Systems and methods for creating context-based personalized nutrition plans and recommendations

Abstract

A method for creating context-based personalized nutrition recommendations for reducing disease risk includes receiving an individual's genetic information, medical information, treatment goals, and lifestyle information. The individual's location is determined using a position sensor, and data associated with the individual's location, including real-time air quality data, is captured. Fitness data for the individual is collected using a wearable device. One or more micronutrients are identified for the individual based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data, and based on the real-time air quality data. Foods, oral supplements, topical therapeutics, inhaled nutritional therapeutics, intravenous nutritional therapy formulations, and intramuscular nutritional therapy formulations that provide the identified one or more micronutrients are identified, and one of these is recommended based on the cost and effectiveness of each.

Description

[Technical Field]

[0001] Related Applications This application is a continuation-in-part of U.S. Utility Application No. 17 / 876,352, filed July 28, 2022, which claims the benefit of U.S. Provisional Application No. 63 / 227,943, filed July 30, 2021. The disclosures of these utility and provisional applications are incorporated herein by reference in their entireties. This application also is a continuation-in-part of U.S. Utility Application No. 17 / 876,383, filed July 28, 2022, which claims the benefit of U.S. Provisional Application No. 63 / 227,952, filed July 30, 2021. The disclosures of these utility and provisional applications are incorporated herein by reference in their entireties. This application is also a continuation-in-part of U.S. Utility Application No. 17 / 880,920, filed August 4, 2022, which claims the benefit of U.S. Provisional Application No. 63 / 230,516, filed August 6, 2021. The disclosures of these utility and provisional applications are incorporated herein by reference in their entireties.

[0002] The present disclosure relates generally to nutrition plans and recommendations, and more particularly to systems and methods for creating context-based personalized nutrition plans and recommendations that account for an individual's genetic and other medical information, lifestyle, environment, and other contextual information. [Background technology]

[0003] Achieving and maintaining optimal health and proper functioning of the human body requires adequate nutrition and hydration, including the correct balance of nutrients, such as macronutrients (e.g., proteins, carbohydrates, and fats) and micronutrients (e.g., vitamins, minerals, and antioxidants). Maintaining nutrient intakes equal to an individual's nutrient needs supports normal body physiological function and thus helps prevent disease. However, modern approaches to medicine are rather reactive, with therapeutic interventions only occurring when disturbances to normal body physiological function have progressed sufficiently to cause symptoms. Indeed, good nutritional status is often sacrificed for convenience. As a result, the prevalence of chronic diseases is rapidly increasing. Despite global research efforts and new medications, such diseases continue to have a significant impact on individuals and society.

[0004] Further complicating these issues, each individual is unique and has a different genetic makeup, lifestyle, culture, environment, and other circumstances. Thus, the nutrient needs of one person are not necessarily the same as another, and what is beneficial to one person may be less useful or even harmful to another. However, most individuals are unaware of how their unique circumstances (e.g., their genetic makeup, their culture, their environment, etc.) affect their nutritional and other health choices. Furthermore, while there are various means for obtaining nutrients (e.g., food intake, oral supplements, topical supplements or therapeutics, intravenous ("IV") nutritional therapy, and intramuscular ("IM") nutritional therapy), the availability of each means or options within each means may vary from person to person depending on location, culture, economic situation, or other factors. Summary of the Invention

[0005] An aspect of the present disclosure relates to a method for generating context-based personalized nutrition recommendations. In some embodiments, the method includes receiving genetic information, medical information, and treatment goals for an individual. In some embodiments, the genetic information is determined by genetic testing. In some embodiments, the method includes receiving lifestyle information about the individual. In some embodiments, the lifestyle information includes information about the individual's physical activity, mental activity, occupation, social network, economic security, culture, habits, and preferences. In some embodiments, the method includes determining a location of the individual using a position sensor. In some embodiments, the method includes capturing data associated with the individual's location from the position sensor. In some embodiments, the data includes real-time air quality data. In some embodiments, the method includes collecting fitness data for the individual using a wearable device. In some embodiments, the method includes identifying one or more micronutrients for the individual based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data, and based on the real-time air quality data associated with the individual's location. In some embodiments, the method includes identifying at least two of a food, an oral supplement, a topical therapeutic, an inhaled nutritional therapy, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation that provide the identified one or more micronutrients; and recommending one of the identified at least two of the food, the oral supplement, the topical therapeutic, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation based on a cost of each of the identified at least two of the food, the oral supplement, the topical therapeutic, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation, an individual's financial stability, and an effectiveness of each of the at least two of the food, the oral supplement, the topical therapeutic, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation in providing the identified one or more micronutrients.

[0006] Particular implementations may include one or more of the following features. In some embodiments, the recommending is performed by a first application on the electronic device, and the receiving of lifestyle information includes capturing data associated with a second application on the electronic device. In some embodiments, the data associated with the individual's location includes available options for foods, oral supplements, topical therapeutics, inhaled nutritional therapeutics, intravenous nutritional therapy formulations, and intramuscular nutritional therapy formulations at the individual's location. In some embodiments, the method also includes receiving a recommendation request from the individual. In some embodiments, the method also includes developing a nutritional plan based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data. In some embodiments, the method also includes adjusting the nutritional plan based on real-time air quality data associated with the individual's location. In some embodiments, the method also includes adjusting the nutritional plan based on the individual's updated medical information, treatment goals, or lifestyle information.

[0007] Aspects of the present disclosure relate to a system for generating context-based personalized nutrition recommendations. In some embodiments, the system includes a genetic test configured to determine an individual's genetic information. In some embodiments, the system includes an electronic device configured to receive the individual's genetic information, as well as the individual's medical information, treatment goals, and lifestyle information. In some embodiments, the system includes a plurality of sensors in communication with the electronic device. In some embodiments, the plurality of sensors include a position sensor, an accelerometer, and a heart rate monitor. In some embodiments, the electronic device is configured to determine real-time air quality data based on location data from the position sensor. In some embodiments, the electronic device is configured to determine the individual's fitness data based on movement data from the accelerometer and heart rate data from the heart rate monitor. In some embodiments, the system includes a server including a food database, an oral supplement database, a topical therapeutic agent database, an inhaled nutritional therapy database, an intravenous nutritional therapy database, an intramuscular nutritional therapy database, and a mapping of the genetic information, medical information, treatment goals, lifestyle information, air quality data, and fitness data to one or more micronutrients. In some embodiments, the server is in communication with the electronic device. In some embodiments, the system is configured to use the mapping to identify one or more micronutrients for the individual based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data, and based on the real-time air quality data. In some embodiments, the system is configured to identify at least two of a food from a food database, an oral supplement from an oral supplement database, a topical therapeutic from a topical therapeutic database, an inhaled nutritional therapy from an inhaled nutritional therapy database, an intravenous nutritional therapy formulation from an intravenous nutritional therapy database, and an intramuscular nutritional therapy formulation from an intramuscular nutritional therapy database, that provide the identified one or more micronutrients.In some embodiments, the system is configured to recommend one of at least two of the food, oral supplement, topical therapeutic, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation based on the cost and effectiveness of each of the food, oral supplement, topical therapeutic, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation.

[0008] Particular implementations may include one or more of the following features: In some embodiments, the server includes a plurality of servers; In some embodiments, at least one of the plurality of sensors is disposed within the electronic device; In some embodiments, at least one of the plurality of sensors is disposed within a wearable device that communicates with the electronic device; In some embodiments, the electronic device is configured to receive a recommendation request from the individual; In some embodiments, the system is configured to develop a nutrition plan based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data; In some embodiments, the electronic device is a mobile device.

[0009] Aspects of the present disclosure relate to methods for generating context-based personalized nutrition recommendations. In some embodiments, the method includes determining an individual's genetic information using a genetic test. In some embodiments, the method includes receiving the individual's medical information, treatment goals, and lifestyle information. In some embodiments, the method includes mapping the individual's genetic information, medical information, treatment goals, and lifestyle information to one or more micronutrients. In some embodiments, the method includes identifying at least one of a food, an oral supplement, a topical therapeutic, an inhaled nutritional therapy, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation, each of which provides one or more micronutrients. In some embodiments, the method includes recommending at least one of a food, an oral supplement, a topical therapeutic, an inhaled nutritional therapy, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation based on the cost and effectiveness of each of the at least one of the food, the oral supplement, the topical therapeutic, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation. In some embodiments, the method includes receiving feedback regarding the effectiveness of the recommended at least one of food, oral supplement, topical therapeutic, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation (after the individual receives the recommended at least one of food, oral supplement, topical therapeutic, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation). In some embodiments, the method includes making future recommendations for the individual and other individuals based on the feedback.

[0010] Particular implementations may include one or more of the following features: In some embodiments, the lifestyle information includes information about the individual's physical activity, mental activity, occupation, social network, financial security, culture, habits, and preferences. In some embodiments, the method also includes receiving a recommendation request from the individual. In some embodiments, the method also includes developing a nutrition plan based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data. In some embodiments, the method also includes adjusting the nutrition plan based on real-time air quality data associated with the individual's location. In some embodiments, the method also includes adjusting the nutrition plan based on the individual's updated medical information, treatment goals, or lifestyle information.

[0011] These and other aspects, features, uses, and advantages will become apparent to those skilled in the art from the specification, drawings, and claims. Unless otherwise specified, it is intended that the words and phrases in this specification and claims be given their plain, ordinary, and accustomed meanings to those of ordinary skill in the applicable art. The inventor fully recognizes that he can be his own lexicographer if necessary. As his own lexicographer, the inventor expressly chooses to use only the plain and ordinary meanings of terms in this specification and claims, unless otherwise specified, and further expressly sets forth "special" definitions of those terms and explains how those definitions differ from the plain and ordinary meanings. Absent such an express expression of an intent to apply a "special" definition, it is the inventor's intention and desire that the plain, ordinary meanings of the terms be applied in interpreting this specification and claims.

[0012] The inventors also recognize the normal guidelines of English grammar. Accordingly, where a noun, term, or phrase is intended to be further characterized, specified, or narrowed in any way, such noun, term, or phrase expressly includes additional adjectives, descriptive terms, or other modifiers in accordance with the normal guidelines of English grammar. Absent the use of such adjectives, descriptive terms, or modifiers, such noun, term, or phrase is intended to be given its plain and ordinary English meaning to one of ordinary skill in the applicable art, as set forth above.

[0013] Furthermore, the inventors are familiar with the criteria and application of the special provisions of 35 U.S.C. 112(f). Accordingly, the use of the words "function," "means," or "step" in the "Detailed Description" or "Description of the Drawings" or in the claims is not intended to indicate in any way an intention to invoke the special provisions of 35 U.S.C. 112(f) to define the invention. Conversely, if the provisions of 35 U.S.C. 112(f) are sought to be invoked to define the invention, the claims will specifically and explicitly recite the precise phrase "means for" or "step for," and will also recite the word "function" (i.e., specify "means for performing the function of [insert function]"), but will not recite any structure, material, or acts that support that function in such phrases. Thus, even when a claim recites "means for performing the function" or "steps for performing the function," it is the inventors' express intent not to invoke 35 U.S.C. 112(f) if any structure, material, or act supporting the means or step or performing the recited function is also recited in the claim. Furthermore, even when 35 U.S.C. 112(f) is invoked to define claimed aspects, these aspects are not limited solely to the particular structure, materials, or acts described in the preferred embodiments, but are additionally intended to include any and all structure, materials, or acts that perform the claimed function, or that are known, currently developed, or later-developed equivalent structures, materials, or acts for performing the claimed function, as described in alternative embodiments or configurations of the present disclosure.

[0014] These and other aspects, features, and advantages will be apparent to those skilled in the art from the specification, drawings, and claims.

[0015] The present disclosure is hereinafter described in conjunction with the accompanying drawings. [Brief explanation of the drawings]

[0016] [Figure 1] 1 illustrates a system for creating context-based personalized nutrition plans and recommendations, according to some embodiments. [Figure 2] 1 illustrates a system for creating context-based personalized nutrition plans and recommendations, according to some embodiments. [Figure 3] 1 illustrates an electronic device for use in a system for creating context-based personalized nutrition plans and recommendations, according to some embodiments. [Figure 4] FIG. 1 shows a schematic diagram of a computing device that can be used to practice or implement embodiments disclosed herein. DETAILED DESCRIPTION OF THE INVENTION

[0017] The present disclosure, its aspects, and implementations are not limited to the specific components, methods, or other examples disclosed herein. Many additional components, methods, and procedures known in the art are contemplated for use in specific implementations from the present disclosure. Thus, for example, while specific implementations are disclosed, such implementations and implementation components may include any components, models, types, materials, versions, quantities, etc. known in the art for such systems and implementation components that are consistent with the intended operation.

[0018] The words "exemplary" and "example," or various forms thereof, are used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as "exemplary" or "example" is not necessarily to be construed as preferred or advantageous over other aspects or designs. Furthermore, examples are provided merely for purposes of clarity and understanding and are not intended to in any way restrict or limit the disclosed subject matter or relevant portions of the present disclosure. It should be understood that numerous additional or alternative examples of varying scope could have been presented but have been omitted for the sake of brevity.

[0019] While the present disclosure includes several implementations in many different forms, the drawings show specific implementations, which will be described in detail with the understanding that the disclosure should be considered as illustrative of the principles of the disclosed methods and systems and is not intended to limit the broad aspects of the disclosed concepts to the implementations shown.

[0020] Achieving and maintaining optimal health and proper functioning of the human body requires adequate nutrition and hydration, including the correct balance of nutrients, such as macronutrients (e.g., proteins, carbohydrates, and fats) and micronutrients (e.g., vitamins, minerals, and antioxidants). Maintaining nutrient intakes equal to an individual's nutrient needs supports normal body physiological function and thus helps prevent disease. However, modern approaches to medicine are rather reactive, with therapeutic interventions only occurring when disturbances to normal body physiological function have progressed sufficiently to cause symptoms. Indeed, good nutritional status is often sacrificed for convenience. As a result, the prevalence of chronic diseases is rapidly increasing. Despite global research efforts and new medications, such diseases continue to have a significant impact on individuals and society.

[0021] Further complicating these issues, each individual has unique characteristics and a different genetic makeup, lifestyle, culture, environment, and other circumstances. Thus, the nutrient needs of one person are not necessarily the same as another, and what is beneficial to one person may be less useful or even harmful to another. However, most individuals are unaware of how their unique circumstances (e.g., their genetic makeup, their culture, their environment, etc.) affect their nutritional and other health choices. Furthermore, while there are various means for obtaining nutrients (e.g., food intake, oral supplements, topical supplements or treatments, intravenous ("IV") nutritional therapy, and intramuscular ("IM") nutritional therapy, etc.), the availability of each means or options within each means may vary depending on location, culture, economic situation, or other factors.

[0022] Improved systems and methods that account for an individual's unique situation are desirable. For example, a system that assists individuals in making nutritional, lifestyle, and health decisions based on their genetic data and other contextual information would reduce the impact of chronic and other diseases on both individuals and society. This disclosure describes systems and methods that receive contextual information about an individual (e.g., genetic information, medical information, treatment goals, lifestyle information, habits, stress, etc.). This contextual information determines each individual's nutrient needs, and the individual contextual information, collectively, can be considered determinants of nutrition. The disclosed systems and methods use the received contextual information to identify the micronutrients an individual needs (either micronutrients needed at a specific time or as part of an overall nutrition plan). Scientific literature and / or previous treatment results (collected from several users) can be used to map the contextual information to the appropriate micronutrients for any particular situation. Over time, this mapping becomes more accurate and specific as the system can determine how each factor and combination of factors affects an individual's nutrient needs.

[0023] In some embodiments, the disclosed systems and methods identify different routes or delivery methods for providing the identified micronutrients. These routes may include foods, oral supplements, intravenous nutritional therapy formulations, intramuscular nutritional therapy formulations, or topical supplements. After identifying options for delivering the identified micronutrients (e.g., which foods, which oral supplements, which nutritional therapy formulations, etc.), the system may recommend the optimal option for the individual based on several factors, such as cost, effectiveness, availability at the individual's location, and individual preferences. After the individual receives the micronutrients through the recommended route, feedback regarding the effectiveness of the micronutrients and the recommended route may be received. Feedback may be subjective (e.g., how the individual felt, whether symptoms were alleviated, etc.) and / or objective (e.g., vital signs, blood tests, etc.). This feedback may be used to update the mapping between contextual information and the micronutrients and / or the routes providing the micronutrients. Thus, as already mentioned above, over time the mapping becomes more accurate and more specific as the system creates a more complete picture of how each factor and combination of factors affects nutrient demand.

[0024] The systems and methods may be used in a variety of situations. For example, in some embodiments, the system may be used to receive specific one-time recommendations or may be used to receive long-term nutritional plans. As another example, the system may proactively provide recommendations or may provide recommendations only in response to a user inquiry. The system may also be used to determine actions to take for specific situations, such as while grocery shopping. Furthermore, the recommendations may be nutritional recommendations or other health-related or lifestyle-related recommendations (e.g., to increase physical activity). In some embodiments, the systems and methods disclosed herein may use any or all of the features or principles disclosed in U.S. Patent Application No. 17 / 876,352, filed July 28, 2022; U.S. Patent Application No. 17 / 876,383, filed July 28, 2022; and U.S. Patent Application No. 17 / 8880,920, filed August 4, 2022, the disclosures of each of which are incorporated herein by reference in their entirety.

[0025] An exemplary system (e.g., system 100) for creating context-based personalized nutrition plans and recommendations is shown, for example, in FIG. 1. System 100 may include one or more servers 110, electronic devices 120, a plurality of sensors 130 in communication with electronic devices 120, and a network 140 through which electronic devices 120 may communicate with one or more servers 110. In some embodiments, system 100 may include one or more wearable devices 160 (such as watches) configured to communicate with electronic devices 120 (e.g., via personal area network 125) and / or with server 110 via network 140. In some embodiments, system 100 may also include a genetic testing kit 150. Genetic testing kit 150 may be configured to determine an individual's genetic information.

[0026] In some embodiments, network 140 includes a wireless network, such as a wireless wide area network. For example, network 140 may be the Internet. Network 140 may enable electronic devices 120 to communicate with server 110. In some embodiments, network 140 also enables communication between multiple electronic devices 120 (see FIG. 2).

[0027] In some embodiments, one or more servers 110 include one or more databases that store, among other things, contextual information (e.g., nutritional determinants) for multiple users, information about nutrient sources / pathways, and mappings between micronutrients and nutritional determinants. In some embodiments, system 100 includes only one server 110. In some embodiments, different servers 110 are used for different databases. An example is shown in FIG. 1 . For example, one server 110 in system 100 can be server 210, which includes processor 220 and storage 230 that includes a food micronutrient database. The food micronutrient database includes food nutrient data for multiple foods. The multiple foods can include different foods and dishes from around the world. In some embodiments, these foods and dishes include home-cooked dishes or recipes, foods sold at grocery stores, ingredients for recipes, menu items from restaurants, or any other foods or dishes. Detailed information about each of these foods and dishes can be included in the food micronutrient database. For example, for each food item, the food nutrient data may include proximate substance data, mineral data, micronutrient data, vitamin fraction data, fatty acid composition data, and / or bioactive compound data. Thus, a complete picture of the nutrients obtained by consuming a particular food item is stored in the food micronutrient database. In some embodiments, the food nutrient data may be obtained from businesses (e.g., grocery stores, restaurants, producers, manufacturers, etc.) that provide various food items. As an alternative to storing this information, server 210 may be configured to access this data from other databases or otherwise pull this information from resources accessible via the Internet (network 140). In some embodiments, the food micronutrient database of server 210 may have any of the features of the food micronutrient database disclosed in U.S. Patent Application No. 17 / 876,383, filed July 28, 2022, which is incorporated herein by reference.

[0028] One server 110 in system 100 may be server 310 including a processor 320 and storage 330, which includes an oral supplement micronutrient database. While multiple databases for storing various nutrient, micronutrient, treatment, and other data are referenced within this disclosure, it will be understood that each of the various databases, while referred to as separate databases by name, may be part of one larger database, may be included in different subtables of the same database, or may simply be part of one or more databases with identifying data elements to distinguish between differently named database segments.

[0029] With that understanding, the oral supplement micronutrient database contains nutrient data for multiple oral supplements. A complete picture of the nutrients obtained by consuming a particular oral supplement is stored in the oral supplement micronutrient database. In some embodiments, the nutrient data is provided by the manufacturer or provider of each oral supplement. As an alternative to storing this information, the server 310 may be configured to access this data from other databases or otherwise pull this information from resources accessible via the Internet (network 140).

[0030] The inhalation nutrition therapy micronutrient database contains nutrient data for multiple inhalation therapies. A complete picture of the nutrients obtained by receiving a particular inhalation nutrition therapy is stored in the inhalation nutrition therapy micronutrient database. In some embodiments, the nutrient data is provided by the manufacturer or provider of each inhalation nutrition therapy. As an alternative to storing this information, the server 310 may be configured to access this data from other databases or otherwise pull this information from resources accessible via the Internet (network 140).

[0031] One server 110 in system 100 may be server 410, including a processor 420 and storage 430, where storage 430 includes an IV micronutrient database. The IV micronutrient database includes nutrient data for a plurality of IV formulations. The IV formulations may be existing formulations selected based on the micronutrient needs of an individual, as disclosed in U.S. patent application Ser. No. 17 / 876,352, filed July 28, 2022, which is incorporated herein by reference. In some embodiments, processor 420 may be used to develop new IV formulations (e.g., by modifying existing formulations, creating new formulations from scratch, etc.) based on the micronutrient needs of an individual, as disclosed in U.S. patent application Ser. No. 17 / 876,352, filed July 28, 2022, or U.S. patent application Ser. No. 17 / 880,920, filed August 4, 2022, which are incorporated herein by reference. The nutrient profile obtained by receiving a particular IV formulation is stored in an IV micronutrient database. In some embodiments, the nutrient data is provided by the manufacturer or provider of each IV formulation. As an alternative to storing this information, server 410 may be configured to access this data from other databases or otherwise pull this information from resources accessible via the Internet (network 140).

[0032] One server 110 in system 100 may be server 510, which includes processor 520 and storage 530. Server 510, in some embodiments, may be a third-party server associated with a different app or service on electronic device 120, such as a fitness tracking app or service. Storage 530 may include health and fitness information associated with the fitness tracking app or service. This is just one example. In other examples, server 510 may be associated with any other app or service related to any determinants of nutrition (additional determinants of nutrition are described below). Providing system 100 with access to server 510 may improve the functionality of system 100 and other systems and methods disclosed herein.

[0033] Other servers similar to those described above may also be included. For example, there may be a server 110 dedicated to a topical nutrient database or an inhaled nutrient database. As another example, there may be a server 110 dedicated to an IM micronutrient database (similar to an IV micronutrient database). Alternatively, any of the databases discussed herein may be combined into a single server 110.

[0034] In some embodiments, there may be a server 110 dedicated to a user library that stores a profile for each individual who uses system 100 (e.g., each recipient of foods, oral supplements, topical supplements, IV formulations, IM formulations, etc., based on using system 100). The user profile may include the user's genetic data, the user's medical data, the user's medical history, the user's personal treatment goals, lifestyle information, habits, stress, and other contextual information of the user. Thus, the profile may include and track any or all of the nutritional determinants discussed herein for that particular user. In some embodiments, the user may enter or update this data via their electronic device 120. In some embodiments, server 110 may retrieve this data from other apps or services associated with the user's electronic device and / or from server 510. In some embodiments, other users (e.g., healthcare providers) may access another user's profile to enter or update data (e.g., genetic data, medical data, etc.).

[0035] In some embodiments, there may be a server 110 dedicated to mapping contextual information to micronutrients. The mapping may have any of the features or use any of the principles disclosed with respect to mapping disclosed in U.S. Patent Application No. 17 / 876,352, filed July 28, 2022, U.S. Patent Application No. 17 / 876,383, filed July 28, 2022, or U.S. Patent Application No. 17 / 880,920, filed August 4, 2022, the disclosures of which are incorporated herein by reference in their entireties. The mapping on the server 110 is constantly updated as feedback is received after the system 100 is used and individuals are treated with the identified micronutrients and recommended routes for delivering the micronutrients. Thus, treating multiple individuals with different contextual information improves the system 100 and the methods disclosed herein, making them more accurate and specific to each individual's situation.

[0036] In some embodiments, there may be a main server 110 with which electronic devices 120 primarily communicate, and the main server may pull information from other servers 110. The main server 110 may be any of the servers 110 discussed above, or may be a separate server 110.

[0037] The processor(s) of server 110 (e.g., processors 220, 320, 420, 520) may simply be used to retrieve information from the database(s) or storage(s) of server 110 (e.g., storage 230, 330, 430, 530). For example, processor 220, 320, 420, 520 may receive a request for information from electronic device 220 (e.g., a request for food options, oral supplement options, and / or IV or IM nutritional therapy formulation options that provide a particular micronutrient, or a request for lifestyle / health-related recommendations), and processor 220, 320, 420, 520 may retrieve the requested information and cause it to be transmitted to electronic device 120 over network 140. In this situation, electronic device 120 would complete more of the processing for implementing the methods disclosed herein. In other embodiments, the processor(s) of server 110 may be configured to implement more of the disclosed methods on the server itself. In this situation, server 110 would perform the methods disclosed herein and complete more of the processing to provide output to the individual at electronic device 120. Any division of the method steps disclosed herein between electronic device 120 and server 110 is within the scope of this disclosure. A user of electronic device 120 is likely unaware of the difference between electronic device 120 or server 110 performing more of the processing. Additional details regarding the methods performed by server 110 and / or electronic device 120 are described below.

[0038] Electronic device 120 may be a smartphone, tablet, desktop computer, laptop computer, smartwatch, or some other type of electronic device. In some embodiments, electronic device 120 is configured to run multiple applications. One application may be dedicated to system 100 and the methods disclosed herein (e.g., methods for generating nutrition plans and recommendations and other health-related or lifestyle recommendations). In some embodiments, electronic device 120 is configured to receive information regarding nutrition determinants for a user, such as personal genetic information, personal medical information, personal treatment goals, and personal lifestyle information, as well as other determinants of nutrition discussed herein (e.g., culture, habits, environment, etc.). The nutrition determinants may be received from a variety of sources. For example, the nutrition determinants may be received from one or more sensors 130 (discussed below), wearable device 160, other applications on electronic device 120 (discussed below), user input to a user interface, a server (e.g., previously stored information), genetic testing, and / or a healthcare provider.

[0039] As an example of receiving information, a dedicated application for creating nutrition plans and recommendations on electronic device 120 may, in some embodiments, access information related to other applications on electronic device 120, such as a fitness tracking application, a nutrition tracking application, a sleep tracking application, a health-related application, or any other application that collects data about a user's culture, lifestyle, environment, habits, or other determinants of nutrition. In some embodiments, a user may link accounts from the other applications to the dedicated application for creating nutrition plans and recommendations. Information related to the other applications may be information obtained while using the other applications or any information stored in association with or collected for the other applications. In some embodiments, the dedicated application for creating nutrition plans and recommendations obtains information related to the other applications by retrieving information stored on electronic device 120 itself (e.g., from one of the other applications). In some embodiments, the dedicated application obtains information from server 110 associated with the other applications (e.g., server 510).

[0040] In some embodiments, system 100 includes multiple sensors 130 in communication with electronic device 120. One or more of sensors 130 may be part of electronic device 120. For example, there may be sensors 130 disposed within or on electronic device 120 (see FIG. 3 ). In some embodiments, one or more of sensors 130 are separate from electronic device 120, for example, as a standalone device or as part of wearable device 160. In some embodiments, system 100 may include at least one sensor 130 as part of electronic device 120 and at least one sensor 130 separate from electronic device 120. In some embodiments, sensor 130, wearable device(s) 160, and electronic device 120 may communicate with each other as part of personal area network 125. In some embodiments, sensor 130, wearable device(s) 160, and electronic device 120 are configured to communicate with each other via Bluetooth or some other wireless communication protocol. In some embodiments, sensor 130, wearable device(s) 160, and electronic device 120 are configured to communicate via a hardwired connection. In some embodiments, genetic testing kit 150 may also be configured to communicate with electronic device 120 (e.g., via Bluetooth, as part of personal area network 125, via a hardwired connection, etc.).

[0041] In some embodiments, system 100 includes different types of sensors 130. For example, sensors 130 may include a position sensor 131 (such as a GPS sensor), an accelerometer 132, a gyroscope 133, a pedometer 134, a heart rate sensor 135, a barometer 136, a thermometer 137, an air humidity sensor 138, or any other type of sensor 130 (e.g., a blood glucose monitor, etc.). For example, system 100 may include any sensor 130 that senses data related to nutritional determinants. The data may be directly related to nutritional determinants. For example, heart rate sensor 135 may sense data (e.g., heart rate) that provides medical information for the user.

[0042] Data sensed by the sensor 130 may also be indirectly related to nutritional determinants. As one example, the position sensor 131 (such as a GPS sensor) may sense location data that is then used to obtain information about nutritional determinants (and thus determine the individual's location). For example, air quality data associated with the individual's location may be captured based on the location data sensed by the position sensor 131. Other data associated with the individual's location, such as weather data, may also be captured. The location data from the position sensor 131 may be used for other purposes. For example, the system 100 may make assumptions about cultural and environmental determinants of nutrition based on the location data (e.g., assuming higher stress levels if the individual is located in a high-stress position, such as work, assuming dietary restrictions depending on geographic location, etc.). As another example, the system 100 may use the location data from the position sensor 131 to tailor nutrition plans and recommendations. If an individual is in a particular country or region where they do not have access to certain foods, nutritional supplements, IV therapies, etc. (or a particular country does not allow it), system 100 may automatically adjust its recommendations to the best options available based on the user's location, even if they are not the best overall options. In some embodiments, system 100 may have regional rules configured to adapt to a particular country or region.

[0043] In some embodiments, the sensor 130 may be associated with another application on the electronic device (e.g., a fitness, nutrition, or health-related application). Thus, the system 100 may incorporate data obtained by the sensor from or for the other application. As described above, this data may be obtained from another server 510. Alternatively, the data may be incorporated from an online database. In some embodiments, the sensor 130 may be intended for use specifically with the systems and methods disclosed herein.

[0044] In some embodiments, system 100 may include multiple electronic devices 120, as shown, for example, in FIG. 2. While FIG. 2 only shows server 110, network 140, and electronic device 120, each electronic device 120 in FIG. 2 may be associated with an individual using system 100. Thus, for each of these individuals, there may be multiple sensors 130, wearable device(s) 160, and / or genetic testing kits 150 (as shown in FIG. 1). System 100 may include any number of electronic devices 120 (e.g., tens, hundreds, thousands, millions, etc.). The more individuals using system 100, the more accurate, specific, and complete the mapping will be, thus improving the overall health of society and reducing the risk of chronic disease.

[0045] A schematic diagram of an exemplary electronic device 120 is shown in FIG. 3. In this example, electronic device 120 includes a position sensor 131, an accelerometer 132, a gyroscope 133, a pedometer 134, and a heart rate sensor 135. In some embodiments, electronic device 120 may have fewer sensors 130 as shown in FIG. 3 or may have one or more additional sensors 130. In some embodiments, electronic device 120 includes a processor 122, a transceiver 124, a user interface 126, and / or a display 128. In some embodiments, processor 122 is configured to perform one or more of the operations of the methods disclosed herein (e.g., capture information, identify micronutrients, identify nutritional administration routes that provide the micronutrients, make recommendations, etc.). In some embodiments, transceiver 124 is configured to receive and transmit information from other components of system 100, including server 110 (e.g., servers 210, 310, 410, 510), other electronic devices 120, standalone sensors 130, and wearable device 160. In some embodiments, electronic device 120 includes multiple transceivers to facilitate different types of communication (e.g., communication over network 140, communication over personal area network 125, communication over Bluetooth, etc.). In some embodiments, user interface 126 is configured to receive input from an individual. The received input may be input of information regarding nutritional determinants, a request for a plan and / or recommendation, feedback regarding previously consumed foods, supplements, or therapeutics, and / or user preferences. In some embodiments, display 128 is configured to display plans / recommendations, requests for user input (e.g., requests for information, requests for feedback, etc.), user profile / history, communications from healthcare providers, etc. Although FIG. 3 schematically illustrates the user interface 126 and the display 128 separately, the user interface 126 and the display 128 may be combined (eg, as a touchscreen on the electronic device 120).

[0046] In some embodiments, the system 100 includes one or more mappings of nutritional determinants for micronutrients. The mappings may be based on scientific literature and / or results from previous food intake, supplement intake, and therapeutic treatments. The mappings may have features of the mappings disclosed in U.S. Patent Application No. 17 / 876,352, filed July 28, 2022, U.S. Patent Application No. 17 / 876,383, filed July 28, 2022, or U.S. Patent Application No. 17 / 880,920, filed August 4, 2022, the disclosures of which are incorporated herein by reference in their entireties. Each individual has different nutritional determinants, for example, through leading a different lifestyle, being exposed to different exposures, following certain behaviors, and / or having a different genotype. To make appropriate plans / recommendations for a particular individual, the system 100 collects determinants of nutritional information for that particular individual. Nutritional determinants may include medical information, treatment goals, lifestyle information, habits, stress levels, and genetic information.

[0047] Examples of medical information include an individual's personal medical history, family medical history, diseases for which the patient is at high risk, medical and surgical procedures, microbiome, current symptoms, medical diagnoses, blood test results, vital signs (e.g., blood pressure, heart rate, heart rhythm, etc.), and allergies. Medical information may include biodata captured and measured through various processes, which may include blood tests, urine sampling (e.g., toxicology screens, etc.), stool sampling, continuous blood glucose monitoring, and imaging / scans (e.g., ultrasound, etc.). Devices for collecting medical information may include blood pressure monitors, heart rate monitors, body hydration monitors, breathalyzers, blood glucose monitors, metabolic devices, pulse oximeters, and wearable devices configured to measure any type of biodata. Other medical information may also be used as a determinant of nutrition.

[0048] Examples of therapeutic goals include health goals, aesthetic goals, or fitness goals. The therapeutic goal may be to lose weight, gain weight, improve fitness level, improve energy levels, change skin tone (either to a darker or lighter shade), improve skin quality and / or health, improve hair quality and / or health, improve mental acuity, prevent disease, improve symptoms of an existing disease or disorder, improve sleep quality, improve longevity / anti-aging, protect against excessive stress, protect against toxin exposure (e.g., from pollution, chemicals, alcohol, etc.), hydrate, support immune health, and / or heal wounds. Other therapeutic goals may also be used.

[0049] Examples of lifestyle information include an individual's physical activity, mental activity, occupation, social network, current and / or previous food choices and diet, economic stability, culture / habits, preferences, geographic location, travel, and exposure to pathogens, chemicals, pollution, heavy metals, and radiation. Some of these nutritional determinants may be interrelated. Additionally, some of these nutritional determinants may be used to derive additional determinants of nutrition. For example, geographic location may be used to obtain information about pollution levels / air quality, weather, and other geographic influences that may affect an individual's nutrient needs. Whether an individual lives in a polluted area of ​​the world (and therefore has inadequate detoxification) may affect that individual's nutrient needs and should be considered. As another example, geographic location may be used to determine an individual's social network (e.g., by determining with whom the individual spends time). Thus, using system 100 goes far beyond replicating a physician's recommendations, as it utilizes much more data and understands how that data affects an individual's nutrient needs and what the outcomes are for a given set of circumstances. Other lifestyle information may also be used as nutritional determinants.

[0050] Habits and stress levels may be considered subcategories of lifestyle information. Examples of habits of interest as determinants of nutrition include smoking, excessive alcohol consumption, recreational drug use, and participation in risky activities. Examples of stress of interest as a determinant of nutrition include physical stress and mental stress. Other habits and stress levels may also be used as determinants of nutrition.

[0051] Examples of genetic information include an individual's genes, genotype, genome, single nucleotide polymorphisms (SNPs), genetic profile, epigenetic profile, or other genetic data. In some embodiments, genetic information includes epigenetic measurements (e.g., epigenetic clock, methylation score, etc.). Other genetic information can also be used as a determinant of nutrition.

[0052] In some embodiments, the nutritional determinants may be received by user input at electronic device 120. In some embodiments, the nutritional determinants may be received from other applications on electronic device 120. In some embodiments, the nutritional determinants may be received via sensor 130 and / or wearable 160. In some embodiments, the nutritional determinants may be captured based on data received by sensor 130. In some embodiments, the nutritional determinants may be determined based on data received by sensor 130 and / or information input by a user into electronic device 120. System 100 may be configured to use any available nutritional determinants for a particular individual to identify micronutrients for nutrition planning / recommendations and recommend nutrition delivery routes. Similarly, system 100 may be configured to use any available nutritional determinants for a particular individual to evaluate feedback on how a particular micronutrient / nutrient administration route performed to inform and update mappings for future users.

[0053] Once one or more micronutrients are identified (based on the individual's nutritional determinants and the mapping stored in server 110), system 100 can be configured to recommend a specific route or delivery method for the micronutrient(s). The micronutrient(s) can be delivered via food, oral supplements, intravenous nutritional therapy formulations, intramuscular nutritional therapy formulations, or topical supplements. As discussed above, server 110 may include one or more databases for these nutritional administration routes, providing a complete picture of nutrients received through ingestion / uptake / acceptance of food, oral supplements, IV formulations, IM formulations, and topical supplements. Other delivery routes may also be used. System 100 can recommend nutritional administration routes depending on the effectiveness of the individual's unique context, cost, user preferences, availability, and other factors.

[0054] Thus, using the information received / captured / determined related to nutritional determinants, system 100 can understand each user's individuality and provide a suite of precision nutritional products and services that merge that individuality with different nutritional administration routes (e.g., food, oral supplements, IV, etc.), and monitor efficacy and safety on a global scale. Using artificial intelligence and machine learning, the nutritional determinants enable system 100 to observe patterns and trends that can revolutionize scientific discovery related to nutritional health and develop new products and services to improve health and wellness. Thus, system 100 can help prevent disease, delay signs of aging, maintain metabolic function, and promote growth and development.

[0055] In some embodiments, system 100 is configured to automatically map an individual's symptoms / diseases / disorders, genes, personal circumstances, and health goals (i.e., nutritional determinants) to one or more micronutrients known to be clinically effective for treating that patient's particular condition, and recommend nutritional therapies (IV or IM), supplements (oral or topical), or foods that will help the individual. System 100 is also configured to subsequently obtain feedback on how the recommended nutritional administration route worked and then update the mapping of nutritional determinants to micronutrients (and / or nutritional administration routes) for the next person to be treated. Thus, the effectiveness of system 100 improves over time as a more complete mapping of how each nutritional determinant and combination of determinants affects the required micronutrients and the effectiveness of each nutritional administration route is achieved.

[0056] In some embodiments, system 100 is used to implement a method for creating context-based personalized nutrition recommendations for reducing the risk of disease. Generally, as the above discussion indicates, the method may include receiving information about an individual (e.g., nutritional determinants), identifying one or more micronutrients based on the individual's nutritional determinants, identifying one or more nutritional administration routes that provide the identified one or more micronutrients, and recommending one of the nutritional administration routes based on several factors.

[0057] In some embodiments, receiving information about the individual includes receiving any of the nutritional determinants discussed herein, and any combination of these nutritional determinants. As an example, receiving information about the individual includes receiving the individual's genetic information, medical information, and treatment goals. In some embodiments, receiving information about the individual also includes receiving lifestyle information about the individual. In some embodiments, lifestyle information includes information about physical activity, mental activity, occupation, social network, financial security, culture, habits, and personal preferences. This information may be received at electronic device 120 (e.g., via user input at user interface 126, from sensor 130, from wearable device 160, or from server 110). In some embodiments, the genetic information is determined by a genetic test (e.g., genetic test kit 150). This information may be transmitted to electronic device 120 via network 140 and / or personal area network 125, or may be entered by a user via user interface 126.

[0058] In some embodiments, the individual's location is determined using position sensor 131. In some embodiments, data associated with the individual's location is captured. The data may include real-time air quality data. Thus, electronic device 120 may be configured to determine the real-time air quality data based on the location data from position sensor 131. Other data associated with the individual's location that may be captured includes meteorological, cultural, and environmental data, as well as available options for nutritional administration routes at the individual's location (e.g., available options for foods, oral supplements, topical therapeutics, inhaled therapeutics, intravenous nutritional therapy formulations, and intramuscular nutritional therapy formulations).

[0059] In some embodiments, the individual's fitness data is collected using wearable device 160. For example, accelerometer 132 (which may be part of wearable device 160) may collect motion data, and heart rate sensor 135 or monitor (which may also be part of wearable device 160) may collect heart rate data. In some embodiments, electronic device 120 is configured to determine the individual's fitness data based on the motion data and the heart rate data.

[0060] In some embodiments, identifying one or more micronutrients for the individual based on the individual's nutritional determinants may include identifying one or more micronutrients based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data, and based on real-time air quality data associated with the individual's location. In some embodiments, system 100 is configured to identify micronutrients in response to a recommendation request from the individual. For example, the recommendation request may be received at electronic device 120 by the individual using electronic device 120. In response to the recommendation request, electronic device 120 may identify one or more micronutrients. For example, electronic device 120 may communicate with server(s) 110 via network 140 to retrieve relevant details from the mapping of nutritional determinants to micronutrients, thereby identifying micronutrients suitable for the individual given that particular individual's contextual information (i.e., nutritional determinants).

[0061] After identifying the micronutrient(s), a nutritional administration route that provides the micronutrient(s) can be identified. In some embodiments, identifying one or more nutritional administration routes that provide the identified one or more micronutrients includes identifying at least two of a food, an oral supplement, a topical therapeutic, an inhaled nutritional therapy, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation that provides the identified one or more micronutrients. For example, a food and an oral supplement may be identified, both of which contain the identified micronutrient(s). In some embodiments, all of a food, an oral supplement, a topical therapeutic, an inhaled nutritional therapy, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation may be identified. In some embodiments, multiple options for each nutritional administration route (e.g., two or more foods, two or more oral supplements, etc.) may be identified. The electronic device 120 may identify the nutritional administration route by communicating with the server(s) 110 via the network 140 to retrieve nutritional administration route options from the above-mentioned database that provide the identified micronutrient(s).

[0062] After the nutritional administration routes are identified, system 100 may recommend one of the identified routes based on several factors. In some embodiments, electronic device 120 makes the recommendation. For example, electronic device 120 may recommend one of the food, oral supplements, topical medication, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation based on the cost of each of the food, oral supplements, topical medication, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation, the individual's financial stability, and the effectiveness of each of the food, oral supplements, topical medication, inhaled nutritional therapy, intravenous nutritional therapy formulation, and intramuscular nutritional therapy formulation in providing the identified one or more micronutrients. Other factors may also be considered, such as the availability of a particular nutritional administration route at the individual's location, the ease of securing the nutritional administration route, and individual preferences.

[0063] Electronic device 120 may be configured to balance factors that influence recommendations in different ways. In some embodiments, the user can change how electronic device 120 is configured to balance factors, which may be based on the user's desires / preferences, suggestions from the user's healthcare provider, and / or the particular situation. In some embodiments, electronic device 120 is configured to recommend a therapeutic agent that is most effective in providing the identified micronutrient(s), regardless of cost. In some embodiments, electronic device 120 is configured to recommend the most cost-effective route of nutritional administration that provides at least some benefit to the user's particular situation by providing the identified micronutrient(s) (even if it is less effective than other routes). In some embodiments, electronic device 120 is configured to optimize effectiveness and cost. For example, if one nutrient source is expensive but only slightly better than another, much more affordable approach (e.g., taking vitamin C tablets instead of eating oranges), electronic device 120 may recommend a cheaper option that is roughly as effective.

[0064] Whether electronic device 120 prioritizes cost or effectiveness may be a user-selected setting, or electronic device 120 may be configured to base this priority on other factors, such as the individual's financial stability. For example, if the individual's financial stability is low, electronic device 120 may prioritize cost and recommend less expensive options. Thus, system 100 may provide less expensive food recommendations to help the user's condition or symptoms as an alternative to immediate medical care. On the other hand, if the individual's financial stability is high, electronic device 120 may prioritize effectiveness and give less weight to cost. In some embodiments, electronic device 120 may provide multiple options, each indicating effectiveness and cost (or other characteristics), and allow the user to select which option to take.

[0065] In some embodiments, nutritional determinants influence which route of nutritional administration is ultimately recommended. For example, an individual with diabetes may be recommended (e.g., by electronic device 120) for oral supplements rather than foods that are too high in sugar.

[0066] In some embodiments, the recommending is performed by a first application (such as the dedicated application described above) on electronic device 120. In some embodiments, receiving the lifestyle information includes capturing data associated with a second application (such as the other application discussed above) on electronic device 120.

[0067] In some embodiments, the method includes developing a nutritional plan based on nutritional determinants (e.g., the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data). The nutritional plan may be adjusted based on real-time air quality data associated with the individual's location. The nutritional plan may also be adjusted based on updated medical information, treatment goals, or the individual's lifestyle information.

[0068] In some embodiments, system 100 may be used in specific contexts. For example, in some embodiments, system 100 may be used while shopping. In some embodiments, electronic device 120 is configured to scan food items in a store (e.g., a grocery store) using a dedicated scanner or camera on electronic device 120. Electronic device 120 may then determine which food items are best for an individual based on the individual's genetic information and other nutritional determinants. A similar approach may be used for online shopping, either by electronic device 120 scanning an item's identifier or by communicating with another application the individual is using to shop online when the user shops using another application on electronic device 120. A similar approach may also be used when determining menu items at a restaurant. In some embodiments, system 100 may provide recommendations for specific foods or nutrients to avoid (e.g., avoid salty foods today).

[0069] In some embodiments, system 100 can be used while purchasing oral supplements, topical supplements, or medications at a pharmacy. For example, electronic device 120 can scan the supplement, access the individual's medical records and purchase history, and / or provide recommendations based on the individual's genetic information and other nutritional determinants. Additionally, the methods disclosed herein can alternatively be used with beauty products applied to an individual's skin to identify products that are best suited to the individual's genetic, medical, and other contextual information.

[0070] In some embodiments, system 100 may provide recommendations other than nutrient recommendations. For example, system 100 may provide recommendations to change one's lifestyle, such as increasing physical activity, eliminating bad habits, changing one's environment, moving to a new geographic location, or changing jobs. This may be appropriate when it is difficult to identify suitable micronutrient sources given certain nutritional determinants, or when micronutrients alone are insufficient to resolve a particular symptom or condition.

[0071] In some embodiments, system 100 may be used to create and / or modify foods, oral supplements, topical supplements, IV nutritional therapy formulations, or IM nutritional therapy formulations. For example, as the mapping continues to be updated, manufacturers or producers of these nutritional administration routes may identify specific populations or categories of people who would benefit from different or modified combinations of micronutrients and design supplements, foods, or therapy formulations for that group of people. Alternatively, manufacturers or producers may learn that a particular supplement, food, or therapy formulation is not effective and make adjustments to improve its effectiveness.

[0072] As mentioned above, the systems and methods disclosed herein may be implemented partially or fully using a computer, via software running on or associated with a computer, or an application accessible by the computer or some other electronic device. As an example, Figure 4 is a schematic diagram of a particular computing device 900 and a particular mobile computing device 950 that may be used to perform and / or implement any of the embodiments disclosed herein.

[0073] The particular computing device 900 may represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and / or other suitable computers. The particular mobile computing device 950 may represent various forms of mobile devices, such as smartphones, camera phones, personal digital assistants, mobile phones, and other similar mobile devices. The components, their connections, couplings, and relationships, and their functionality shown herein are intended to be merely exemplary and are not intended to limit the embodiments described and / or claimed, according to one embodiment.

[0074] A particular computing device 900 may include a processor 902, a memory 904, a storage device 906, a high-speed interface 908 coupled to the memory 904 and to multiple high-speed expansion ports 910, and a low-speed interface 912 coupled to a low-speed bus 914 and the storage device 906. In one embodiment, each of the foregoing components may be interconnected using various buses, mounted on a common motherboard, and / or otherwise mounted as desired. The processor 902, according to one embodiment, may process instructions for execution on the particular computing device 900, including instructions stored in the memory 904 and / or on the storage device 906, to display graphical information for a GUI on an external input / output device, such as a display unit 916 coupled to the high-speed interface 908.

[0075] In other embodiments, multiple processors and / or multiple buses may be used, along with multiple memories and / or types of memory, as appropriate. Also, multiple particular computing devices 900 may be combined, with each device providing some portion of the required operations (e.g., a bank of servers, a group of blade servers, and / or a multiprocessor system).

[0076] Memory 904 may be coupled to a particular computing device 900. In one embodiment, memory 904 may be volatile memory. In another embodiment, memory 904 may be non-volatile memory. Memory 904 may also be another form of computer-readable medium, such as a magnetic disk and / or an optical disk. Storage device 906 may be capable of providing mass storage for a particular computing device 900. In one embodiment, storage device 906 may be a floppy disk device, a hard disk device, an optical disk device, a tape device, flash memory, and / or other similar solid-state memory device. In another embodiment, storage device 906 may be an array of devices within the foregoing computer-readable medium, including devices within a storage area network and / or other configuration.

[0077] The computer program may be comprised of instructions that, when executed, perform one or more methods, such as those described above. The instructions may be stored in memory 904, storage device 906, a memory coupled to processor 902, and / or a propagated signal.

[0078] The high-speed interface 908 may manage bandwidth-intensive operations for a particular computing device 900, while the low-speed interface 912 may manage less bandwidth-intensive operations. Such an allocation of functionality is merely exemplary. In one embodiment, the high-speed interface 908 may be coupled to memory 904, coupled to a display unit 916 (e.g., via a graphics processor and / or accelerator), and coupled to multiple high-speed expansion ports 910 that may accept various expansion cards.

[0079] In an embodiment, the low-speed interface 912 may be coupled to a storage device 906 and a low-speed bus 914. The low-speed bus 914 may consist of wired and / or wireless communication ports (e.g., Universal Serial Bus ("USB"), Bluetooth® ports, Ethernet ports, and / or wireless Ethernet ports). The low-speed bus 914 may also be coupled to a scan unit 928, a printer 926, a keyboard, a mouse 924, and networking devices (e.g., a switch and / or a router) via network adapters.

[0080] The particular computing device 900 may be implemented in several different forms, as shown in the figure. In one embodiment, the particular computing device 900 may be implemented as a standard server 918 and / or a group of such servers. In another embodiment, the particular computing device 900 may be implemented as part of a rack server system 922. In yet another embodiment, the particular computing device 900 may be implemented as a general computer 920, such as a laptop or desktop computer. Alternatively, components from the particular computing device 900 may be combined with other components in the particular mobile computing device 950. In one or more embodiments, an overall system may be composed of multiple particular computing devices 900 and / or multiple particular computing devices 900 coupled to multiple particular mobile computing devices 950.

[0081] In one embodiment, a particular mobile computing device 950 may include, among other components, a mobile-enabled processor 952, a mobile-enabled memory 954, and input / output devices such as a mobile display 966, a communications interface 972, and a transceiver 958. A particular mobile computing device 950 may also include a storage device such as a microdrive or other device to provide additional storage. In one embodiment, the components shown so far are interconnected using various buses, and some of the components may be mounted on a common motherboard.

[0082] The mobile-enabled processor 952 may execute instructions within the particular mobile computing device 950, including instructions stored in the mobile-enabled memory 954. The mobile-enabled processor 952 may be implemented as a chipset of chips including separate and multiple analog and digital processors. The mobile-enabled processor 952 may provide coordination of other components of the particular mobile computing device 950, such as control of a user interface, applications executed by the particular mobile computing device 950, and wireless communication by the particular mobile computing device 950.

[0083] The mobile-enabled processor 952 may communicate with a user via a control interface 956 and a display interface 964 coupled to a mobile display 966. In one embodiment, the mobile display 966 may be a thin film transistor liquid crystal display ("TFT LCD"), an organic light-emitting diode ("OLED") display, or another suitable display technology. The display interface 964 may include appropriate circuitry for driving the mobile display 966 to present graphical and other information to the user. The control interface 956 may receive commands from the user and convert them for sending to the mobile-enabled processor 952.

[0084] Additionally, external interface 962 may communicate with mobile-enabled processor 952 to enable short-range communication with other devices of a particular mobile computing device 950. External interface 962 may provide, for example, wired communication in some embodiments or wireless communication in other embodiments, and multiple interfaces may also be used.

[0085] Mobile-compatible memory 954 may be coupled to a particular mobile computing device 950. Mobile-compatible memory 954 may be implemented as volatile and non-volatile memory. Expansion memory 978 may also be coupled to a particular mobile computing device 950 via an expansion interface 976, which may include, for example, a single in-line memory module ("SIMM") card interface. Expansion memory 978 may provide extra storage space for a particular mobile computing device 950 or may also store applications or other information for a particular mobile computing device 950.

[0086] Specifically, expansion memory 978 may include instructions for executing the processes described above. Expansion memory 978 may also include secure information. For example, expansion memory 978 may be provided as a security module for a particular mobile computing device 950 and may be programmed with instructions that enable secure use of the particular mobile computing device 950. Additionally, secure applications may be provided on SIMM cards along with additional information, such as placing identifying information on the SIMM card in an unhackable manner.

[0087] The mobile-enabled memory may include volatile memory (e.g., flash memory) and non-volatile memory (e.g., non-volatile random access memory (“NVRAM”)). In one embodiment, a computer program comprises a set of instructions that, when executed, perform one or more methods. The set of instructions may be stored in the mobile-enabled memory 954, the expansion memory 978, memory coupled to the mobile-enabled processor 952, and on a propagated signal that may be received, for example, via the transceiver 958 and / or the external interface 962.

[0088] Certain mobile computing devices 950 may communicate wirelessly via a communications interface 972, which may include digital signal processing circuitry. Communications interface 972 may provide for communications using various modes and / or protocols, such as the Global System for Mobile Communications (“GSM”) protocol, the Short Message Service (“SMS”) protocol, the Enhanced Messaging System (“EMS”) protocol, the Multimedia Messaging Service (“MMS”) protocol, the Code Division Multiple Access (“CDMA”) protocol, the Time Division Multiple Access (“TDMA”) protocol, the Personal Digital Cellular (“PDC”) protocol, the Wideband Code Division Multiple Access (“WCDMA”) protocol, the CDMA 2000 protocol, and the General Packet Radio Service (“GPRS”) protocol.

[0089] Such communication may occur, for example, via transceiver 958 (e.g., a radio frequency transceiver). In addition, short-range communication may occur, such as using Bluetooth, Wi-Fi, and / or other such transceivers. Additionally, a GPS ("Global Positioning System") receiver module 974 may provide additional navigation-related and location-related radio data to the particular mobile computing device 950, which may be used as appropriate by software applications executing on the particular mobile computing device 950.

[0090] A particular mobile computing device 950 may also communicate by voice using an audio codec 960, which may receive spoken information from a user and convert that information into usable digital information. The audio codec 960 may also generate audible sounds for the user, for example, via a speaker (e.g., in a handset smartphone of a particular mobile computing device 950). Such sounds may include sounds from a voice telephone call, recorded sounds (e.g., voice messages, music files, etc.), and may also include sounds generated by applications running on the particular mobile computing device 950.

[0091] The particular mobile computing device 950 may be implemented in several different forms, as shown in the figure. In one embodiment, the particular mobile computing device 950 may be implemented as a smartphone 968. In another embodiment, the particular mobile computing device 950 may be implemented as a personal digital assistant ("PDA"). In yet another embodiment, the particular mobile computing device 950 may be implemented as a tablet device 970.

[0092] Various embodiments of the systems and techniques described herein may be implemented in digital electronic circuitry, integrated circuits, specially designed application-specific integrated circuits ("ASICs"), computer hardware, firmware, software applications, and combinations thereof. These various embodiments may include implementation in one or more computer programs executable and / or interpretable on a programmable system including a programmable processor, which may be special-purpose or general-purpose, coupled to receive data and instructions from, and transmit data and instructions to, a storage system, an input device, and at least one output device.

[0093] These computer programs (also known as programs, software, software applications, and / or code) include machine-readable instructions for a programmable processor and may be implemented in high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms "machine-readable medium" and / or "computer-readable medium" refer to any computer program product, apparatus, and / or device (e.g., magnetic disks, optical disks, memory, and / or programmable logic devices ("PLDs")) used to provide machine instructions and / or data to a programmable processor, including machine-readable media that receive machine instructions as machine-readable signals. The term "machine-readable signal" refers to any signal used to provide machine instructions and / or data to a programmable processor.

[0094] To provide for user interaction, the systems and techniques described herein may be implemented on a computing device having a display device (e.g., a cathode ray tube ("CRT") and / or liquid crystal ("LCD") monitor) for displaying information to the user, and a keyboard and mouse through which the user can provide input to the computer. Other types of devices may also be used to provide for user interaction; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, and / or tactile feedback), and input from the user may be received in any form, including acoustic, speech, and / or tactile input.

[0095] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as data servers), middleware components (e.g., application servers), front-end components (e.g., client computers with graphical user interfaces and / or web browsers through which users can interact with embodiments of the systems and techniques described herein), and combinations thereof. The components of the system may also be coupled via a communications network.

[0096] Communication networks may include local area networks ("LANs") and wide area networks ("WANs") (e.g., the Internet). Computing systems may include clients and servers. In one embodiment, the clients and servers are remote from each other and interact through a communication network.

[0097] Several embodiments have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the claimed invention. Additionally, the illustrated logic flows do not require the particular order or sequential numbering shown to achieve desired results. Additionally, other steps may be provided or eliminated from the described flows, and other components may be added to or removed from the described systems. Accordingly, other embodiments are within the scope of the following claims.

[0098] It may be understood that the various systems, methods, and apparatus disclosed herein may be embodied in a machine-readable and / or machine-accessible medium corresponding to a data processing system (e.g., a computer system) and / or may be performed in any order.

[0099] Structures and modules in the figures may be shown distinctly different and may be shown in communication only with some specific structures and not with other structures. Structures may be integrated with one another, perform overlapping functions, and communicate with other structures not shown connected in the figures. Accordingly, the specification and / or drawings may be considered in an illustrative rather than a restrictive sense.

[0100] Where the above examples, embodiments, and implementations refer to examples, it should be understood by those skilled in the art that the provided use cases, execution environments, and data structures may be mixed or substituted with other use cases, execution environments, and data structures. Where the above description refers to a particular embodiment of a personalized treatment system or method, it should be readily apparent that certain modifications may be made without departing from the spirit thereof, and that these embodiments and implementations may also be applied to other personalized treatment systems and methods. Accordingly, the disclosed subject matter is intended to encompass all such changes, modifications, and variations that fall within the spirit and scope of this disclosure and the knowledge of those skilled in the art.

[0101] The concepts disclosed herein are not limited to the specific examples shown herein. It should be readily apparent that several modifications may be made without departing from the spirit of the present specification, and that these implementations may be applied to other implementations, disclosed or not. The methods and systems of the present disclosure should therefore be considered in all respects as illustrative and not restrictive.

Claims

1. 1. A method for generating context-based personalized nutrition recommendations, comprising: receiving genetic information, medical information, and treatment goals for an individual, wherein the genetic information is determined by genetic testing; receiving lifestyle information about the individual, the lifestyle information including information about the individual's physical activity, mental activity, occupation, social network, financial security, culture, habits, and preferences; determining a position of the individual using a position sensor; capturing data associated with the location of the individual from the position sensor, the data including real-time air quality data; collecting fitness data of the individual using a wearable device; identifying one or more micronutrients for the individual based on the genetic information, medical information, treatment goals, lifestyle information, and fitness data of the individual, and based on the real-time air quality data associated with the location of the individual; identifying at least two of a food product, an oral supplement, a topical treatment, an inhaled nutritional treatment, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation that provide the identified one or more micronutrients; and recommending one of the identified at least two of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation based on the cost of each of the identified at least two of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation, the financial stability of the individual, and the effectiveness of each of the at least two of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation in providing the identified one or more micronutrients.

2. 10. The method of claim 1, wherein the recommending is performed by a first application on the electronic device, and receiving lifestyle information includes capturing data associated with a second application on the electronic device.

3. 10. The method of claim 1, wherein the data associated with the location of the individual includes available options for foods, oral supplements, topical medications, inhaled nutritional medications, intravenous nutritional therapy formulations, and intramuscular nutritional therapy formulations at the location of the individual.

4. The method of claim 1 , further comprising receiving a recommendation request from the individual.

5. The method of claim 1 , further comprising developing a nutrition plan based on the genetic information, medical information, treatment goals, lifestyle information, and fitness data of the individual.

6. The method of claim 5 , further comprising adjusting the nutrition plan based on the real-time air quality data associated with the location of the individual.

7. 6. The method of claim 5, further comprising adjusting the nutrition plan based on the individual's updated medical information, treatment goals, or lifestyle information.

8. 1. A system for generating context-based personalized nutrition recommendations, comprising: a genetic test configured to determine an individual's genetic information; an electronic device configured to receive the genetic information of the individual, the medical information of the individual, the treatment goals of the individual, and lifestyle information of the individual; a plurality of sensors in communication with the electronic device, the plurality of sensors including a position sensor, an accelerometer, and a heart rate monitor, the electronic device configured to determine real-time air quality data based on position data from the position sensor, and the electronic device configured to determine fitness data for the individual based on motion data from the accelerometer and heart rate data from the heart rate monitor; a server in communication with the electronic device, the server including a food database, an oral supplement database, a topical medication database, an inhaled nutritional therapy database, an intravenous nutritional therapy database, an intramuscular nutritional therapy database, and a mapping of genetic information, medical information, treatment goals, lifestyle information, air quality data, and fitness data to one or more micronutrients; The system comprises: using the mapping to identify one or more micronutrients for the individual based on the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data, and based on the real-time air quality data; identifying at least two of a food product from the food database, an oral supplement from the oral supplement database, a topical therapeutic product from the topical therapeutic product database, an inhaled nutritional therapeutic product from an inhaled nutritional therapeutic product database, an intravenous nutritional therapy formulation from the intravenous nutritional therapy database, and an intramuscular nutritional therapy formulation from the intramuscular nutritional therapy database, which provide the identified one or more micronutrients; The system is configured to recommend one of the at least two of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapeutic agent, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation based on the cost and effectiveness of each of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapeutic agent, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation.

9. The system of claim 8 , wherein the server comprises a plurality of servers.

10. The system of claim 8 , wherein at least one of the plurality of sensors is disposed within the electronic device.

11. The system of claim 8 , wherein at least one of the plurality of sensors is disposed in a wearable device that communicates with the electronic device.

12. The system of claim 8 , wherein the electronic device is configured to receive a recommendation request from the individual.

13. 10. The system of claim 8, wherein the system is configured to develop a nutrition plan based on the genetic information, medical information, treatment goals, lifestyle information, and fitness data of the individual.

14. The system of claim 8 , wherein the electronic device comprises a mobile device.

15. 1. A method for generating context-based personalized nutrition recommendations, comprising: Determining an individual's genetic information using genetic testing; receiving medical information, treatment goals, and lifestyle information for the individual; mapping the genetic information, medical information, treatment goals, and lifestyle information of the individual to one or more micronutrients; identifying at least one of a food product, an oral supplement, a topical treatment, an inhaled nutritional treatment, an intravenous nutritional therapy formulation, and an intramuscular nutritional therapy formulation, each of which provides the one or more micronutrients; recommending the at least one of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation based on the cost and effectiveness of each of the at least one of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation; After the individual receives the one or more micronutrients via the recommended at least one of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation, receiving feedback regarding the effectiveness of the recommended at least one of the food, the oral supplement, the topical therapeutic agent, the inhaled nutritional therapy, the intravenous nutritional therapy formulation, and the intramuscular nutritional therapy formulation; and generating future recommendations for the individual and other individuals based on the feedback.

16. The method of claim 15 , wherein the lifestyle information includes information about the individual's physical activity, mental activity, occupation, social network, financial security, culture, habits, and preferences.

17. The method of claim 15 , further comprising receiving a recommendation request from the individual.

18. 16. The method of claim 15, further comprising developing a nutrition plan based on the genetic information, medical information, treatment goals, lifestyle information, and fitness data of the individual.

19. 20. The method of claim 18, further comprising adjusting the nutrition plan based on the real-time air quality data associated with the location of the individual.

20. 20. The method of claim 18, further comprising adjusting the nutrition plan based on the individual's updated medical information, treatment goals, or lifestyle information.

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