jul 2002 A1
20020106432 Yamagata et al. Aug 2002 A1
20020125313 Broff Sep 2002 A1
20020168456 Robbins Nov 2002 A1
20030006281 Thomas et al. Jan 2003 A1
20030027161 Bejanin et al. Feb 2003 A1
20030099157 Quine May 2003 A1
20030136960 Goodman et al. Jul 2003 A1
20030163354 Shamoun Aug 2003 A1
20030165602 Garwood Sep 2003 A1
20030185937 Garwood Oct 2003 A1
20030185948 Garwood Oct 2003 A1
20030227392 Ebert et al. Dec 2003 A1
20040045202 Arrendale, III et al. Mar 2004 A1
20040083201 Sholl et al. Apr 2004 A1
20040100380 Lindsay et al. May 2004 A1
20040130714 Gellerman et al. Jul 2004 A1
20040147038 Lewis et al. Jul 2004 A1
20040152131 Hsieh Aug 2004 A1
20040167724 Federer et al. Aug 2004 A1
20040191382 Cooper et al. Sep 2004 A1
20040201454 Waterhouse et al. Oct 2004 A1
20040215402 Hsiung et al. Oct 2004 A1
20040267098 Moore Dec 2004 A1
20050001728 Appelt et al. Jan 2005 A1
20050027726 Guivarch et al. Feb 2005 A1
20050049920 Day et al. Mar 2005 A1
20050075900 Arguimbau, III Apr 2005 A1
20050079491 Donne-Gousse et al. Apr 2005 A1
20050168325 Lievre et al. Aug 2005 A1
20050171738 Kadaba Aug 2005 A1
20050247213 Slilaty Nov 2005 A1
20050248455 Pope et al. Nov 2005 A1
20050251449 Pape et al. Nov 2005 A1
20060015371 Knauf et al. Jan 2006 A1
20060061454 Debord et al. Mar 2006 A1
20060062835 Weil Mar 2006 A1
20060073483 White et al. Apr 2006 A1
20060078658 Owens et al. Apr 2006 A1
20060099310 Koekkoek May 2006 A1
20060130498 Joshi et al. Jun 2006 A1
20060172048 Etchells et al. Aug 2006 A1
20060178841 Fernandez Aug 2006 A1
20060200480 Harris et al. Sep 2006 A1
20060228428 Kang et al. Oct 2006 A1
20060240174 Jung et al. Oct 2006 A1
20060256132 Shin et al. Nov 2006 A1
20060277064 Cannata Dec 2006 A1
20060286211 Lang Dec 2006 A1
20070016852 Kim et al. Jan 2007 A1
20070036840 Tuduri et al. Feb 2007 A1
20070055551 Szabo Mar 2007 A1
20070055573 Grell Mar 2007 A1
20070059402 Barmore Mar 2007 A1
20070118394 Cahoon May 2007 A1
20070191689 Elitok Aug 2007 A1
20070209656 Lee Sep 2007 A1
20070258048 Pitchers Nov 2007 A1
20070269557 Culver et al. Nov 2007 A1
20070294129 Froseth et al. Dec 2007 A1
20070298147 Haus Dec 2007 A1
20080058783 Altshuler et al. Mar 2008 A1
20080059342 Culver et al. Mar 2008 A1
20080077455 Gilboa Mar 2008 A1
20080083825 Yang et al. Apr 2008 A1
20080091705 McBride et al. Apr 2008 A1
20080158543 Puskas et al. Jul 2008 A1
20080171120 Willett Jul 2008 A1
20080183588 Agrawal et al. Jul 2008 A1
20080186175 Stern Aug 2008 A1
20080195456 Fitzpatrick et al. Aug 2008 A1
20080254449 Plante Oct 2008 A1
20080275309 Stivoric et al. Nov 2008 A1
20090029014 Walter et al. Jan 2009 A1
20090065570 Peters et al. Mar 2009 A1
20090070040 Rabinovitch et al. Mar 2009 A1
20090099873 Kurple Apr 2009 A1
20090157460 Narayanaswamy Jun 2009 A1
20090177068 Stivoric et al. Jul 2009 A1
20090202700 Bunke et al. Aug 2009 A1
20090208607 Bunke et al. Aug 2009 A1
20090232958 Samoto et al. Sep 2009 A1
20090275002 Hoggle Nov 2009 A1
20090276912 Sherman et al. Nov 2009 A1
20090278685 Potyrailo et al. Nov 2009 A1
20090282004 Williams Nov 2009 A1
20090283517 Mackay et al. Nov 2009 A1
20090286212 Gordon Nov 2009 A1
20090288606 Zimmerman Nov 2009 A1
20100055653 Miller-Kovach et al. Mar 2010 A1
20100076585 Mayer et al. Mar 2010 A1
20100097193 Tang Apr 2010 A1
20100102959 Ashrafzadeh et al. Apr 2010 A1
20100106625 McCoy Apr 2010 A1
20100106626 Ashrafzadeh et al. Apr 2010 A1
20100117819 Murray May 2010 A1
20100119659 Ovadia et al. May 2010 A1
20100135211 Park et al. Jun 2010 A1
20100152687 Carlozzi Jun 2010 A1
20100175886 Bohacs et al. Jul 2010 A1
20100198605 Saulet Aug 2010 A1
20100216098 Montgomery Aug 2010 A1
20100216136 B.Che Man et al. Aug 2010 A1
20100218044 Roblett et al. Aug 2010 A1
20100228160 Schweizer Sep 2010 A1
20100268658 Medo et al. Oct 2010 A1
20100280895 Mottola Nov 2010 A1
20100287101 Ishikawa et al. Nov 2010 A1
20110029364 Roeding et al. Feb 2011 A1
20110082711 Poeze et al. Apr 2011 A1
20110124096 Philipak et al. May 2011 A1
20110197827 Chang Aug 2011 A1
20110204137 Scharfenort et al. Aug 2011 A1
20110217205 Peeters Sep 2011 A1
20110236862 Culver et al. Sep 2011 A1
20110258130 Grabiner et al. Oct 2011 A1
20110259960 Baarman et al. Oct 2011 A1
20110301441 Bandic et al. Dec 2011 A1
20110302050 Kildevaeld Dec 2011 A1
20110318717 Adamowicz Dec 2011 A1
20120004935 Winkler Jan 2012 A1
20120005105 Beier et al. Jan 2012 A1
20120009550 Gayle Jan 2012 A1
20120016814 Evans Jan 2012 A1
20120027897 Innocenzi Feb 2012 A1
20120052162 Goulart Mar 2012 A1
20120055718 Chen Mar 2012 A1
20120083669 Abujbara Apr 2012 A1
20120085828 Ziegler Apr 2012 A1
20120085829 Ziegler Apr 2012 A1
20120105424 Lee et al. May 2012 A1
20120135455 Nerin De La Puerta et al. May 2012 A1
20120169469 Butler et al. Jul 2012 A1
20120173269 Omidi Jul 2012 A1
20120179665 Baarman et al. Jul 2012 A1
20120199643 Minnick et al. Aug 2012 A1
20120203572 Christensen Aug 2012 A1
20120216911 Bartholomew et al. Aug 2012 A1
20120251663 Prins et al. Oct 2012 A1
20120274470 Sandvick Nov 2012 A1
20120290051 Boyden et al. Nov 2012 A1
20120315609 Miller-Kovach et al. Dec 2012 A1
20120321759 Marinkovich et al. Dec 2012 A1
20130033031 Key Feb 2013 A1
20130048736 Wien Feb 2013 A1
20130048737 Baym et al. Feb 2013 A1
20130052616 Silverstein et al. Feb 2013 A1
20130080784 Oertli Mar 2013 A1
20130105565 Kamprath May 2013 A1
20130117310 Chai et al. May 2013 A1
20130209615 Lee et al. Aug 2013 A1
20130231711 Kaib Sep 2013 A1
20130269297 Minvielle Oct 2013 A1
20130269454 Minvielle Oct 2013 A1
20130269537 Minvielle Oct 2013 A1
20130269538 Minvielle Oct 2013 A1
20130269542 Minvielle Oct 2013 A1
20130269543 Minvielle Oct 2013 A1
20130269544 Minvielle Oct 2013 A1
20130270337 Minvielle Oct 2013 A1
20130273217 Minvielle Oct 2013 A1
20130273222 Minvielle Oct 2013 A1
20130273507 Minvielle Oct 2013 A1
20130273509 Mutti Oct 2013 A1
20130275037 Minvielle Oct 2013 A1
20130275318 Minvielle Oct 2013 A1
20130275342 Minvielle Oct 2013 A1
20130275343 Minvielle Oct 2013 A1
20130275370 Minvielle Oct 2013 A1
20130275426 Minvielle Oct 2013 A1
20130275439 Minvielle Oct 2013 A1
20130275460 Minvielle Oct 2013 A1
20130275477 Minvielle Oct 2013 A1
20130276644 Minvielle Oct 2013 A1
20130290364 Minvielle Oct 2013 A1
20130295532 Minvielle Nov 2013 A1
20130297642 Minvielle Nov 2013 A1
20130309138 Minvielle Nov 2013 A1
20130309636 Minvielle Nov 2013 A1
20130309637 Minvielle Nov 2013 A1
20130310955 Minvielle Nov 2013 A1
20130332195 Galuten Dec 2013 A1
20130337516 Herrema Dec 2013 A1
20140018636 Contant et al. Jan 2014 A1
20140037805 Minvielle Feb 2014 A1
20140038140 Minvielle Feb 2014 A1
20140041532 Minvielle Feb 2014 A1
20140041533 Minvielle Feb 2014 A1
20140061296 Minvielle Mar 2014 A1
20140069838 Minvielle Mar 2014 A1
20140191025 Minvielle Jul 2014 A1
20140214714 Minvielle Jul 2014 A1
20140236359 Minvielle Aug 2014 A1
20140290395 Minvielle Oct 2014 A1
20140290396 Minvielle Oct 2014 A1
20140364971 Minvielle Dec 2014 A1
20140364972 Minvielle Dec 2014 A1
20150012122 Minvielle Jan 2015 A1
20150017252 Garland et al. Jan 2015 A1
20150037764 Minvielle Feb 2015 A1
20150051841 Minvielle Feb 2015 A1
20150057773 Minvielle Feb 2015 A1
20150100462 Minvielle Apr 2015 A1
Foreign Referenced Citations (28)
Number Date Country
10 2005 040206 Feb 2007 DE
1 117 055 Jul 2001 EP
1 253 203 Oct 2002 EP
2 813 683 Mar 2002 FR
2 312 054 Oct 1997 GB
WO 9113304 Sep 1991 WO
WO 0206984 Jan 2002 WO
WO 0237375 May 2002 WO
WO 2007108906 Sep 2007 WO
WO 2008054231 May 2008 WO
WO 2013126579 Aug 2013 WO
WO 2013134325 Sep 2013 WO
WO 2013134544 Sep 2013 WO
WO 2013142218 Sep 2013 WO
WO 2013158571 Oct 2013 WO
WO 2013158572 Oct 2013 WO
WO 2013158576 Oct 2013 WO
WO 2013176800 Nov 2013 WO
WO 2013180925 Dec 2013 WO
WO 2014168844 Oct 2014 WO
WO 2014182566 Nov 2014 WO
WO 2014210531 Dec 2014 WO
WO 2015006351 Jan 2015 WO
WO 2015013030 Jan 2015 WO
WO 2015013031 Jan 2015 WO
WO 2015069325 May 2015 WO
WO 2015069950 May 2015 WO
WO 2015073569 May 2015 WO
Non-Patent Literature Citations (165)
Entry
Aernecke, M.J. et al., “Optical-fiber Arrays for Vapor Sensing”, Sensors and Actuators B: Chemical, Nov. 2009, vol. 142, Issue 2, pp. 464-469.
Anslyn, E.V., “Supramolecular Analytical Chemistry”, The Journal of Organic Chemistry, Feb. 2, 2007, vol. 72, No. 3, pp. 687-699.
Arora, P. et al., “An overview of transducers as platform for the rapid detection of foodborne pathogens”, Appl. Microbial. Biotechnol., vol. 97, Issue 5, pp. 1829-1840, Jan. 18, 2013 (Published online).
“Automated Fruit Recognition” Fraunhofer, accessed online Nov. 13, 2014 and, available at http://www.iosb.fraunhofer.de/servlet/is/33328/.
Bell, S. et al., “Report on nutrient losses and gains factors used in European food composition databases”, Technical Report, Apr. 2006, 66 pages (Retrieved from the Internet on Mar. 2, 2015 at: http://www.eurofir.net).
Chaudhry, Q. et al., “Applications and Implications of Nanotechnologies for the Food Sector”, Food Additives and Contaminants: Part A, Mar. 2008, vol. 25, Issue 3, pp. 241-258.
Cheftel, J. Claude, “Food and Nutrition Labelling in the European Union”, Food Chemistry 93.3, Dec. 2005, pp. 531-550, retrieved on Mar. 10, 2013 from URL: <http://www.sciencedirect.com/science/article/pii/S0308814604008581>.
Chung, I-C. et al., “A Portable Electrochemical Sensor for Caffeine and (−) Epigallocatechin Gallate Based on Molecularly Imprinted Poly(ethylene-co-vinyl alcohol) Recognition Element”, J Nanosci Nanotechnol., vol. 11, No. 12, Dec. 2011, pp. 10633-10638.
“Cool runnings needed for fine wines,” AFP, Apr. 28, 2008, retrieved from internet URL http://www.google.com/hostednews/afp/article/ALeqM5hm5gRK3maWqEJppJOBObR71THV on Feb. 10, 14.
Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 26 Documentation and User Guide, U.S. Department of Agriculture Agricultural Research Service, Aug. 2013 (revised Nov. 2013), 136 pages, accessed on its website, at http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/SR26/sr26_doc.pdf.
De Vos, K. et al., “Multiplexed antibody detection with an array of silicon-on-insulator microring resonators”, IEEE, Photonics Journal, vol. 1, Issue 4, Oct. 2009, pp. 225-235.
Diller, K.R., “Stress Protein Expression Kinetics”, Annual Review of Biomedical Engineering, 2006, vol. 8, pp. 403-424.
Dorokhin, D. et al., “Imaging surface plasmon resonance for multiplex microassay sensing of mycotoxins”, Analytical and Bioanalytical Chemistry, vol. 400, Issue 9, published online Apr. 12, 2011, pp. 3005-3011.
Ebarvia, et al., “Biomimetic piezoelectric quartz sensor for caffeine based on a molecularly imprinted polymer”, Analytical and Bioanalytical Chemistry, vol. 378, Issue 5, Mar. 2004, published online Jan. 27, 2004, pp. 1331-1337.
Etherington, Darrell, “iCarte Turns the iPhone Into an RFID Reader,” Gigaom, Nov. 18, 2009 (downloaded Oct. 3, 2013, from URL http://gigaom.com/2009/11/18/icarte-turns-the-iphone-into-an-rfid-reader/).
Focke, M. et al., “Lab-on-a-Foil: microfluidics on thin and flexible films”, Lab on a Chip, vol. 10, Issue 11, published online Mar. 19, 2010, pp. 1365-1386.
Frankel, E.N., “Chemistry of Extra Virgin Olive Oil: Adulteration, Oxidative Stability, and Antioxidants”, Journal of Agricultural and Food Chemistry, 2010, vol. 58 (10), pp. 5991-6006.
Garcia-Gonzalez, D.L. et al., “Research in Olive Oil: Challenges for the Near Future”, Journal of Agricultural and Food Chemistry, 2010, vol. 58, Issue 24, pp. 12569-12577.
Gartia, M. et al., “Colorimetric plasmon resonance imaging using nano lycurgus cup arrays”, Advanced Optical Materials, vol. 1, Issue 1, Jan. 2013, pp. 68-76.
Ghasemi-Varnamkhasti, M. et al., “Biomimetric-based odor and taste sensing systems to food quality and safety characterization: An overview on basic principles and recent achievements”, Journal of Food Engineering, vol. 100, Issue 3, Oct. 2010, pp. 377-387.
Grate, J.W., “Acoustic Wave Microsensor Arrays for Vapor Sensing”, Chemical Reviews, 2000, vol. 100, No. 7, pp. 2627-2647.
Greenfield, H. et al., “Food composition data,” FAO, 2003 (“FAO”).
Hayano-Kanashiro, C. et al., “Analysis of Gene Expression and Physiological Responses in Three Mexican Maize Landraces Under Drought Stress and Recovery Irrigation”, PLOS One, Oct. 2009, vol. 4, Issue 10, e7531, pp. 1-19.
Hierlemann, A. et al., “Higher-Order Chemical Sensing”, Chemical Reviews, 2008, vol. 108, No. 2, pp. 563-613.
Hoffman, B., “IBM Announces Food Traceability Technology”, Food+Tech Connect, Oct. 19, 2011, 2 pages.
Hsieh, M-D. et al., “Limits of Recognition for Simple Vapor Mixtures Determined with a Microsensor Array”, Analytical Chemistry, Apr. 1, 2004, vol. 76, No. 7, pp. 1885-1895.
Huang, et al., “A passive radiofrequency pH sensing tag for wireless food quality monitoring”, lEEE Sensors Journal, vol. 12, Issue 3, Mar. 2012, pp. 487-495.
Hugh, J. “Recipe Calculations: Where Do We Stand?”, Proceedings of the 12th National Nutrient Databank Conference, Houston, Texas, Apr. 12, 1987, pp. 135-139 (Retrieved from the Internet on Feb. 13, 2015 at http://www.nutrientdataconf.org/PastConf/NDBC12/5-2_Joseph.pdf).
James, D. et al., “Chemical Sensors for Electronic Nose Systems”, Microchimica Acta, Feb. 2005, vol. 149, pp. 1-17.
Janata, J. et al., “Conducting Polymers in Electronic Chemical Sensors”, Nature Materials, Jan. 2003, vol. 2, pp. 19-24.
Kaume, L. et al., “The Blackberry Fruit: A Review on Its Composition and Chemistry, Metabolism and Bioavailability, and Health Benefits”, Journal of Agricultural and Food Chemistry, 2012, vol. 60 (23), pp. 5716-5727.
Kharif, Olga, “Janne Haverinen: Mapping the Great Indoors”, Bloomberg BusinessWeek, May 9, 2012, retrieved from URL: <http://www.businessweek.com/articles/2012-08-09/janne-haverinen-mapping-the-great-indoors on Apr. 12, 2013>.
Kingsmore, S.F., “Multiplexed Protein Measurement: Technologies and Applications of Protein and Antibody Arrays”, Nature Reviews Drug Discovery, Apr. 2006, vol. 5, pp. 310-321.
Kumar, A. et al., “Study of fiber optic sugar sensor”, Pramana, vol. 67, Issue 2, Aug. 2006, pp. 383-387.
Kwon, H. et al., “Fluorescent DNAs printed on paper: Sensing food spoilage and ripening in the vapor phase”, Chemical Science, vol. 3, Issue 8, published online May 17, 2012, pp. 2542-2549.
Lago, F.C. et al., “FINS Methodology to Identification of Sardines and Related Species in Canned Products and Detection of Mixture by Means of SNP Analysis Systems”, European Food Research and Technology, Jun. 2011, vol. 232(6), pp. 1077-1086.
Lago, F.C. et al., “Genetic Identification of Horse Mackerel and Related Species in Seafood Products by Means of Forensically Informative Nucleotide Sequencing Methodology”, Journal of Agricultural and Food Chemistry, 2011, vol. 59 (6), pp. 2223-2228.
Lewis, N.S., “Comparisons Between Mammalian and Artificial Olfaction Based on Arrays of Carbon Black-Polymer Composite Vapor Detectors”, Accounts of Chemical Research, 2004, vol. 37, No. 9, pp. 663-672.
Lin, et al., “Multiplex fiber-optic biosensor using multiple particle plasmon resonances”, International Society for Optics and Photonics: Third Asia Pacific Optical Sensors Conference, vol. 8351, Sydney, Australia, Jan. 31, 2012, pp. 83512S1-83512S7.
Martins-Lopes, P. et al., “DNA Markers for Portuguese Olive Oil Fingerprinting”, Journal of Agricultural and Food Chemistry, 2008, vol. 56 (24), pp. 11786-11791.
Montealegre, C. et al., “Traceability Markers to the Botanical Origin in Olive Oils”, Journal of Agricultural and Food Chemistry, 2010, vol. 58, Issue 1, pp. 28-38.
Montesinos, E., “Plant-associated Microorganisms: a View from the Scope of Microbiology”, International Microbiology, 2003, vol. 6, Issue 4, pp. 221-223.
Ni, et al., “Gene Expression and Regulation of Higher Plants Under Soil Water Stress”, Current Genomics, Jun. 2009, vol. 10, pp. 269-280.
Perks, B., “Fighting Food Fraud with Science”, Text Reproduced from Chemistry World, 2007, vol. 4, Issue 9, pp. 48-52.
Preechaburana, et al., “Surface Plasmon Resonance Chemical Sensing on Cell Phones”, Angewandte Chemie International Edition, vol. 51, Issue 46, pp. 11585-11588, first published online Oct. 16, 2012.
Primrose, S. et al., “Food Forensics: Methods for Determining the Authenticity of Foodstuffs”, Trends in Food Science & Technology, Dec. 2010, vol. 2, Issue 12, pp. 582-590.
Rashidi, L. et al., “The Applications of Nanotechnology in Food Industry”, Critical Reviews in Food Science and Nutrition, 2011, vol. 51, Issue 8, pp. 723-730.
Ricci, F. et al., “A review on novel developments and applications of immunosensors in food analysis”, Analytica Chimica Acta, vol. 605, Issue 2, Dec. 19, 2007, pp. 111-129.
Roche, PJR, et al., “A Camera Phone Localised Surface Plasmon Biosensing Platform Towards Low-Cost Label-Free Diagnostic Testing”, Journal of Sensors, vol. 2011, 2011, 7 pages.
Röck, F. et al., “Electronic Nose: Current Status and Future Trends”, Chemical Reviews, 2008, vol. 108, No. 2, pp. 705-725.
Scampicchio, M. et al., “Optical nanoprobes based on gold nanoparticles for sugar sensing”, Nanotechnology, vol. 20, Issue 13, Apr. 1, 2009, 5 pages.
Sinclair, D.A. et al., “Unlocking the Secrets of Longevity Genes”, Scientific AmErikan, Mar. 2006, vol. 294, Issue 3, pp. 48-57.
“SIRA Technologies Food Sentinal System Thermal Barcode for Packaging”, Sustainable is Good: Lifestyle and Design Blog, Mar. 4, 2009, 2 pages.
Srinivas, P.R. et al., “Nanotechnology Research: Applications in Nutritional Sciences”, The Journal of Nutrition, Symposium-Nanotechnology Research: Applications in Nutritional Sciences, Jan. 2010, vol. 140, No. 1, pp. 119-124.
Staggers, N. et al., “Nanotechnology: The Coming Revolution and its Implications for Consumers, Clinicians, and Informatics”, Nursing Outlook, Sep.-Oct. 2008, vol. 56, No. 5, pp. 268-274.
Suslick, B.A. et al., “Discrimination of Complex Mixtures by a Colorimetric Sensor Array: Coffee Aromas”, Analytical Chemistry, Mar. 1, 2010, vol. 82, No. 5, pp. 2067-2073.
Thakur, M. et al., “Food Traceability, R&D in Norway”, Food Technology, Apr. 2012, p. 42-46.
Valero, C., et al., “Design Guidelines for a Quality Assessment System of Fresh Fruits in Fruit Centers and Hypermarkets”, ABSTRACT, Agriculture Engineering International: the CIGR Journal of Scientific Research and Development, vol. II, Aug. 2000, 20 pages. Available online at http://dspace.library.cornell.edu/retrieve/237/, accessed Feb. 19, 2015.
Walt, D.R., “Electronic Noses: Wake Up and Smell the Coffee”, Analytical Chemistry, Feb. 1, 2005, vol. 77, Issue 3, p. A-45.
Wolfbeis, O.S., “Materials for Fluorescence-based Optical Chemical Sensors”, Journal of Materials Chemistry, 2005, vol. 15, pp. 2657-2669.
Zerebecki, R.A. et al., “Temperature Tolerance and Stress Proteins as Mechanisms of Invasive Species Success”, PLOS One, Apr. 2011, vol. 6, Issue 4, e14806, pp. 1-7.
Zhu, H. et al., “Quantum dot enabled detection of Escherichia coli using a cell-phone”, ANALYST, vol. 137, Issue 11, Jun. 7, 2012, pp. 2541-2544.
Zou, M-Q et al., “Rapid Authentication of Olive Oil Adulteration by Raman Spectrometry”, Journal of Agricultural and Food Chemistry, 2009, vol. 57, Issue 14, pp. 6001-6006.
Office Action in U.S. Appl. No. 13/485,850, dated May 9, 2013.
Office Action in U.S. Appl. No. 13/485,850, dated Sep. 30, 2013.
Office Action in U.S. Appl. No. 13/485,850, dated Mar. 20, 2014.
Office Action in U.S. Appl. No. 13/485,850, dated Sep. 29, 2014.
Office Action in U.S. Appl. No. 13/485,850, dated Mar. 19, 2015.
Office Action in U.S. Appl. No. 13/485,863, dated Feb. 9, 2015.
Office Action in U.S. Appl. No. 13/485,878, dated Oct. 24, 2013.
Office Action in U.S. Appl. No. 13/485,878, dated Jun. 5, 2014.
Advisory Action in U.S. Appl. No. 13/485,878, dated Sep. 16, 2014.
Office Action in U.S. Appl. No. 13/485,883, dated Feb. 3, 2015.
Office Action in U.S. Appl. No. 13/485,883, dated May 20, 2015.
Office Action in U.S. Appl. No. 13/485,900, dated Feb. 3, 2015.
Office Action in U.S. Appl. No. 13/560,965, dated Feb. 1, 2013.
Notice of Allowance in U.S. Appl. No. 13/560,965, dated Mar. 22, 2013.
Office Action in U.S. Appl. No. 13/602,040, dated Oct. 23, 2013.
Office Action in U.S. Appl. No. 13/602,040, dated Jul. 17, 2014.
Office Action in U.S. Appl. No. 13/685,575, dated May 6, 2013.
Office Action in U.S. Appl. No. 13/685,575, dated Oct. 24, 2013.
Office Action in U.S. Appl. No. 13/685,575, dated Oct. 27, 2014.
Office Action in U.S. Appl. No. 13/685,575, dated May 5, 2015.
Office Action in U.S. Appl. No. 13/684,113, dated Dec. 15, 2014.
Office Action in U.S. Appl. No. 13/729,548, dated Dec. 2, 2014.
Office Action in U.S. Appl. No. 13/732,050, dated Oct. 24, 2013.
Office Action in U.S. Appl. No. 13/732,050, dated Apr. 10, 2014.
Office Action in U.S. Appl. No. 13/750,804, dated Mar. 12, 2013.
Notice of Allowance in U.S. Appl. No. 13/750,804, dated May 31, 2013.
Office Action in U.S. Appl. No. 13/771,004, dated May 15, 2013.
Office Action in U.S. Appl. No. 13/771,004, dated Jul. 8, 2013.
Office Action in U.S. Appl. No. 13/771,004, dated Apr. 4, 2014.
Office Action in U.S. Appl. No. 13/771,004, dated Mar. 10, 2015.
Office Action in U.S. Appl. No. 13/900,426, dated Aug. 8, 2013.
Notice of Allowance in U.S. Appl. No. 13/900,426, dated Dec. 16, 2013.
Office Action in U.S. Appl. No. 13/861,300 dated Feb. 24, 2015.
Office Action in U.S. Appl. No. 13/888,353, dated May 1, 2014.
Office Action in U.S. Appl. No. 13/888,353, dated Oct. 1, 2014.
Office Action in U.S. Appl. No. 13/888,353, dated Mar. 26, 2015.
Office Action in U.S. Appl. No. 13/921,078, dated Nov. 4, 2014.
Notice of Allowance in U.S. Appl. No. 13/921,078, dated Apr. 1, 2015.
Office Action in U.S. Appl. No. 13/931,733, dated Nov. 6, 2014.
Office Action in U.S. Appl. No. 13/931,733, dated Mar. 10, 2015.
Notice of Allowance in U.S. Appl. No. 13/931,733, dated Jun. 11, 2015.
Office Action in U.S. Appl. No. 13/931,744, dated Aug. 20, 2013.
Notice of Allowance in U.S. Appl. No. 13/931,744, dated Feb. 28, 2014.
Office Action in U.S. Appl. No. 13/937,167, dated Oct. 28, 2013.
Office Action in U.S. Appl. No. 13/937,167, dated Apr. 14, 2014.
Office Action in U.S. Appl. No. 13/948,004, dated Oct. 24, 2013.
Office Action in U.S. Appl. No. 13/948,004, dated Jun. 11, 2014.
Office Action in U.S. Appl. No. 14/044,851, dated Jan. 5, 2015.
Notice of Allowance in U.S. Appl. No. 14/044,851, dated Mar. 31, 2015.
Office Action in U.S. Appl. No. 14/047,817, dated Nov. 29, 2013.
Notice of Allowance in U.S. Appl. No. 14/047,817, dated Apr. 14, 2014.
Office Action in U.S. Appl. No. 14/059,441, dated Feb. 11, 2014.
Office Action in U.S. Appl. No. 14/059,441, dated Jul. 10, 2014.
Notice of Allowance in U.S. Appl. No. 14/059,441, dated Jan. 5, 2015.
Office Action in U.S. Appl. No. 14/074,664, dated Jan. 8, 2014.
Notice of Allowance in U.S. Appl. No. 14/074,664, dated Jun. 2, 2014.
Office Action in U.S. Appl. No. 14/137,963, dated Aug. 5, 2014.
Notice of Allowance in U.S. Appl. No. 14/137,963, dated Jan. 28, 2015.
Office Action in U.S. Appl. No. 14/304,671, dated Feb. 4, 2015.
Office Action in U.S. Appl. No. 14/306,111, dated Nov. 13, 2014.
Notice of Allowance in U.S. Appl. No. 14/306,111, dated Mar. 17, 2015.
Office Action in U.S. Appl. No. 29/497,888, dated Nov. 19, 2014.
Office Action in U.S. Appl. No. 13/485,866, dated May 7, 2015.
Office Action in U.S. Appl. No. 13/485,916, dated Mar. 27, 2015.
Office Action in U.S. Appl. No. 13/646,632, dated Mar. 26, 2015.
Office Action in U.S. Appl. No. 14/203,353, dated Mar. 31, 2015.
Office Action in U.S. Appl. No. 14/260,115, dated Apr. 16, 2015.
Office Action in U.S. Appl. No. 14/466,805, dated Apr. 13, 2015.
Office Action in U.S. Appl. No. 14/286,627, dated Apr. 24, 2015.
Office Action in U.S. Appl. No. 14/466,824, dated May 7, 2015.
Office Action in U.S. Appl. No. 14/467,433, dated May 8, 2015.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/027148, dated Jun. 18, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/029219, dated Jun. 20, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/029686, dated May 13, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/031106, dated May 31, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/36666, dated Oct. 4, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/036668, dated Dec. 6, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/036670, dated Aug. 19, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/036673, dated Aug. 20, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2013/040445, dated Oct. 25, 2013.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/033084, dated Mar. 6, 2015.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/036570, dated Mar. 10, 2015.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/044696, dated Oct. 10, 2014.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/045796, dated Oct. 15, 2014.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/045798, dated Oct. 15, 2014.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/045807, dated Jan. 22, 2015.
PCT International Search Report and Written Opinion in International Application No. PCT/US14/59186, dated Dec. 22, 2014.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/064434, dated Feb. 20, 2015.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/044700, dated May 18, 2015.
PCT International Search Report and Written Opinion in International Application No. PCT/US2014/065281, dated Mar. 13, 2015.
Statement in accordance with the Notice from the European Patent Office, dated Oct. 1, 2007, concerning business methods.
Notice from the European Patent Office, dated Oct. 1, 2007, concerning business methods, Official Journal EPO, pp. 592-593.
Extended European Search Report in European Application No. 13731655.0, dated Feb. 24, 2014.
Communication Pursuant to Article 94(3) in European Application No. 13731655.0, dated Jan. 22, 2015.
Extended European Search Report in European Application No. 13757669.0, dated Jan. 31, 2014.
European Examination Report in European Application No. 13757669.0, dated Oct. 13, 2014.
Extended European Search Report in European Application No. 13751912.0, dated Feb. 25, 2015.
Office Action in U.S. Appl. No. 14/508,913, dated May 19, 2017.
Office Action in U.S. Appl. No. 14/508,913, dated Jan. 11, 2018.
Office Action in U.S. Appl. No. 14/508,913, dated Oct. 5, 2018.
Office Action in U.S. Appl. No. 14/508,913, dated Jul. 30, 2019.
Notice of Allowance in U.S. Appl. No. 14/508,913, dated May 28, 2020.
Related Publications (1)
Number Date Country
20210257101 A1 Aug 2021 US
Provisional Applications (1)
Number Date Country
61888451 Oct 2013 US
Divisions (1)
Number Date Country
Parent 14508913 Oct 2014 US
Child 17037259 US