Ai-based curedietary application for designing personal diets and routines according to each individual's life to improve health and prevent diseases

Abstract

The important thing about food is its effect on contracting or preventing disease. Food can aggravate or treat diseases. The unique way each person's body responds to different foods adds complexity to the problem. Identical twins cannot be recommended the same diet. Most nutrition apps offer functionalities like calorie counters, food diaries, recipes, and shopping lists. Nutritional genomics studies how genes and nutrients interact to determine an individual's outcome. Nutrition apps can influence healthy eating habits and reduce barriers to consuming healthful foods. Microbiome services analyze gut health to provide a proper health / diet plan. Gut microbiota health is linked to diseases like Alzheimer's, Parkinson's, and depression. The gut microbiome is critical to understanding nutrition and provides the foundation for personalized nutrition growth.

Description

AI-based Curedietary Application for Designing Personal Diets and Routines According to each Individual’s Life to Improve Health and Prevent Diseases

[0001] The issue of food has always been one of the basic issues of man, which is perhaps the most important factor in determining her / his health status. Although humans have been familiar with eating since birth, the properties and effects of different foods on human health cannot be easily recognized. The choice of food depends on personal taste and temperament, as well as on the geographical and cultural backgrounds of societies, as well as on the seasons, and the availability or absence of food ingredients.

[0002] The diet and nutrition apps are software applications used for tracking nutritional intakes and managing diets for healthy eating, weight loss, weight maintenance, weight gain, and fitness. Diet apps are also in demand for healthcare to track food sensitivities, allergies, and medical conditions, such as diabetes, high blood pressure, and heart disease. These app tools are offered in devices such as smartphones, tablets, and PCs.

[0003] G16H 20 / 60

[0004] US11929180B2

[0005] Systems and methods for implementing personalized health and wellness programs

[0006] A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.

[0007] The invention above is a system for creating personal health care profiles, while this invention is an application that aims to cure different diseases by offering personal diets and lifestyles, with the help of AI technology.

[0008] US20220000399A1

[0009] Systems, devices, and methods for meal information collection, meal assessment, and analyte data correlation

[0010] Systems, devices, and methods for detecting, measuring and classifying meals for an individual based on analyte measurements. These results and related information can be presented to the individual to show the individual which meals are causing the most severe analyte response. These results can be organized and categorized based on preselected criteria or previous meals and results so as to organize and present the results in a format with reference to glucose as the monitored analyte. Various embodiments disclosed herein relate to methods, systems, and software applications intended to engage an individual by providing direct and timely feedback regarding the individual's meal-related glycemic response.

[0011] The mentioned invention is a system for analyzing personal diets and providing feedback to the user, while the present invention is an application that uses AI technology to cure diseases by offering personal diets to its users.

[0012] US20180004914A1

[0013] Personal Health Advisor System

[0014] Personal health advisor system comprised of one or more personal wireless health devices, one mobile device, and one cloud-based server, all interconnected via wireless networks wherein health-related recommendations are adjusted asynchronously by the cloud-based server and displayed to the user on the mobile device wherein the asynchronous heath-related recommendation adjustments are based on the values of the user physiological parameter measurements generated by the one or more wireless personal health devices.

[0015] The invention above is a personal health advisor system like the present invention, while our invention suggests personal diets to cure individuals’ diseases, by using AI technology to analyze the receiving data.

[0016] CN111401103

[0017] Real-time collection system and a real-time collection method for personal diet nutrition intake

[0018] The invention above also offers a personal diet to its users, while the technology is different and the present invention uses AI system and the previous one does not. The present invention also aims to cure different diseases by offering personal diets, while the mentioned invention is only for tracking and keeping the dietary information of its users.

[0019] CN109994183

[0020] Intelligent personal health condition analyzing and diet therapy medical system

[0021] The invention discloses an intelligent personal health condition analyzing and diet therapy medical system which comprises a service layer, an application layer and a data layer. The application layercomprises a photographing material identifying system, a medicament searching system, an analyzing system and a display system. The data layer comprises a service database, a master database, a sample database, and a deep data mining unit and a resource platform. The system utilizes python dynamic page data crawler for generating a database and an ImageNet picture database, thereby generating thesample database. The system utilizes a jTessBoxEditor tool for performing sample database training. Through a manner of connecting with the database and a developing interface, the database includingmedicament prices of each traditional pharmacy and the like is accessed. According to the intelligent personal health condition analyzing and diet therapy medical system, the photographing material identifying system is utilized for identifying a food material image; big data analysis is utilized for performing intelligent analysis on the information which is obtained through picture identification; and the database is utilized for performing real-time updating on the medicament kinds, numbers, medicament prices and scores of surrounding pharmacies in an interlocked manner, thereby supplyingdifferent services such as health preserving and medical health caring for different groups.

[0022] The invention differs from ours in its technology, as it does not use the AI technology for analyzing the received data.

[0023] CN111341415

[0024] Self-service personalized dietary therapy application system based on cloud data support

[0025] The invention discloses a self-service personalized dietary therapy application system based on cloud data support. The system comprises cloud data and dietary therapy. The cloud data and the diet therapy are used for uploading and storing personal diet data in a cloud end; based on standard diet data proposed by cloud experts, a new dietary therapy scheme is formulated, the dietary therapy schemeis continuously corrected according to personal health conditions, and modules needing complex computing power requirements such as personal positioning, monitoring, image recognition obesity or thinness and environmental perception are moved upwards to a 5G edge computing server, so that the computing power requirements of self-service personalized dietary therapy application are met. Cloud dataand dietary therapy schemes with higher requirements on real-time performance such as exercise control and diet requirements are provided, so that the requirements on health and safety are met. The cloud data equivalently adds a brain to the self-service personalized dietary therapy application system at the cloud end, a foundation is laid for scientific formulation of a dietary therapy scheme, and the cloud data can be used for scientific formulation of the dietary therapy scheme of all people.

[0026] The invention above uses a data cloud system to provide diet advise for its users, while the present invention uses AI system to analyze data and offer personalized diet to each user, to cure diseases or prevent them.

[0027] KR1020180092905

[0028] NUTRITION MANAGEMENT SYSTEM BASED ON APPLICATION-BASED PERSONAL HEALTH ANALYSIS AND METHOD THEREOF

[0029] The present invention relates to a nutrition management system based on an application-based personal health analysis and a method thereof. According to a personal health analysis based on an application, the nutrition management system comprises: a nutrition management application (10) installed in a personal portable electronic device (P); a nutrition management server (20) connected through a nutrition management application (10) and storing health, diet, and nutrition management data for each person; a calorie calculation module (CC) connected to the nutrition management application (10) to calculate an influence of the nutrition of food consumed by an individual on health; and a health analysis module (HA) for analyzing an influence of consumed food on personal health according to a result calculated by the calorie calculation module (CC). The nutrition management application (10) has a predetermined diet schedule, and provides information on daily diet according to consumed food or daily consumed food to an individual.

[0030] The mentioned invention only offers a personal healthy diet to its users, while our invention analyzes the health condition of the user and offers diets to cure their diseases as well.

[0031] This invention proposes an application that is based on artificial intelligence and creates an algorithm that helps users improve their health by designing personal diets, the system measures the patient's daily food consumption and physical activities and gives them both mental and physical exercises plus games, and also examines them through camera and corrects them if needed, the application has a user-friendly user interface wherein it is safe for users to compile their data and insert any information such as daily reports even via app’s voice recorder, users create a profile and let the software to access their region to serve local foods based on cultural taste and shopping list full of available products for them, the system can also introduce users to each other to have meal together. The application tracks foods and their ingredients to calculate their calories and nutrients because it informs the users which vitamins they lack through their blood pressure and also checks their cholesterol and genetic map. So the application can be used by health presenters too. The users can leave their feedback in the application as well as the system does it professionally to advance the user's health condition.

[0032] The important thing about food is its effect on contracting or preventing disease. We also know that food affects the aggravation or treatment of the disease. The complicated aspect of it is the coexistence of diseases in humans, that food may be useful for one disease but harmful for another disease.

[0033] This is not the whole story, but the uniqueness of each person's body response to different foods adds new complexity to the problem. It means that even identical twins cannot be recommended the same diet to achieve the same health goals.

[0034] All of these cause a lot of uncertainty and questions about food for humans. Until today, various services have worked in the field of setting and proposing meal plans, but the simultaneous consideration of all these factors has not happened. Diets aimed at improving the condition of the disease or strengthening the body against the disease work. But the problem is when there are several diseases at the same time and one food is useful for one disease and harmful for another. if the number of diseases is more, the problem is more complicated and there is practically no correct answer in the market for this problem. This aspect of the relationship between food and the body makes the general diets that are recommended based on general segmentations not have the necessary effect and are not the optimal diet for a person's health. Many diets are not compatible with a person's eating habits, facilities, and tastes, so a person cannot follow them from the beginning or in a short time.

[0035] Most nutrition applications have only one function, while the best diet and nutrition apps offer a set of functionalities like calorie counters, food diaries, recipes for healthy food, barcode scanners, daily meal plans, and shopping lists. The apps cater to different target audiences and hence have different functionalities and feature sets.

[0036] Nutritional genomics, or nutrigenomics, is the study of how genes and nutrients interact at the cellular level to determine an individual's outcome. We now know that, depending on their genetic makeup, different people digest the same nutrients in various ways. Individual responses to grain, cholesterol, and even caffeine, for example, differ. Nutrients have also been shown to interact with our genomes and alter gene expression. Obese people, for example, had their metabolic genes expressed differently when they changed their diet carbohydrate intake, resulting in weight loss. Nutrients have also been shown to have an impact on epigenetic consequences, or how genes are expressed without modifying the DNA. This type of service allows consumers to get a saliva swab to assess their genetic information related to health. Services differ for personalization of diet from person to person based on their DNA. Evaluation type of service is the fastest-growing personalization nutrition category. Diet and nutrition apps are among the most popular health and fitness applications, with a growing number of people using them on their mobile devices. The product labels are read by the analyzed app. The system then evaluates the quality of components and nutritional values based on the user’s personal information, such as age and degree of physical activity, and suggests healthier food options.

[0037] The scientific proof of nutrition information applications' effectiveness in influencing consumers' healthy eating habits is currently lacking. This is especially obvious among customers who are increasing their motivation and planning actual activities to promote healthy eating. Using a nutrition-information app, in particular, reduces the sense of barriers to consuming healthful foods. When it comes to approaching healthy eating, users have a better perception of personal strength and self-confidence. The app users' objective and subjective knowledge of healthful foods in Microbiome type of services consumers are asked to provide their stool sample to analyze the presence of microbial DNA. This helps in analyzing gut health to give an indication of micro-organism distribution in the gut to give a proper health / diet plan based on it. More recently researchers have begun looking into the link between gut microbiota health and diseases like Alzheimer's, Parkinson's, and depression. More than 1000 kinds of bacteria and other microbes make up the gut microbiome, the body's least well-known organ. It generates hormones, digests food that the stomach can't, and sends thousands of different diet-derived comCAD flowing through our systems every day, weighing almost a pound. In many ways, the microbiome is critical to understanding nutrition and provides the foundation for Personalized nutrition's growth. Despite the fact that each of us is born with a unique microbiome, a variety of factors such as mode of birth, genetic makeup, nutrition, age, and antibiotics all have a role in reshaping the microbiome population. The gut microorganisms also manufacture vitamins and other substances that humans are unable to produce, allowing us to identify which nutrients are available from the food we eat. There are many devices available that analyze the hydrogen level in a person’s breath and provide suggestions for improving the same. Carbohydrate malabsorption is a common digestive issue that causes stomach pain, bloating, and diarrhea. The most reliable and validated diagnostic approach is hydrogen breath testing (BT). The purpose of this paper was to explain how beneficial BTs can be in the nutritional therapy of various illnesses. Brands such as Germany’s Baze and the UK’s Vitl monitor blood levels of common micronutrients, such as foliate, iron, vitamin B12, and vitamin D to recommend monthly, vitamins, minerals, and supplement packs. Clinical biomarkers are objective reflections of an individual's health and illness status, whereas nutritional biomarkers are objective reflections of an individual's dietary intake. Dietary consumption may or may not be reflected in clinical biomarkers. Many earlier association studies revealed a relationship between a specific biomarker and a specific food. A biomarker, on the other hand, may not necessarily indicate a single nutrient. It could be a reflection of a dietary pattern as a whole or an interaction of many nutrients. The same is true for clinical biomarkers, which can signal a variety of health indices or metabolic processes with a single biomarker.

[0038] Disease type takes into account the medical history of the consumer and helps to create a diet and supplement plan according to their needs. Some foods can elevate symptoms of certain health conditions and certain foods can exacerbate them. Precision medicine focuses on improving the treatment of any illness by adapting it to the individual, while precision nutrition focuses on food intake. Both create therapies based on a person's unique traits, such as DNA, race, gender, health history, and lifestyle choices, to prevent or treat chronic diseases. Both aim to deliver more specific and targeted techniques for disease prevention and treatment, making them safer and more successful. Precision nutrition recognizes that each person's susceptibility to different foods and nutrients is different, so one person's best diet can be very different from another.

[0039] It has also been customized according to the needs of the consumers. Healthy eating has become fashionable, to the point that, in the age of the internet and apps, there is an extraordinary profusion of services and tools available to assist those who wish to eat properly and stay in shape. Perhaps you should follow a tailored diet based on your physical attributes, as well as any health issues or dietary intolerance you may have. This type of app can assist you in determining the best foods to eat for your overall health. Different dietary programs are required for different compositions. Some people thrive on a high-protein diet, while others require a higher carbohydrate intake. Not eating the right food can be detrimental to your health. Several smartphone apps exist that can track food, count calories, and plan meals, similar to the tracking devices. One of the biggest benefits of customizing your nutrition is that it can help you meet your specific health needs. It's a scientifically proven essence that offers a wide range of benefits, whether you're looking to sleep better, lose weight, reduce stress, or improve your overall well-being. The COVID-19 epidemic prompted a shift in consumer behavior, with more people choosing virtual fitness over traditional clubs. Due to lockdown constraints, the COVID-19 epidemic is creating expansion prospects for workout applications, resulting in the widespread adoption of fitness apps for bodyweight training. The company offers the healthiest diet for patients and helps to treat their disease. The company models the effect of food on concurrent diseases through multi-criteria decision-making. With the help of artificial intelligence and deep learning, the company creates a personal digital twin of each user's body, which becomes more and more accurate over time.

[0040] The invention has a multi-criteria decision matrix that examines different diseases at the same time and sees the effects of food on all diseases at the same time. It also finds out the user's disease based on the user's statement and her / his records in the electronic health record and the results of the suggested tests.Solution of Problem

[0041] By applying the latest technology in the field of artificial intelligence and food science, this invention has found a suitable answer to solve the complex problem of determining people's meal plans. Based on the development of a digital twin, which considers factors such as taste, geography, features of the digestive system, DNA, age, gender, weight, diseases, etc., this invention offers the best food recommendations for an individual. The system employs machine learning algorithms, which makes the simulated model increasingly accurate and efficient over time, allowing a person to have a constant nutrition assistant with them. Additionally, the system can adapt to seasonal and regional food availability, ensuring recommendations are practical and sustainable.

[0042] This invention offers a healthy personal meal and snack planner based on artificial intelligence, designed for the prevention or treatment of individual or concomitant diseases, thereby improving the overall health status of the user. In response to the unique reactions each person has to different foods, this invention produces a digital twin of each user's body, adjusted for the characteristics of the gut microbiome, DNA, weight, age, gender, and other influencing factors. This digital twin is calibrated over time with machine learning algorithms based on the individual's body response to their diet, resulting in a more accurate model. This invention recommends meal plans based on the user's eating habits and tastes, providing the most comfortable way to follow the plan. The system also includes a real-time feedback mechanism, allowing users to immediately adjust their diet based on their current health metrics and dietary responses.

[0043] The invention also proposes a model that is sensitive to the individual characteristics of each person, from the profile of their gut bacteria to DNA, age, gender, weight, etc. This model is capable of integrating new research findings and evolving dietary guidelines, ensuring that users receive the most up-to-date and scientifically backed nutritional advice.

[0044] This app first checks a person's taste, eating habits, and available facilities, considers these as soft limits in its model, and offers the closest recommendations according to these limits. Furthermore, the app can suggest alternative ingredients and recipes that align with the user's dietary restrictions and preferences, enhancing user satisfaction and adherence.

[0045] To address many dynamic factors, the invention develops a digital twin for each person, personalized with their unique characteristics. This digital twin is a simulated model of a person's body within their environment, which models the body's reaction to food and includes all the mentioned parameters. With machine learning algorithms, as well as periodic test results and user feedback, the model dynamically changes, and accordingly updates the meal plan suggestions. The dynamic nature of the digital twin allows for proactive adjustments in diet plans to preemptively address potential health issues, thereby enhancing preventive care.

[0046] Project Objectives:

[0047] 1. To examine individual differences observed in response to different diets by studying the interactions between diet, genes, proteins, microbiome, metabolism, and other individual contextual factors.

[0048] 2. To use artificial intelligence (AI) to develop algorithms that predict individual responses to foods and dietary patterns.

[0049] 3. To validate algorithms for clinical application. The validation process will involve large-scale clinical trials and longitudinal studies to ensure robustness and reliability of the algorithms across diverse populations.

[0050] 3 modules of the Project:

[0051] ● In Module 1, information on all the participants’ normal day-to-day diets will be collected. This will involve detailed dietary logs and the use of wearable devices to monitor physical activity and physiological responses.

[0052] ● In Module 2, a subset of Module 1 participants will eat three different diets selected by researchers. These diets will be designed to test specific hypotheses about diet-gene interactions and the impact of different macronutrient compositions on health outcomes.

[0053] ● For Module 3, a smaller, separate subset of participants from Module 1 will participate in a two-week study in research centers where their food will be carefully controlled by researchers. This controlled environment will ensure precise measurement of dietary intake and metabolic responses, providing high-quality data for algorithm refinement.

[0054] Each module will conclude with a meal challenge test. Participants will fast overnight and then consume a standardized breakfast meal or drink to examine their responses, such as blood glucose levels, over several hours. This test will provide critical insights into the acute metabolic effects of specific foods, informing the development of more personalized dietary recommendations.

[0055] This comprehensive approach ensures that the digital twin model accurately reflects the individual's dietary needs and health conditions, continuously improving the precision of meal plan recommendations over time. By combining AI with detailed personal data, this invention provides a uniquely effective solution to the complex challenge of personalized nutrition.

[0056] The invention has been successfully implemented in pilot programs within clinical settings, demonstrating significant improvements in patient dietary adherence and health outcomes. For example, patients with diabetes who used the system reported better blood sugar control and increased satisfaction with their meal plans.

[0057] Compared to existing nutrition apps, this invention offers a more comprehensive and personalized approach. It not only tracks calories and nutrients but also considers individual genetic makeup, microbiome data, and personal preferences, leading to more effective and sustainable dietary changes.

[0058] The technology has the potential to expand beyond individual health management to broader applications such as community health initiatives, integration with national health services, and partnerships with food and beverage companies to develop new products tailored to specific health needs.Advantage Effects of the Invention

[0059] 1- This invention offers a specialized web-based diet or meal planner for patients with single or multiple diseases.

[0060] 2- The invention uses multi-criteria decision matrices for measuring the effects of food on Concomitant diseases

[0061] 3- The invention will develop an AI-based digital twin that models the unique response of each one to different foods and user tastes and food habits.

[0062] 4- The invention has a data miner and analyzer that uses data from scientific references for foods and diseases.

[0063] 5- This invention offers a diet generator based on generative AI that generates new food recipes based on disease taste, geography, and season.

[0064] 6- This invention could be used for people with diseases like:

[0065] • Patients with fatal or chronic diseases

[0066] • The Elderly

[0067] • Disease preventers

[0068] is a general flowchart of what does the claimed system strudies.

[0069] displays the functions of the camera module.

[0070] shows how many aspects does the application covers and supports in a general way, it creates the personal diet and recommends foods based on these factors which all of them are related to the person’s health and by examining the blood test, cholesterol level, metabolism, microbiota and genetic map, the AI-based system gets to know the user very specificly and will be able to serve them the best possible plan because now the software is informs which vitamins and nutrients does the user lack and which diseas are dangering them for now or the upcoming future, also by recognizing the living region of the user, the system will be able to offer him or her items based on cultural tase, and since the system designs a shopping list too, so the products will be related to their geogtophical location and available for them.

[0071] shows the camera module and what it operates for the user, because it has image processor and language processor, the language processor scans the meals and products to find out each ingredient used in it, the image processor has two main functions, one is to examine the physical excersizes that the users do and corrects them if needed, the other use is to check user’s meal portion and finally all of the processors work to measure the calorie and consumption amount of food as a digitial scale so the regular and daily health goal routine of the user improves.Examples

[0072] [chart.1] indicates an app breakdown structure:

[0073]

[0074] [chart. 2] Product and Services Description:

[0075] Dish Remedy (Basic) include:

[0076] - Daily 3-course recipes with daily drinks, for one month

[0077] - With 5 supporting recipes

[0078] - Self-declared disease registration or with system diagnosis

[0079] - Without using the taste finder service

[0080] - Without the possibility of connecting to other applications

[0081] - Without the possibility of using innovative recipes

[0082] - Repeat the system of favorites

[0083] Dish Remedy (Pro) include:

[0084] - Providing daily 5-course recipes with daily drinks, for one month

[0085] - With 8 backup recipes

[0086] - Self-declared disease registration or with system diagnosis

[0087] - With the use of the taste finder service

[0088] - With the possibility of connecting to other applications

[0089] - With the possibility of using innovative recipes

[0090] - Receiving tables of food prohibitions

[0091] - With the ability to track how to improve It has a repeat system of favorites

[0092] System Diagnosis: Examination of tests by a doctor and accurate diagnosis of diseases

[0093] Stable Diet includes:

[0094] - A specialized recipe for 3 meals, for the categories of the elderly, those suffering from lifetime diseases (diabetes, blood pressure, kidney failure, etc.), children with special and long-term illnesses

[0095] - This service is provided annually

[0096] - Along with the list of food ingredients Prohibited

[0097] - With the ability to connect to other applications

[0098] - With taste finder service

[0099] Referral Raw Materials (advertisement) & Referral for Ready Food: The possibility of referring the audience to online platforms for selling raw materials.

[0100] The possibility of referring the audience to online platforms for selling readymade foods according to the provided recipes.

[0101]

[0102] The present invention has significant industrial applicability, particularly in the fields of healthcare, nutrition, personal wellness management, fitness, the food and beverage industry, and research and development. By leveraging advanced artificial intelligence (AI) and digital twin technology, this invention provides personalized dietary recommendations, continuous health monitoring, and real-time feedback, enhancing health and wellness management in various settings.

[0103] Healthcare and Nutrition Management:

[0104] Personalized Meal Planning and Feedback: The system can be deployed in hospitals, clinics, and home healthcare settings to provide tailored meal plans based on individual dietary needs and preferences. This ensures optimal nutrition management for patients, addressing specific health conditions, dietary restrictions, and nutritional deficiencies. For example, a diabetic patient can receive a meal plan that adjusts based on their blood glucose levels, which are continuously monitored and fed back into the system, ensuring adherence to dietary recommendations and improving health outcomes.

[0105] Disease Prevention and Management: The invention also plays a crucial role in disease prevention and management. It can be integrated into chronic disease management programs, health insurance wellness initiatives, and public health campaigns. By analyzing patient data and creating personalized diets, the system helps prevent and manage chronic diseases such as diabetes, cardiovascular diseases, and obesity. For instance, a heart disease patient can follow a personalized diet that reduces cholesterol levels, monitored through regular check-ups and system feedback, thus proactively reducing healthcare costs and enhancing patient outcomes.

[0106] Real-Time Health Monitoring: Real-time health monitoring is another critical application of this invention. The system's compatibility with wearable devices and health monitoring tools allows for continuous supervision of vital health parameters, including blood glucose levels, cholesterol, hydration, and overall nutrition consumption. This feature makes it suitable for remote patient monitoring systems and telemedicine services, enhancing patient care and enabling timely medical interventions. For example, an elderly patient’s hydration levels can be monitored remotely, with alerts sent to caregivers if levels drop below a healthy threshold, ensuring timely assistance and preventing health complications.

[0107] Fitness and Wellness Industry:

[0108] Fitness and Exercise Recommendations: The AI system's ability to analyze physical activity data and provide personalized exercise recommendations is highly applicable in gyms, fitness centers, and personal training programs. By offering tailored exercise plans based on individual health conditions and fitness goals, the invention supports safe and effective fitness regimens. For example, a fitness app can provide a tailored exercise plan for a user recovering from a knee injury, adjusting exercises based on real-time feedback.

[0109] Integration of Mental and Physical Health: The invention can suggest mental and physical activities based on dietary intake, making it valuable for wellness programs, mental health care, and holistic health centers. This integration ensures a comprehensive approach to wellness, addressing both physical and mental health needs. For instance, a wellness retreat can use the system to provide personalized meal plans and mental health exercises, enhancing overall participant well-being.

[0110] Food and Beverage Industry:

[0111] Product Development and Consumer Health: The AI system can be utilized by food and beverage companies to develop new products that cater to specific nutritional needs and preferences of consumers. This can lead to the creation of healthier food options, meeting the growing demand for personalized nutrition and supporting public health initiatives. For example, a food company can develop a new line of gluten-free products based on data from users with gluten intolerance.

[0112] Food Safety and Allergen Management: The ability of the AI to recognize potential allergens and recommend proper replacements can be integrated into food safety protocols and allergen management systems in restaurants, catering services, and food production facilities. This ensures safer food consumption for individuals with allergies and intolerances, thereby enhancing customer satisfaction and safety. For instance, a restaurant can use the system to adjust recipes for customers with nut allergies, ensuring all meals are safe to consume.

[0113] Research and Development:

[0114] Data-Driven Health Research: The AI system's capacity to collect and analyze large amounts of health data provides valuable insights for research and development in nutrition science, genetics, and public health. This data can be used to study the effects of various diets on health outcomes, supporting evidence-based practices and fostering innovation. For example, a research institute can study the impact of a high-fiber diet on gut health using data collected by the system.

[0115] Collaborative Health Initiatives: The invention's ability to collaborate with investigating institutes and food experts enhances its applicability in collaborative health initiatives, research projects, and educational programs. These collaborations can drive advancements in public health and nutrition, contributing to the development of new health strategies and interventions. For instance, a university can collaborate with food scientists to develop new dietary guidelines based on AI analysis.

[0116] Personalized Health Management:

[0117] Customization and Adaptability: The system's ability to adapt meal plans and exercise recommendations based on individual health data, geographic conditions, and user feedback makes it highly customizable. This adaptability ensures that the recommendations remain relevant and effective, catering to the unique needs of each user. For instance, a user can receive a customized diet plan that adapts to their changing health metrics and personal preferences.

[0118] Comprehensive Lifestyle Management: By integrating various health metrics, dietary preferences, and lifestyle factors, the AI system offers a comprehensive lifestyle management tool. This holistic approach supports users in achieving their health goals, maintaining well-being, and preventing lifestyle-related diseases. For example, an app can provide integrated recommendations for diet, exercise, and mental health activities, supporting overall well-being.

[0119] Scalability and Integration: The invention is designed to be scalable and easily integrated into existing systems. It can be adopted by small clinics and large healthcare providers alike, as well as by individual users and commercial enterprises in the food and fitness industries. The modular design ensures that the system can be tailored to specific needs and expanded as required.

[0120] In conclusion, the present invention offers extensive industrial applicability, providing innovative solutions for personalized nutrition and health management across multiple sectors. Its advanced technological foundation, versatility, and comprehensive approach ensure effective integration into various industrial applications, ultimately improving health outcomes and enhancing overall well-being.

Claims

A system for measuring the patients' meal size and providing instant feedback comprising an application using digital twin / AI for analyzing individuals' consumption and related activity patterns to develop self-controlling strategies.According to claim 1, this invention introduces a pioneer AI system that uses the patient's collected data to create a digital twin and an artificial presentation of the patient.According to claim 2, with the use of digital twins, the AI system could create personalized diets for the prevention of disease and improvement of the patient's condition.According to claim 3, the created digital twin by AI constantly observes the patient and provides real-time feedback and recommendations to prevent sickness and improve the conditions.According to claim 4, this system introduces a plan that proceeds for managing and supervising the weight loss goal of the patient based on their weight by personalized diets and tracking the progress of the plan.According to claim 5, the mentioned system is for auto-creating personalized meal plans based on food preferences and needs.According to claim 6, the AI aspect of the system measures the microbiota of the patient's intestines for personalizing the food recommendations and improving health.According to claim 7, this AI presents its most function in recommending personalized suggestions based on the needs and personal loss of the vitamins and supplements.According to claim 8, the algorithm recognizes the potential loss of nutrients in the patient's diet and proposes proper interfering recommendations.According to claim 9, it also creates a personalized shopping list based on recommended recipe instructions to make it efficient for the patient to go shopping.According to claim 10, the suggested products and meals are adjusted based on the destination's geographic condition and regional foods.According to claim 11, criteria such as cultural preferences, personal taste, and ingredient availability for food are considered.According to claim 11, the AI aspect supervises the nutrition consumption of the patient by scanning the barcode and analyzing the food products.According to claim 13, after the analysis, it AI warns patients about the effects of eating different foods simultaneously or consecutively, gradually revealing side effects on the body and mind.According to claim 14, the system also analyzes cooking methods and their effects on the user's body, recommending the best method and adjusting recipes for specific health conditions.According to claim 15, then the system proceeds options as replacing, changing, or adjusting portion sizes.According ot claim 16, this system presents an algorithm to recognize the potential loss of nutrients in the patient's diet and propose proper interfering recommendations.According to claim 17, the mentioned software algorithm analyzes the patient's diet data and recognizes the patterns that could cause chronic pains and inflammation.According to claim 18, the software algorithm analyzes the patient's diet and also the potential interactions between nutrition and medications.According to claim 19, the system examines the patients' food size and suggests instant feedback about the ingredients of the food and its portion.According to claim 20, the application suggests specific foods, fruits, or snacks not included in the diet, or recommends activities to imperceptibly change eating habits.According to claim 20, the progress is tracked through regular updates from the user on weight and dietary adherence.According to claim 22, the system gives feedback to the users and lets them prioritize the instructions and revise them to help the AI better understand preferences and improve its recommendations.According to claim 23, it also receives user feedback and analyzes it to continuously improve diet recommendations and personalization.According to claim 23, the system has features that make it possible for patients to set alarms for meal times and medication plans, ensuring adherence to their health journey.According to claim 25, the method provides a reminder plan to supervise the hydration of the patients and remind them to drink enough beveragesAccording to claim 25, the system is available for supervising the cholesterol level of the patient's blood through personalized meal plans and reminding the medication.According to claim 25, it comprehends reactions between foods and medications, increasing medication efficacy through appropriate nutrition with the help of AI.According to claim 28, with time and data collection, the system can present similar instructions to people with similar health conditions with the help of the embedded AI aspect.According to claim 29, then the AI-based system suggests physical or mental routine activities post-meal and determines specific exercise patterns based on the patient's health condition.According to claim 30, wherein a game-like UI that proposes smart recommendations according to physical conditions, activity levels, and mental, and geographic conditions.According to claim 31, there is an image processor that analyzes user exercises and corrects them if done improperly, changing or replacing the exercise technique as needed.According to claim 30, the system recognizes the genetic map, living region, mental and physical activities, and interactions with diet, medications, and environment.According to claim 33, the application uses data mining of the genetic map of each person's gut microbiome and genetic data to investigate how foods affect genes and how genes affect reactions to specific foods.According to claim 34, wherein it is safe to save the medical background and information of the patient's health status.According to claim 35, the system has a favorable UI that lets the patients enter their preferences and pieces of information easily into the app, guaranteeing an integrated UI experience.According to claim 36, the system can also find geographically nearest users and contact them based on personal profiles and contact desires.According to claim 36, the application comprises a voice recognition feature allowing patients to interact with the app by voice command.According to claim 36, it lets the patient track their calorie intake and set personalized goals for weight control.According to claim 39, it uses a cellphone camera to process images and measure bread consumption in real time, preventing obsession over appropriate amounts.According to claim 40, it connects to a digital scale to estimate food amounts based on the weight of an empty plate, and by scanning the type of food, it estimates the calorie content.According to claim 41, the system also comprises a language processor wherein it recognizes food ingredients that the user reports, counting consumed calories accordingly.According to claim 42, so the AI-based system can supervise and track the data of food consumption amount and physical activities of the patient on a basis.According to claim 43, the application system monitors the health of the digestive system of the patient through food interactions and then gives probiotic recommendations.According to claim 44, the system is cooperating with investigating institutes and food experts in the field of diet and health care to increase the effect of the app.According to claim 45, the application is constantly updated with the latest research in the field of foods and health, ensuring that recommendations are up to date.According to claim 46, it gives support services and consultations to patients 24 / 7 with a team of food and health care experts so the system can analyze the activity level of the patients daily.According to claim 47, the system analyzes the genetic predisposition of the patient to specific diseases and serves preventive recommendations.According to claim 48, the mentioned method allows the system to predict the patient's response to different food interactions based on their genetic and metabolic data.According to claim 49, then it merges diet data with the patient's exercise routine and electronic file to provide a comprehensive vision of their health.According to claim 50, in this way, the software algorithm obtains the quality and potential medicine interactions and nutrients and proposes recommendations to healthcare presenters.According to claim 51, the method improves the absorption of nutrients through personal food recommendations and aimed supplements.According to claim 52, the mentioned method evaluates the eating condition of the patients by a thorough blood test and analysis of the biomarkers.According to claim 53, the system’s meal design aspect will resolve the need for food preferences as well as a healthy lifestyle for the patients.According to claim 54, the system has the option to personalize meal plans based on different events or ceremonies too.According to claim 54, it has a deep understanding of food limitations and different types of allergies, allowing the app to suggest personalized recommendations to resolve related personal needs.According to claim 56, since it can provide feedback on the food contents in real-time, so it can help the patients make more conscious decisions about their food choices.According to claim 57, it replaces ingredients concerning food limitations and preferences.According to claim 57, wherein it adapts and learns based on the patient's feedback, constantly improving its suggested instructions and functionalities.According to claim 1, the system adapts to wearable devices and health-tracking apps to present a thorough plan for the supervision and well-being of the user.According to claim 60, wherein by implanting polymer rings around specific blood vessels, the blood pressure of the body can be continuously obtained, and data mining relationships between changes in blood pressure with changes in physical and mental health status, eating style, living environment, and interaction with the surrounding environment can be analyzed, modeling the blood flow in the digital twin.According to claim 61, it also connects to a PH meter to measure the acidity or alkalinity of meals and analyzes the progress of metabolism and digestion.

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