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

Abstract

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

Description

[0001] Related Applications

[0002] This application is a continuation-in-part of U.S. utility application No. 17 / 876,352, filed on July 28, 2022, which claims the benefit of U.S. provisional application No. 63 / 227,943, filed on July 30, 2021, the disclosure of which is hereby incorporated by reference in its entirety. This application is also a continuation-in-part of U.S. utility application No. 17 / 876,383, filed on July 28, 2022, which claims the benefit of U.S. provisional application No. 63 / 227,952, filed on July 30, 2021, the disclosure of which is hereby incorporated by reference in its entirety. This application is also a continuation-in-part of U.S. utility application No. 17 / 880,920, filed on August 4, 2022, which claims the benefit of U.S. provisional application No. 63 / 230,516, filed on August 6, 2021, the disclosure of which is hereby incorporated by reference in its entirety. Technical Field

[0003] The present disclosure relates generally to nutrition planning and recommendations, and more particularly, to systems and methods for creating context-based personalized nutrition plans and recommendations that take into account an individual's genetic and other medical information, lifestyle, environment, and other contextual information. Background Art

[0004] Achieving and maintaining optimal health and normal function of the human body requires proper nutrition and moisture, including the correct balance of nutrients, such as macronutrients (e.g., protein, carbohydrates, fat) and micronutrients (e.g., vitamins, minerals, antioxidants). Maintaining nutrient intake equal to individual nutrient requirements supports normal body physiology, and therefore helps prevent disease. However, the modern medical approach is more of a passive approach to health, in which intervention is only performed when the damage to normal body physiology develops to the point where symptoms are produced. In fact, for convenience, people often sacrifice good nutrition. Therefore, the prevalence of chronic diseases is rising rapidly. Even with global research efforts and new drugs, this disease still has a significant impact on individuals and society.

[0005] Further complicating these issues is that each individual is unique, with different genetic makeup, lifestyle, culture, environment and other situations. Therefore, the nutrient requirements of one person are not necessarily the same as those of another, and nutrients that are beneficial to one person may be less useful, or even harmful, to another. However, most individuals do not know how their unique situations (e.g., their genetic makeup, their culture, their environment, etc.) should affect their nutrition and other health choices. In addition, although there are various channels for obtaining nutrients (such as food intake, oral supplements, local supplements or treatments, intravenous ("IV") nutrient therapy and intramuscular ("IM") nutrient therapy), the availability of each channel or the options within each channel may vary due to location, culture, economic situation or other factors. Summary of the invention

[0006] Aspects of the present disclosure relate to a method for creating context-based personalized nutrition recommendations. In some embodiments, the method includes receiving genetic information, medical information, and treatment goals of 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, financial security, culture, habits, and preferences. In some embodiments, the method includes using a location sensor to determine the individual's location. In some embodiments, the method includes retrieving data associated with the individual's location from the location sensor. In some embodiments, the data includes real-time air quality data. In some embodiments, the method includes using a wearable device to collect individual fitness data. In some embodiments, the method includes identifying one or more micronutrients of the individual 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, the method includes identifying at least two of foods, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas that provide the identified one or more micronutrients; and recommending one of the identified at least two of the foods, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas based on the cost of each of the identified at least two of the foods, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas, the individual's financial security, and the effectiveness of each of the at least two of the foods, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas in providing the identified one or more micronutrients.

[0007] Specific implementations may include one or more of the following features. In some embodiments, the recommendation is performed by a first application on an electronic device, and receiving lifestyle information includes retrieving data associated with a second application on the electronic device. In some embodiments, the data associated with the location of the individual includes available options for food, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas at the location of the individual. In some embodiments, the method also includes receiving a recommendation request from the individual. In some embodiments, the method also includes formulating 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 updated medical information, treatment goals, or lifestyle information of the individual.

[0008] Aspects of the present disclosure relate to a system for creating context-based personalized nutrition recommendations. In some embodiments, the system includes a genetic test configured to determine the genetic information of an individual. In some embodiments, the system includes an electronic device configured to receive the genetic information of the individual and the medical information, treatment goals, and lifestyle information of the individual. In some embodiments, the system includes a plurality of sensors communicating 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 position data from the position sensor. In some embodiments, the electronic device is configured to determine the fitness data of the individual based on motion data from the accelerometer and heart rate data from the heart rate monitor. In some embodiments, the system includes a server, which includes a food database, an oral supplement database, a local treatment database, an inhaled nutrition therapy database, an intravenous nutrition therapy database, an intramuscular nutrition 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. In some embodiments, the server communicates with the electronic device. In some embodiments, the system is configured to use 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 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 local treatment from a local treatment database, an inhaled nutrition therapy from an inhaled nutrition therapy database, an intravenous nutrition therapy formula from an intravenous nutrition therapy database, and an intramuscular nutrition therapy formula from an intramuscular nutrition therapy database that provide the identified one or more micronutrients. In some embodiments, the system is configured to recommend one of the at least two of the food, oral supplement, local treatment, inhaled nutrition therapy, intravenous nutrition therapy formula, and intramuscular nutrition therapy formula based on the cost and effectiveness of each of the food, oral supplement, local treatment, inhaled nutrition therapy, intravenous nutrition therapy formula, and intramuscular nutrition therapy formula.

[0009] Specific 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 an 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.

[0010] Aspects of the present disclosure relate to a method for creating a personalized nutritional recommendation based on a situation. In some embodiments, the method includes determining the genetic information of an individual using a genetic test. In some embodiments, the method includes receiving the medical information, treatment goals, and lifestyle information of the individual. In some embodiments, the method includes mapping the genetic information, medical information, treatment goals, and lifestyle information of the individual to one or more micronutrients. In some embodiments, the method includes identifying at least one of a food, oral supplement, topical treatment, inhaled nutritional therapy, intravenous nutritional therapy formula, and intramuscular nutritional therapy formula that each provides the one or more micronutrients. In some embodiments, the method includes recommending at least one of the food, oral supplement, topical treatment, inhaled nutritional therapy, intravenous nutritional therapy formula, and intramuscular nutritional therapy formula based on the cost and effectiveness of each of the at least one of the food, oral supplement, topical treatment, inhaled nutritional therapy, intravenous nutritional therapy formula, and intramuscular nutritional therapy formula. In some embodiments, the method includes receiving feedback on the effectiveness of the recommended at least one of the food, oral supplement, topical treatment, inhaled nutrient therapy, intravenous nutrient therapy formula, and intramuscular nutrient therapy formula (after the individual has received the one or more micronutrients via the recommended at least one of the food, oral supplement, topical treatment, inhaled nutrient therapy, intravenous nutrient therapy formula, and intramuscular nutrient therapy formula). In some embodiments, the method includes creating future recommendations for the individual and for other individuals based on the feedback.

[0011] Specific 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 formulating 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 updated medical information, treatment goals, or lifestyle information of the individual.

[0012] The foregoing and other aspects, features, applications and advantages will be apparent to those of ordinary skill in the art from the specification, drawings and claims. Unless otherwise noted, it is intended to give the words and phrases in the specification and claims simple, ordinary and customary meanings to those of ordinary skill in the applicable field. The inventors are fully aware that they can be their own lexicographers if necessary. The inventors, as their own lexicographers, have expressly chosen to use only the simple and ordinary meanings of the terms in the specification and claims, unless they clearly state otherwise, further clearly setting forth the "special" definition of the term and explaining its difference from the simple and ordinary meaning. In the absence of such clear statements of the intended application of the "special" definition, it is the intention and expectation of the inventors to apply the concise, simple and ordinary meanings of the terms to the interpretation of the specification and claims.

[0013] The inventors are also aware of normal English grammatical rules. Thus, if a noun, term, or phrase is intended to further characterize, specify, or narrow the scope in some way, such noun, term, or phrase will expressly include additional adjectives, descriptive terms, or other modifiers that conform to normal English grammatical rules. Without 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 a person skilled in the applicable field as set forth above.

[0014] Furthermore, the inventors are fully aware of the criteria and application of the specific provisions of 35 U.S.C. §112(f). Therefore, the use of the words "function," "means," or "step" in the detailed description or in the accompanying drawings or in the claims is not intended to indicate in any way that it is intended to invoke the specific provisions of 35 U.S.C. §112(f) to define the present invention. Instead, if the provisions of 35 U.S.C. §112(f) are attempted to be invoked to define the present invention, the claims will specifically and explicitly state the exact phrase "means for..." or "step for..." and will also list the word "function" (i.e., it will state "means for performing the function of [insert function]") without listing any structure, material, or action that supports the function in such phrases. Therefore, even when a claim lists "means for performing the function of..." or "step for performing the function of...", if the claim also lists any structure, material, or action that supports the means or step or performs the listed function, the inventors' clear intention is not to invoke the provisions of 35 U.S.C. §112(f). In addition, even if the provisions of 35 U.S.C. §112(f) are cited to limit the claimed aspects, it is intended that such aspects are not limited to the specific structures, materials, or acts described in the preferred embodiments, but also include any and all structures, materials, or acts that perform the claimed functions as described in alternative embodiments or forms of the present disclosure, or well-known existing or later developed equivalent structures, materials, or acts for performing the claimed functions.

[0015] The foregoing and other aspects, features and advantages will be apparent to one of ordinary skill in the art from the description, drawings and claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present disclosure will be described below in conjunction with the accompanying drawings.

[0017] Figure 1 A system for creating context-based personalized nutrition plans and recommendations is shown in accordance with some embodiments.

[0018] Figure 2 A system for creating context-based personalized nutrition plans and recommendations is shown in accordance with some embodiments.

[0019] Figure 3 An electronic device for use in a system for creating context-based personalized nutrition plans and recommendations is shown in accordance with some embodiments.

[0020] Figure 4 A schematic diagram of a computing device that can be used to perform or implement the embodiments disclosed herein is shown. DETAILED DESCRIPTION

[0021] 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 with specific implementations of the present disclosure. Thus, for example, although specific implementations are disclosed, such implementations and implementation components may include any components, models, types, materials, versions, amounts and / or the like known in the art for such systems and implementation components consistent with the intended operation.

[0022] The words "exemplary," "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 being preferred or advantageous over other aspects or designs. In addition, examples are provided merely for the purpose of clarity and understanding and are not intended to limit or restrict the disclosed subject matter or relevant portions of the present disclosure in any way. It should be understood that additional or alternative examples of numerous different scopes may have been presented, but these examples have been omitted for the sake of brevity.

[0023] While the present disclosure includes multiple embodiments in many different forms, the drawings show specific embodiments that will be described in detail, and it should be understood that the present disclosure should be considered as an exemplification of the principles of the disclosed methods and systems and is not intended to limit the broad aspects of the disclosed concepts to the embodiments shown.

[0024] Achieving and maintaining optimal health and normal function of the human body requires proper nutrition and moisture, including the correct balance of nutrients, such as macronutrients (e.g., protein, carbohydrates, fat) and micronutrients (e.g., vitamins, minerals, antioxidants). Maintaining nutrient intake equal to individual nutrient requirements supports normal body physiology, and therefore helps prevent disease. However, the modern medical approach is more of a passive approach to health, in which intervention is only performed when the damage to normal body physiology develops to the point where symptoms are produced. In fact, for convenience, people often sacrifice good nutrition. Therefore, the prevalence of chronic diseases is rising rapidly. Even with global research efforts and new drugs, this disease still has a significant impact on individuals and society.

[0025] Further complicating these issues is that each individual is unique, with different genetic makeup, lifestyle, culture, environment and other situations. Therefore, the nutrient requirements of one person are not necessarily the same as those of another, and nutrients that are beneficial to one person may be less useful, or even harmful, to another. However, most individuals do not know how their unique situations (e.g., their genetic makeup, their culture, their environment, etc.) should affect their nutrition and other health choices. In addition, although there are various channels for obtaining nutrients (such as food intake, oral supplements, local supplements or treatments, intravenous ("IV") nutrient therapy and intramuscular ("IM") nutrient therapy), the availability of each channel or the options within each channel may vary due to location, culture, economic situation or other factors.

[0026] It is desirable to consider the improved system and method of the unique situation of an individual. For example, a system that assists an individual to make nutrition, lifestyle and health decisions based on their genetic data and other contextual information will reduce the impact of chronic diseases and other diseases on both individuals and society. The present disclosure describes a system and method for receiving contextual information (e.g., genetic information, medical information, treatment goals, lifestyle information, habits, stress, etc.) about an individual. Because this contextual information determines the nutrient requirements of each individual, the contextual information fragments can be considered as nutritional determinants together. The disclosed system and method use the received contextual information to identify the micronutrients needed by an individual (at a specific time point or as part of an overall nutrition plan). Scientific literature and / or previous treatment results (collected from a large number of users) can be used to map contextual information to micronutrients suitable for any particular condition. Over time, this mapping will become more accurate and more specific, because the system will be able to determine how each factor and combination of factors affect the nutrient requirements of an individual.

[0027] In some embodiments, the disclosed system and method identify different paths or delivery methods for providing identified micronutrients. These approaches may include food, oral supplements, intravenous nutrition therapy formulas, intramuscular nutrition therapy formulas, or local supplements. After identifying the options for delivering identified micronutrients (e.g., which foods, which oral supplements, which nutrition therapy formulas, etc.), the system can recommend the best option for the individual based on multiple factors (such as cost, effectiveness, availability of individual locations, personal preferences, etc.). After the individual receives micronutrients through the recommended approach, feedback on the effectiveness of the micronutrients and the recommended approach can be received. The feedback can be subjective (e.g., instructions from the individual about how the individual feels, whether the symptoms are alleviated, etc.) and / or objective (e.g., vital signs, blood tests, etc.). This feedback can be used to update the mapping between contextual information and micronutrients and / or the approach to provide micronutrients. Therefore, as noted above, over time, the mapping becomes more accurate and more specific because the system forms a more complete understanding of how each factor and combination of factors affect nutrient requirements.

[0028] The systems and methods can be used in a variety of situations. For example, in some embodiments, the systems can be used to receive specific one-time recommendations, or they can be used to receive long-term nutrition plans. As another example, the system can provide recommendations prospectively, or they can provide recommendations only in response to inquiries from users. The system can also be used in specific contexts, such as when shopping for groceries, to determine the actions to be taken. In addition, the recommendations can be nutritional recommendations, or they can be another health-related or lifestyle-related recommendation (e.g., increase physical activity). In some embodiments, the systems and methods disclosed herein can use any one or all of the features or principles disclosed in U.S. Patent Application No. 17 / 876,352, filed on July 28, 2022, U.S. Patent Application No. 17 / 876,383, filed on July 28, 2022, and U.S. Patent Application No. 17 / 880,920, filed on August 4, 2022, the disclosure of each of which is incorporated herein by reference in its entirety.

[0029] For example, Figure 1An example system (e.g., system 100) for creating context-based personalized nutrition plans and recommendations is shown in FIG. The system 100 may include one or more servers 110, an electronic device 120, a plurality of sensors 130 in communication with the electronic device 120, and a network 140 through which the electronic device 120 can communicate with the one or more servers 110. In some embodiments, the system 100 may include one or more wearable devices 160 (such as watches) configured to communicate with the electronic device 120 (e.g., via a personal area network 125) and / or communicate with the server 110 through the network 140. In some embodiments, the system 100 may also include a genetic testing kit 150. The genetic testing kit 150 may be configured to determine genetic information of an individual.

[0030] 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 allow electronic device 120 to communicate with server 110. In some embodiments, network 140 may also allow communication between multiple electronic devices 120 (see Figure 2 ).

[0031] In some embodiments, the 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 related to nutrient sources / pathways, and mappings between micronutrients and nutritional determinants. In some embodiments, the system 100 includes only one server 110. In some embodiments, different servers 110 are used for different databases. Figure 1An example is shown in . For example, a server 110 in system 100 can be a server 210 including a processor 220 and a storage device 230, and the storage device includes a food micronutrient database. The food micronutrient database includes food nutrient data of a variety of foods. A variety of foods may include different foods and dishes from all over the world. In some embodiments, these foods and dishes include home-cooked dishes or recipes, food products sold in grocery stores, ingredients of recipes, menu items from restaurants, or any other food or dishes. Detailed information about any one of these foods and dishes may be included in the food micronutrient database. For example, for each food, food nutrient data may include approximate data, inorganic data, micronutrient data, vitamin score data, fatty acid composition data, and / or bioactive compound data. Therefore, a complete understanding of the nutrients obtained by eating specific foods is stored in a food micronutrient database. In some embodiments, food nutrient data may be obtained from companies (e.g., grocery stores, restaurants, producers, manufacturers, etc.) that provide various food items. As an alternative to storing such information, server 210 may be configured to access such data from other databases or otherwise pull such 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 Ser. No. 17 / 876,383, filed on July 28, 2022, which is incorporated herein by reference.

[0032] One of the servers 110 in the system 100 may be a server 310 including a processor 320 and a storage device 330 including an oral supplement micronutrient database. Although multiple databases are referenced within the present disclosure to store various nutrients, micronutrients, therapy, and other data, it should be understood that each of the various databases, while referenced by name as a separate database, may be part of a larger database and included within different sub-tables of the same database, or simply part of one or more databases having distinguishing data elements that distinguish database categories of different names.

[0033] Based on this understanding, the oral supplement micronutrient database includes nutrient data for a variety of oral supplements. A complete understanding of the nutrients obtained by taking a specific 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 such information, the server 310 can be configured to access such data from other databases or otherwise pull such information from resources accessible via the Internet (network 140).

[0034] The inhaled nutrition therapy micronutrient database includes nutrient data for multiple inhaled therapies. A complete understanding of the nutrients obtained by taking a specific inhaled nutrition therapy is stored in the inhaled nutrition therapy micronutrient database. In some embodiments, nutrient data is provided by the manufacturer or provider of each inhaled nutrition therapy. As an alternative to storing this information, server 310 can be configured to access this data from other databases or otherwise pull this information from resources accessible through the Internet (network 140).

[0035] A server 110 in the system 100 can be a server 410 including a processor 420 and a storage device 430, which includes an IV micronutrient database. The IV micronutrient database includes nutrient data for multiple IV formulas. The IV formula can be an existing formula selected based on the micronutrient needs of an individual, as disclosed in U.S. Patent Application No. 17 / 876,352 filed on July 28, 2022, which is incorporated herein by reference. In some embodiments, the processor 420 can be used to develop a new IV formula (e.g., by modifying an existing formula, creating a new formula from scratch, etc.) based on the micronutrient needs of an individual, as disclosed in U.S. Patent Application No. 17 / 876,352 filed on July 28, 2022 or U.S. Patent Application No. 17 / 880,920 filed on August 4, 2022, which is incorporated herein by reference. A complete understanding of the nutrients obtained by accepting a specific IV formula is stored in the IV micronutrient database. In some embodiments, the nutrient data is provided by the manufacturer or provider of each IV formula. As an alternative to storing such information, server 410 may be configured to access such data from other databases or otherwise pull such information from resources accessible via the Internet (network 140).

[0036] One of the servers 110 in the system 100 may be a server 510 including a processor 520 and a storage device 530. In some embodiments, the server 510 may be a third-party server associated with a different app or service on the electronic device 120, such as a fitness tracking app or service. The storage device 530 may include health and fitness information associated with the fitness tracking app or service. This is just one example. In other examples, the server 510 may be associated with any other app or service related to any nutritional determinants (additional nutritional determinants are discussed below). Providing the system 100 with access to the server 510 may improve the functionality of the system 100 and other systems and methods disclosed herein.

[0037] Other servers similar to those discussed above may also be included. For example, there may be a server 110 dedicated to a local 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.

[0038] In some embodiments, there may be a server 110 dedicated to a user library that stores a profile of each individual using the system 100 (e.g., each recipient based on food, oral supplements, topical supplements, IV formulas, IM formulas, etc. using the 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 for the user. Thus, the profile may contain and track any or all of the nutritional determinants discussed herein for that particular user. In some embodiments, the user may enter or update such data via their electronic device 120. In some embodiments, the server 110 may retrieve such data from other apps or services associated with the user's electronic device and / or from the server 510. In some embodiments, other users (e.g., healthcare providers) may obtain access to another user's profile to enter or update data (e.g., genetic data, medical data, etc.).

[0039] In some embodiments, there may be a server 110 dedicated to mapping contextual information to micronutrients. The mapping may have any of the features disclosed in the mapping disclosed in U.S. Patent Application No. 17 / 876,352, filed on July 28, 2022, U.S. Patent Application No. 17 / 876,383, filed on July 28, 2022, or U.S. Patent Application No. 17 / 880,920, filed on August 4, 2022, or use any of the principles disclosed in the mapping, the disclosure of which is incorporated herein by reference in its entirety. When the system 100 is used and feedback is received after treating an individual with the identified micronutrients and the recommended pathways for delivering the micronutrients, the mapping on the server 110 is continuously updated. Therefore, treating multiple individuals with different contextual information improves the system 100 and the methods disclosed herein, making them more accurate and specific to the individual's condition.

[0040] In some embodiments, there may be a main server 110 with which the electronic device 120 primarily communicates, and the main server may retrieve information from other servers 110. The main server 110 may be any of the servers 110 discussed above or a separate server 110.

[0041] The processor of the server 110 (e.g., processor 220, 320, 420, 520) may simply be used to retrieve information from a database or storage device (e.g., storage device 230, 330, 430, 530) of the server 110. For example, the processor 220, 320, 420, 520 may receive a request for information from the electronic device 220 (e.g., a request for food options, oral supplement options, and / or IV or IM nutritional therapy formula options that provide specific micronutrients, or a request for lifestyle / health-related recommendations, etc.), and the processor 220, 320, 420, 520 may retrieve the requested information and cause it to be sent to the electronic device 120 via the network 140. In this case, the electronic device 120 will complete more processing to perform the methods disclosed herein. In other embodiments, the processor of the server 110 may be configured to perform more of the disclosed methods at the server itself. In this case, the server 110 will complete more processing to perform the methods disclosed herein and provide the output to the individual at the electronic device 120. Any division of the method steps disclosed herein between the electronic device 120 and the server 110 is within the scope of the present disclosure. A user of the electronic device 120 may not notice a difference between the electronic device 120 or the server 110 performing more processing. Additional details about the methods performed by the server 110 and / or the electronic device 120 are discussed below.

[0042] Electronic device 120 can be a smart phone, tablet computer, desktop computer, laptop computer, smart watch or some other type of electronic device. In some embodiments, electronic device 120 is configured to run multiple applications. An application can be dedicated to system 100 and method disclosed herein (e.g., for creating nutrition plan and recommendation and other health-related recommendation or lifestyle recommendation). In some embodiments, electronic device 120 is configured to receive information about the nutritional determinants of the user, such as individual genetic information, individual medical information, individual treatment goals and individual lifestyle information and other nutritional determinants (e.g., culture, habit, environment, etc.) discussed herein. Nutritional determinant information can be received from a variety of sources. For example, nutritional determinant information can be received from one or more sensors 130 (discussed below), from wearable device 160, from other applications on electronic device 120 (discussed below), from user input on user interface, from server (e.g., previously saved information), from genetic testing and / or from medical providers.

[0043] As an example of receiving information, in some embodiments, a dedicated application for creating a nutrition plan and recommendations on an electronic device 120 may have access to information related to other applications on the 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 related to the user's culture, lifestyle, environment, habits, or other nutritional determinants. In some embodiments, a user may link an account from other applications to a dedicated application for creating a nutrition plan and recommendations. Information related to other applications may be information obtained when using other applications, or may be any information stored in relation to other applications or collected for other applications. In some embodiments, a dedicated application for creating a nutrition plan and recommendations obtains information related to other applications by retrieving information stored on the electronic device 120 itself (e.g., from one of the other applications). In some embodiments, the dedicated application obtains information from a server 110 (e.g., server 510) associated with the other applications.

[0044] In some embodiments, the system 100 includes a plurality of sensors 130 in communication with the electronic device 120. One or more of the sensors 130 may be part of the electronic device 120. For example, there may be a sensor 130 disposed within or on the electronic device 120 (see Figure 3 ). In some embodiments, one or more of the sensors 130 are separate from the electronic device 120, for example as a stand-alone device or as part of the wearable device 160. In some embodiments, the system 100 may include at least one sensor 130 as part of the electronic device 120 and at least one sensor 130 separate from the electronic device 120. In some embodiments, the sensor 130, the wearable device 160, and the electronic device 120 may communicate with each other as part of the personal area network 125. In some embodiments, the sensor 130, the wearable device 160, and the electronic device 120 are configured to communicate with each other via Bluetooth or some other wireless communication protocol. In some embodiments, the sensor 130, the wearable device 160, and the electronic device 120 are configured to communicate via a hardwired connection. In some embodiments, the genetic testing kit 150 may also be configured to communicate with the electronic device 120 (e.g., via Bluetooth, as part of the personal area network 125, via a hardwired connection, etc.).

[0045] In some embodiments, the system 100 includes different types of sensors 130. For example, the sensors 130 may include a location 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 (such as a blood glucose monitor, for example). For example, the 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, a heart rate sensor 135 may sense data (e.g., heart rate) that provides medical information for a user.

[0046] The data sensed by the sensor 130 may also be indirectly related to nutritional determinants. As an example, a location sensor 131 (such as a GPS sensor) may sense location data (and thus determine the location of an individual), and then use the location data to obtain information about nutritional determinants. For example, air quality data associated with the location of an individual may be retrieved based on the location data sensed by the location sensor 131. Other data associated with the location of an individual, such as weather data, may also be retrieved. The location data from the location 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., if an individual is located in a high-stress position (such as a workplace), a higher stress level is assumed, thereby assuming that dietary constraints depend on geographic location, etc.). As another example, the system 100 may use the location data from the location sensor 131 to adjust nutritional plans and recommendations. If an individual is in a specific country or region where a certain food, nutritional supplement, or IV therapy, etc., is not available (or if a specific country does not allow access to a certain food, nutritional supplement, or IV therapy, etc.), the system 100 may automatically adjust its recommendations to the best options available based on the user's location, even if this is not the best overall option. In some embodiments, system 100 may have regional rules configured to accommodate a particular country or region.

[0047] 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 retrieve data obtained by the sensor from or for other applications. As noted above, such data may be obtained from other servers 510. Alternatively, data may be retrieved from an online database. In some embodiments, the sensor 130 may be intended for use specifically with the systems and methods disclosed herein.

[0048] In some embodiments, the system 100 may include a plurality of electronic devices 120, such as Figure 2 Although Figure 2Only the server 110, the network 140 and the electronic device 120 are shown, but Figure 2 Each electronic device 120 in the system 100 may be associated with an individual who is using the system 100. Thus, for each of these individuals, there may be multiple sensors 130, wearable devices 160, and / or genetic testing kits 150 (e.g., Figure 1 ). The system 100 may include any number of electronic devices 120 (e.g., tens, hundreds, thousands, millions, etc.). The more individuals using the system 100, the more accurate, specific, and complete the mapping will be, thereby improving the overall health of society and reducing the risk of chronic diseases.

[0049] exist Figure 3 A schematic diagram of an example electronic device 120 is shown in FIG. In this example, the 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, the electronic device 120 may have fewer sensors 130, or may have one or more additional sensors 130, such as Figure 3 In some embodiments, the electronic device 120 includes a processor 122, a transceiver 124, a user interface 126, and / or a display 128. In some embodiments, the processor 122 is configured to perform one or more of the operations of the method disclosed herein (e.g., retrieving information, identifying micronutrients, identifying nutritional pathways that provide micronutrients, making recommendations, etc.). In some embodiments, the transceiver 124 is configured to send and receive information to other components of the system 100, which include a server 110 (e.g., server 210, 310, 410, 510), other electronic devices 120, independent sensors 130, and wearable devices 160. In some embodiments, the electronic device 120 includes multiple transceivers to facilitate different types of communication (e.g., through the network 140, via a personal area network 125, via Bluetooth, etc.). In some embodiments, the user interface 126 is configured to receive input from an individual. The received input can be information entry related to nutritional determinants, requests for plans and / or recommendations, feedback on previously consumed foods, supplements, or treatments, and / or user preferences. In some embodiments, display 128 is configured to display plans / recommendations, requests to the user (e.g., to enter information, enter feedback, etc.), the user's profile / history, communications from medical providers, etc. Figure 3 The user interface 126 and the display 128 are schematically shown separately, but they may be combined (eg, as a touch screen on the electronic device 120 ).

[0050] In some embodiments, system 100 includes one or more mappings of nutritional determinants to micronutrients. The mapping may be based on scientific literature and / or results from previous food intake, supplement intake, and therapy treatment. The mapping may have the characteristics of mapping disclosed in U.S. Patent Application No. 17 / 876,352 filed on July 28, 2022, U.S. Patent Application No. 17 / 876,383 filed on July 28, 2022, or U.S. Patent Application No. 17 / 880,920 filed on August 4, 2022, the disclosure of which is incorporated herein by reference in its entirety. Each individual has different nutritional determinants, for example, due to living a different lifestyle, facing different exposures, following specific behaviors, and / or having different genotypes. In order to make appropriate plans / recommendations for a specific individual, system 100 collects nutritional determinant information for the specific individual. Nutritional determinants may include medical information, treatment goals, lifestyle information, habits, stress levels, and genetic information.

[0051] Examples of medical information include an individual's personal medical history, family medical history, diseases for which the patient is at increased 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 biological data captured and measured through various processes, which may include blood tests, urine sampling (e.g., toxicology screening, etc.), stool sampling, continuous glucose monitoring, and imaging / scanning (e.g., ultrasound, etc.). Devices for collecting medical information may include blood pressure monitors, heart rate monitors, body water monitors, breath analyzers, blood glucose monitors, metabolic devices, pulse oximeters, and wearable devices configured to measure any type of biological data. Other medical information may also be used as nutritional determinants.

[0052] Examples of treatment goals include health goals, beauty goals, or fitness goals. A treatment goal may be to lose weight, gain weight, increase fitness level, increase energy level, change skin tone (to a darker or lighter tone), improve skin quality and / or health, improve hair quality and / or health, increase mental acuity, prevent disease, improve symptoms of an existing illness or disease, improve sleep quality, increase longevity / anti-aging, prevent excessive stress, prevent toxin exposure (e.g., from pollution, chemicals, alcohol, etc.), rehydrate, support immune health, and / or heal wounds. Other treatment goals may also be used.

[0053] The example of lifestyle information includes individual physical activity, mental activity, occupation, social network, current and / or previous food selection and diet, financial security, culture / custom, preference, geographic location, travel and exposure to pathogens, chemicals, pollution, heavy metals and radiation. Some of these nutritional determinants may be related to each other. In addition, some of these nutritional determinants may be used to obtain additional nutritional determinants. For example, geographic location may be used to obtain information about pollution level / air quality, weather and other geographical influences that may affect individual nutrient requirements. Whether an individual lives in a polluted area of ​​the world (and therefore has poor detoxification ability) may affect the individual nutrient requirements and should be considered. As another example, geographic location may be used to determine individual social network (for example, by determining who the individual spends time with). Therefore, the use of system 100 goes far beyond the recommendation of copying doctors, because it utilizes much more data and understands how the data may affect individual nutrient requirements and what results will be achieved for a given set of situations. Other lifestyle information may also be used as nutritional determinants.

[0054] Habits and stress levels can 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 determinants of nutrition include physical stress and mental stress. Other habits and stress levels can also serve as determinants of nutrition.

[0055] Examples of genetic information include genes, genotypes, genomes, single nucleotide polymorphisms (SNPs), gene profiles, exogenous gene profiles, or other genetic data fragments of an individual. In some embodiments, the genetic information includes exogenous gene measurements (e.g., exogenous gene clocks, methylation scores, etc.). Other genetic information may also be used as nutritional determinants.

[0056] In some embodiments, the nutritional determinants may be received by user input at the electronic device 120. In some embodiments, the nutritional determinants may be received from other applications on the electronic device 120. In some embodiments, the nutritional determinants may be received via the sensor 130 and / or the wearable 160. In some embodiments, the nutritional determinants may be retrieved based on the data received by the sensor 130. In some embodiments, the nutritional determinants may be determined based on the data received by the sensor 130 and / or the information input into the electronic device 120 by the user. The system 100 may be configured to use any nutritional determinants that can be used to identify the micronutrients of the nutritional plan / recommendation and recommend the way to provide nutrition for a specific individual. Similarly, the system 100 may be configured to use any nutritional determinants that can be used to evaluate the feedback of how a specific micronutrient / nutritional way works for a specific individual to provide information and update the mapping for future users.

[0057] Once one or more micronutrients have been identified (based on individual nutritional determinants and the mapping stored at server 110), system 100 may be configured to recommend a specific approach or delivery method for micronutrients. Micronutrients may be delivered via food, oral supplements, intravenous nutrition therapy formulas, intramuscular nutrition therapy formulas, or local supplements. As discussed above, server 110 may include one or more databases for these nutritional approaches, which provide a complete understanding of the nutrients accepted by consuming / taking / accepting food, oral supplements, IV formulas, IM formulas, and local supplements. Other delivery routes may also be used. System 100 may recommend nutritional approaches based on effectiveness, cost, user preferences, availability, and other factors for individual unique situations.

[0058] Thus, using the received / retrieved / determined information related to nutritional determinants, the system 100 provides a set of precision nutrition products and services that take into account the individuality of each user and combine it with different nutritional approaches (e.g., food, oral supplements, IV, etc.), and can monitor efficacy and safety on a global scale. Using nutritional determinant information, the system 100 can use artificial intelligence and machine learning to observe patterns and trends related to nutritional health that can revolutionize scientific discovery, and can develop new products and services to promote health and wellness. Thus, the system 100 can help prevent disease, slow signs of aging, maintain metabolic function, and promote growth and development.

[0059] In some embodiments, the system 100 is configured to automatically map the individual's symptoms / diseases / disorders, the individual's genes, the individual's personal conditions, and the individual's health goals (i.e., nutritional determinants) to one or more micronutrients known to be clinically effective in treating the patient's specific conditions, and recommend nutritional therapies (IV or IM), supplements (oral or topical), or foods that will help the individual. The system 100 is also configured to subsequently obtain feedback on how the recommended nutritional pathways work, and then update the mapping of nutritional determinants to micronutrients (and / or nutritional pathways) to treat the next person. Therefore, over time, the effectiveness of the system 100 is improved with a more complete mapping of how each nutritional determinant and determinant combination affects the required micronutrients and the effectiveness of each nutritional pathway.

[0060] In some embodiments, system 100 is used to perform a method for creating context-based personalized nutrition recommendations for reducing disease risk. At a high level, as discussed above, the method may include receiving information about an individual (e.g., nutrition determinants), identifying one or more micronutrients based on the nutrition determinants of the individual, identifying one or more nutrition pathways that provide the identified one or more micronutrients, and recommending one of the nutrition pathways based on multiple factors.

[0061] In some embodiments, receiving information about an individual includes receiving any nutritional determinants discussed in the present application and any combination of these nutritional determinants. As an example, receiving information about an individual includes receiving genetic information, medical information and treatment goals of the individual. In some embodiments, receiving information about an 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, habit and preference about the individual. This information can be received at electronic device 120 (for example, by user input at user interface 126, from sensor 130, from wearable device 160 or from server 110). In some embodiments, genetic information is determined by genetic testing (for example, genetic testing kit 150). This information can be sent to electronic device 120 by network 140 and / or personal area network 125, or can be entered by user interface 126.

[0062] In some embodiments, the location of the individual is determined using a location sensor 131. In some embodiments, data associated with the location of the individual is retrieved. The data may include real-time air quality data. Thus, the electronic device 120 may be configured to determine real-time air quality data based on the location data from the location sensor 131. Other data associated with the location of the individual that may be retrieved include weather, cultural, and environmental data at the location of the individual and available nutrition pathway options (e.g., available food options, oral supplements, topical treatments, inhaled treatments, intravenous nutrition therapy formulas, and intramuscular nutrition therapy formulas).

[0063] In some embodiments, fitness data of an individual 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 be part of wearable device 160) may collect heart rate data. In some embodiments, electronic device 120 is configured to determine fitness data of an individual based on the motion data and the heart rate data.

[0064] In some embodiments, identifying one or more micronutrients of an individual based on the nutritional determinants of the individual may include identifying one or more micronutrients based on the genetic information, medical information, treatment goals, lifestyle information, and fitness data of the individual and based on real-time air quality data associated with the location of the individual. In some embodiments, the system 100 is configured to identify micronutrients in response to a recommendation request from an individual. For example, the recommendation request may be received at the electronic device 120 by an individual using the electronic device 120. In response to the recommendation request, the electronic device 120 may identify one or more micronutrients. For example, the electronic device 120 may communicate with the server 110 via the network 140 to retrieve relevant details from the mapping of nutritional determinants to micronutrients, and thereby identify micronutrients suitable for the particular individual in view of the individual's contextual information (i.e., nutritional determinants).

[0065] After identifying the micronutrient, the nutritional pathway that provides the micronutrient can be identified. In some embodiments, identifying one or more nutritional pathways that provide the identified one or more micronutrients includes identifying at least two of the foods, oral supplements, local treatments, inhaled nutritional treatments, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas that provide the identified one or more micronutrients. For example, food and oral supplements can be identified, both of which contain the identified micronutrients. In some embodiments, food, oral supplements, local treatments, inhaled nutritional treatments, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas can be identified. In some embodiments, multiple options (e.g., two or more foods, two or more oral supplements, etc.) under each nutritional pathway can be identified. The electronic device 120 can identify the nutritional pathway by communicating with the server 110 through the network 140 to retrieve the options of the nutritional pathway that provides the identified micronutrients from the database discussed above.

[0066] After the nutritional pathway has been identified, the system 100 may recommend one of the identified pathways based on a number of factors. In some embodiments, the electronic device 120 makes a recommendation. For example, based on the cost of each of the food, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas, the individual's financial security, and the effectiveness of each of the food, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas in providing the identified one or more micronutrients, the electronic device 120 may recommend one of the food, oral supplements, topical treatments, inhaled nutritional therapy, intravenous nutritional therapy formulas, and intramuscular nutritional therapy formulas. Other factors may also be considered, such as the availability of a particular nutritional pathway at the individual's location, the ease of securing the nutritional pathway, the individual's preferences, etc.

[0067] The electronic device 120 may be configured to balance factors that affect the recommendation in different ways. In some embodiments, the user may change the way the electronic device 120 is configured to balance the factor, which may be based on the user's expectations / preferences, advice from the user's medical provider, and / or certain conditions. In some embodiments, the electronic device 120 is configured to recommend the most effective treatment that provides the identified micronutrients, regardless of cost. In some embodiments, the electronic device 120 is configured to recommend the most cost-effective nutritional approach (even if not as effective as other approaches) that provides at least some benefits for the user's specific condition by providing the identified micronutrients. In some embodiments, the electronic device 120 is configured to optimize effectiveness and cost. For example, if a nutrient source is expensive but only slightly better than another more affordable method (such as taking a vitamin C pill instead of eating an orange), the electronic device 120 may recommend a cheaper, almost equally effective option.

[0068] Whether the electronic device 120 prioritizes cost or effectiveness can be a setting selected by the user, or the electronic device 120 can be configured to base such priority on other factors, such as the individual's financial security. For example, in the case where the individual has low financial security, the electronic device 120 can prioritize cost and recommend cheaper options. Thus, the system 100 can provide inexpensive food recommendations that help the user's illness or symptoms as an alternative to seeing a doctor immediately. On the other hand, in the case where the individual has high financial security, the electronic device 120 can prioritize effectiveness and give less weight to cost. In some embodiments, the electronic device 120 can present multiple options, each indicating effectiveness and cost (or other characteristics), while allowing the user to choose which option to take.

[0069] In some embodiments, nutritional determinants influence the ultimate recommendation for which nutritional approach to take. For example, an individual with diabetes may be given a recommendation (eg, by electronic device 120) for oral supplements rather than foods containing too much sugar.

[0070] In some embodiments, the recommendation is performed by a first application (such as the dedicated application discussed above) on the electronic device 120. In some embodiments, receiving the lifestyle information includes retrieving data associated with a second application (such as the other applications discussed above) on the electronic device 120.

[0071] In some embodiments, the method includes developing a nutrition plan based on nutrition determinants (e.g., the individual's genetic information, medical information, treatment goals, lifestyle information, and fitness data). The nutrition plan may be adjusted based on real-time air quality data associated with the individual's location. The nutrition plan may also be adjusted based on the individual's updated medical information, treatment goals, or lifestyle information.

[0072] In some embodiments, system 100 can be used in a specific context. For example, in some embodiments, system 100 can be used when shopping. In some embodiments, electronic device 120 is configured to use a dedicated scanner or camera on electronic device 120 to scan food items at a store (e.g., grocery store). Then, electronic device 120 can determine which food item is best for the individual based on the genetic information and other nutritional determinants of the individual. Similar methods can be used for online shopping, where electronic device 120 either scans the identifier of the item, or when the user is using another application on electronic device 120 to shop, communicates with another application that the individual is using to shop online. A restaurant can also use a similar method when deciding menu items. In some embodiments, system 100 can provide recommendations for specific foods or nutrients to be avoided (e.g., avoid salty foods today, etc.).

[0073] In some embodiments, the system 100 may be used when purchasing oral supplements, topical supplements, or medications at a pharmacy. For example, the electronic device 120 may scan supplements, 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 may alternatively be used for cosmetic products applied to the individual's skin to identify products that best fit the individual's genetic, medical, and other contextual information.

[0074] In some embodiments, the system 100 may provide recommendations in addition to nutrient recommendations. For example, the system 100 may provide recommendations to modify a person's lifestyle, such as increasing physical activity, eliminating bad habits, changing environment, moving to a new geographic location, or changing jobs, etc. This may be appropriate in situations where it is difficult to identify appropriate micronutrient sources in light of specific nutritional determinants or where micronutrients alone are insufficient to address specific symptoms or conditions.

[0075] In some embodiments, the system 100 can be used to create and / or modify food items, oral supplements, topical supplements, IV nutritional therapy formulas, or IM nutritional therapy formulas. For example, as the mapping is continuously updated, manufacturers or producers of these nutritional pathways can identify certain populations or categories that would benefit from a different or improved combination of micronutrients and design supplements, foods, or therapeutic formulas for that group of people. Alternatively, the manufacturer or producer may learn that a certain supplement, food, or therapeutic formula is not effective and can make adjustments to improve its effectiveness.

[0076] As discussed above, the systems and methods disclosed herein may be implemented partially or completely by a computer through software running on or associated with a computer, or an application program accessible by a 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.

[0077] The specific computing device 900 may represent various forms of digital computers, such as laptops, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframes, and / or other suitable computers. The specific mobile computing device 950 may represent various forms of mobile devices, such as smart phones, camera phones, personal digital assistants, cellular phones, and other similar mobile devices. The components shown here, their connections, couplings and relationships, and their functions are intended to be exemplary only, and are not intended to limit the embodiments described and / or claimed according to one embodiment.

[0078] The 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 a plurality of 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 components thus far may be coupled to each other using various buses and may be mounted on a common motherboard and / or otherwise as appropriate. According to one embodiment, the processor 902 may process instructions for execution in the particular computing device 900, including instructions stored in the memory 904 and / or on the storage device 906, to display graphical information of a GUI on an external input / output device such as a display unit 916 coupled to the high-speed interface 908.

[0079] In other embodiments, multiple processors and / or multiple buses may be used, as appropriate, along with multiple memories and / or multiple types of memory. In addition, multiple specific computing devices 900 may be coupled (e.g., as a server bank, blade server cluster, and / or multi-processor system), with each device providing portions of the necessary operations.

[0080] Memory 904 may be coupled to a particular computing device 900. In one embodiment, memory 904 may be a volatile memory. In another embodiment, memory 904 may be a non-volatile memory. Memory 904 may also be another form of computer-readable medium, such as a magnetic disk and / or 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 magnetic tape device, a flash memory device, and / or other similar solid-state memory device. In another embodiment, storage device 906 may be an array of devices in the computer-readable medium previously mentioned so far, including devices in a storage area network and / or other configurations.

[0081] The computer program may include instructions that, when executed, perform one or more methods, such as those described above. The instructions may be stored in the memory 904, the storage device 906, a memory coupled to the processor 902, and / or a propagated signal.

[0082] The high-speed interface 908 can manage bandwidth-intensive operations of a particular computing device 900, while the low-speed interface 912 can manage less bandwidth-intensive operations. This allocation of functions is exemplary only. In one embodiment, the high-speed interface 908 can be coupled to the memory 904, the display unit 916 (e.g., through a graphics processor and / or accelerator), and a plurality of high-speed expansion ports 910 that can accept various expansion cards.

[0083] In this embodiment, the low-speed interface 912 can be coupled to the storage device 906 and the low-speed bus 914. The low-speed bus 914 can include a wired and / or wireless communication port (e.g., a universal serial bus ("USB"), The low-speed bus 914 may also be coupled to a scanning unit 928, a printer 926, a keyboard, a mouse 924, and networking devices (eg, switches and / or routers) through a network adapter.

[0084] The specific computing device 900 can be implemented in a variety of different forms, as shown. In one embodiment, the specific computing device 900 can be implemented as a standard server 918 and / or a group of such servers. In another embodiment, the specific computing device 900 can be implemented as a part of a rack server system 922. In yet another embodiment, the specific computing device 900 can be implemented as a general-purpose computer 920, such as a laptop or desktop computer. Alternatively, a component from the specific computing device 900 can be combined with another component in the specific mobile computing device 950. In one or more embodiments, the entire system can be composed of multiple specific computing devices 900 and / or multiple specific computing devices 900 coupled to multiple specific mobile computing devices 950.

[0085] In one embodiment, a particular mobile computing device 950 may include a mobile compatible processor 952, a mobile compatible memory 954, and other components such as an input / output device (such as a mobile display 966), a communication interface 972, and a transceiver 958. The particular mobile computing device 950 may also be provided with a storage device (such as a micro drive or other device) to provide additional storage. In one embodiment, the components indicated thus far are coupled to each other using various buses, and several of the components may be mounted on a common motherboard.

[0086] The mobile-compatible processor 952 can execute instructions in the specific mobile computing device 950, including instructions stored in the mobile-compatible memory 954. The mobile-compatible processor 952 can be implemented as a chipset including a separate chip with multiple analog and digital processors. The mobile-compatible processor 952 can provide, for example, coordination of other components of the specific mobile computing device 950, such as control of a user interface, applications run by the specific mobile computing device 950, and wireless communications through the specific mobile computing device 950.

[0087] The mobile compatible processor 952 can communicate with the user through the control interface 956 and the display interface 964 coupled to the mobile display 966. In one embodiment, the mobile display 966 can be a thin film transistor liquid crystal display ("TFT LCD"), an organic light emitting diode ("OLED") display, and another suitable display technology. The display interface 964 may include appropriate circuitry for driving the mobile display 966 to present graphics and other information to the user. The control interface 956 may receive commands from the user and convert them for submission to the mobile compatible processor 952.

[0088] In addition, external interface 962 can communicate with mobile-compatible processor 952 to enable near-area communication of the particular mobile computing device 950 with other devices. 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.

[0089] The mobile-compatible memory 954 may be coupled to the particular mobile computing device 950. The mobile-compatible memory 954 may be implemented as a volatile memory and a non-volatile memory. The expansion memory 978 may also be coupled to the particular mobile computing device 950 via an expansion interface 976, which may include, for example, a single in-line memory module (“SIMM”) card interface. The expansion memory 978 may provide additional storage space for the particular mobile computing device 950, or may also store applications or other information for the particular mobile computing device 950.

[0090] Specifically, the expansion memory 978 may include instructions for performing the processes described above. The expansion memory 978 may also include security information. For example, the expansion memory 978 may be provided as a security module for a particular mobile computing device 950 and may be programmed with instructions that permit secure use of the particular mobile computing device 950. Additionally, a security application may be provided on a SIMM card along with additional information, such as placing identification information on the SIMM card in an unbreakable manner.

[0091] The mobile-compatible memory may include volatile memory (e.g., flash memory) and non-volatile memory (e.g., non-volatile random access memory ("NVRAM")). In one embodiment, the computer program includes a set of instructions that, when executed, performs one or more methods. The set of instructions may be stored in the mobile-compatible memory 954, the expansion memory 978, a memory coupled to the mobile-compatible processor 952, and a propagated signal that may be received, for example, by the transceiver 958 and / or the external interface 962.

[0092] 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 a Global System for Mobile Communications (“GSM”) protocol, a Short Message Service (“SMS”) protocol, an Enhanced Messaging System (“EMS”) protocol, a Multimedia Messaging Service (“MMS”) protocol, a Code Division Multiple Access (“CDMA”) protocol, a Time Division Multiple Access (“TDMA”) protocol, a Personal Digital Cellular (“PDC”) protocol, a Wideband Code Division Multiple Access (“WCDMA”) protocol, a CDMA2000 protocol, and a General Packet Radio Service (“GPRS”) protocol.

[0093] 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 Wi-Fi and / or other such transceivers. Additionally, a GPS (“Global Positioning System”) receiver module 974 can provide additional navigation-related and location-related wireless data to the particular mobile computing device 950, which can be used as appropriate by software applications running on the particular mobile computing device 950.

[0094] Certain mobile computing devices 950 may also communicate audibly using an audio codec 960, which may receive verbal information from a user and convert it into usable digital information. Audio codec 960 may also generate audible sounds for the user, such as through a speaker (e.g., in a handheld smartphone of a certain mobile computing device 950). Such sounds may include sounds from voice phone calls, recorded sounds (e.g., voice messages, music files, etc.), and may also include sounds generated by applications running on the certain mobile computing device 950.

[0095] The specific mobile computing device 950 can be implemented in a variety of different forms, as shown. In one embodiment, the specific mobile computing device 950 can be implemented as a smart phone 968. In another embodiment, the specific mobile computing device 950 can be implemented as a personal digital assistant ("PDA"). In yet another embodiment, the specific mobile computing device 950 can be implemented as a tablet device 970.

[0096] Various embodiments of the systems and techniques described herein may be implemented in digital electronic circuit systems, integrated circuit systems, specially designed application specific integrated circuits ("ASICs"), computer hardware pieces, firmware, software applications, and combinations thereof. These various embodiments may include embodiments in one or more computer programs that may be executed and / or interpreted on a programmable system including a programmable processor, which may be special purpose or general purpose, coupled to receive data and instructions from and send data and instructions to a storage system, an input device, and at least one output device.

[0097] These computer programs (also referred to 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 in assembly / machine language. 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., a disk, optical disk, memory, and / or programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0098] To provide interaction with a user, the systems and techniques described herein can be implemented on a computing device having a display device (e.g., a cathode ray tube ("CRT") and / or a liquid crystal display ("LCD") monitor) for displaying information to the user, and a keyboard and mouse through which the user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, and / or tactile feedback), and the input from the user can be received in any form, including acoustic, verbal, and / or tactile input.

[0099] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), middleware components (e.g., an application server), front-end components (e.g., a client computer with a graphical user interface and / or a Web browser through which a user can interact with embodiments of the systems and techniques described herein), and any combination thereof. The components of the system can also be coupled via a communication network.

[0100] The communication network may include a local area network ("LAN") and a wide area network ("WAN") (e.g., the Internet). The computing system may include clients and servers. In one embodiment, the client and server are remote from each other and interact through the communication network.

[0101] A variety of embodiments have been described. However, it should be understood that various modifications may be made without departing from the spirit and scope of the claimed invention. In addition, the logic flows depicted in the figures do not require the particular order or sequential order shown to achieve the desired results. In addition, other steps may be provided, or steps may be deleted from the described flows, and other components may be added to or removed from the described systems. Therefore, other embodiments are within the scope of the following claims.

[0102] It will be appreciated that the various systems, methods, and apparatus disclosed herein may be embodied in a machine-readable medium and / or a machine-accessible medium compatible with a data processing system (eg, a computer system) and / or may be executed in any order.

[0103] The structures and modules in the figures may be shown as distinct and communicate with only a few specific structures and not with other structures. The structures may be merged with each other, may perform overlapping functions, and may communicate with other structures not shown as connected in the figures. Therefore, the description and / or drawings may be regarded as illustrative rather than restrictive.

[0104] Where the above examples, embodiments, and implementations refer to examples, it will be understood by those of ordinary skill in the art that other use cases, execution environments, and data structures may be mixed with or substituted for those provided. Where the above description refers to specific embodiments of personalized therapy systems or methods, it should be readily apparent that many modifications may be made without departing from the spirit thereof, and that these embodiments and implementations may also be applied to other personalized therapy systems and methods. Accordingly, the disclosed subject matter is intended to encompass all such alterations, modifications, and variations that fall within the spirit and scope of the present disclosure and the knowledge of those of ordinary skill in the art.

[0105] The concepts disclosed herein are not limited to the specific examples shown herein. It should be readily apparent that many modifications may be made without departing from the spirit thereof, and that these specific implementations may be applied to other specific implementations, disclosed or undisclosed. Therefore, the presently disclosed methods and systems should be considered in all respects to be illustrative and not restrictive.

Claims

1. A method for creating context-based personalized nutrition recommendations, the method comprising: receiving genetic information, medical information, and treatment goals of an individual, said genetic information being determined through genetic testing; receiving lifestyle information about the individual, wherein the lifestyle information includes information about the individual's physical activities, mental activities, occupation, social network, financial security, culture, habits, and preferences; determining the location of the individual using a location sensor; retrieving data associated with the location of the individual from the location sensor, wherein the data includes 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 for 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, oral supplement, topical treatment, inhaled nutrient therapy, intravenous nutrient therapy formula, and intramuscular nutrient therapy formula that provides the identified one or more micronutrients; as well as Based on the cost of each of the identified at least two of the food, the oral supplement, the topical treatment, the inhaled nutritional therapy, the intravenous nutritional therapy formula, and the intramuscular nutritional therapy formula, the financial security of the individual, and the effectiveness of each of the at least two of the food, the oral supplement, the topical treatment, the inhaled nutritional therapy, the intravenous nutritional therapy formula, and the intramuscular nutritional therapy formula in providing the identified one or more micronutrients, recommending one of the identified at least two of the food, the oral supplement, the topical treatment, the inhaled nutritional therapy, the intravenous nutritional therapy formula, and the intramuscular nutritional therapy formula. 2 . The method of claim 1 , wherein the recommendation is performed by a first application on an electronic device, and wherein receiving lifestyle information comprises retrieving data associated with a second application on the electronic device.

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

4. The method according to claim 1, further comprising: A request for a recommendation is received from the individual.

5. The method according to claim 1, further comprising: A nutrition plan is developed based on the genetic information, medical information, treatment goals, lifestyle information and fitness data of the individual.

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

7. The method according to claim 5, further comprising: The nutritional plan is adjusted based on updated medical information, treatment goals, or lifestyle information of the individual.

8. A system for creating context-based personalized nutrition recommendations, the system comprising: a genetic test configured to determine genetic information of an individual; an electronic device configured to receive the genetic information of the individual, medical information of the individual, 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 comprising a position sensor, an accelerometer, and a heart rate monitor, wherein the electronic device is configured to determine real-time air quality data based on position data from the position sensor, and wherein the electronic device is configured to determine fitness data for the individual based on motion data from the accelerometer and heart rate data from the heart rate monitor; as well as a server comprising a food database, an oral supplement database, a topical therapy database, an inhaled nutrition therapy database, an intravenous nutrition therapy database, an intramuscular nutrition 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, wherein the server is in communication with the electronic device, The system is configured to: identifying one or more micronutrients for the individual using the mapping 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; identifying at least two of a food from the food database, an oral supplement from the oral supplement database, a topical therapy from the topical therapy database, an inhaled nutrient therapy from the inhaled nutrient therapy database, an intravenous nutrient therapy formula from the intravenous nutrient therapy database, and an intramuscular nutrient therapy formula from the intramuscular nutrient therapy database that provide the identified one or more micronutrients; as well as One of the at least two of the food, the oral supplement, the topical treatment, the inhaled nutritional therapy, the intravenous nutritional therapy formula, and the intramuscular nutritional therapy formula is recommended based on the cost and effectiveness of each of the food, the oral supplement, the topical treatment, the inhaled nutritional therapy, the intravenous nutritional therapy formula, and the intramuscular nutritional therapy formula.

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 within 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. 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. A method for creating context-based personalized nutrition recommendations, the method comprising: Using genetic testing to determine an individual's genetic information; receiving medical information, treatment goals, and lifestyle information of 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, an oral supplement, a topical treatment, an inhaled nutrient therapy, an intravenous nutrient therapy formula, and an intramuscular nutrient therapy formula that each provides the one or more micronutrients; recommending the at least one of the food, the oral supplement, the topical treatment, the inhaled nutrient therapy, the intravenous nutrient therapy formula, and the intramuscular nutrient therapy formula based on the cost and effectiveness of each of the at least one of the food, the oral supplement, the topical treatment, the inhaled nutrient therapy, the intravenous nutrient therapy formula, and the intramuscular nutrient therapy formula; receiving feedback on the effectiveness of the recommended at least one of the food, the oral supplement, the topical treatment, the inhaled nutrient therapy, the intravenous nutrient therapy formula, and the intramuscular nutrient therapy formula after the individual has received the one or more micronutrients via the recommended at least one of the food, the oral supplement, the topical treatment, the inhaled nutrient therapy, the intravenous nutrient therapy formula, and the intramuscular nutrient therapy formula; as well as Future recommendations are created for the individual and for other individuals based on the feedback.

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

17. The method according to claim 15, further comprising: A request for a recommendation is received from the individual.

18. The method according to claim 15, further comprising: A nutrition plan is developed based on the genetic information, medical information, treatment goals, lifestyle information and fitness data of the individual.

19. The method according to claim 18, further comprising: The nutrition plan is adjusted based on the real-time air quality data associated with the location of the individual.

20. The method of claim 18, further comprising: The nutritional plan is adjusted based on updated medical information, treatment goals, or lifestyle information of the individual.

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