Personalized Nutritional Supplement System Using AI Genomic Analysis
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Solution Overview
Problem
Current nutritional supplements are generic and not tailored to individual physiological needs, leading to sub-optimal benefits and potential adverse effects, as they are not formulated based on biological markers or genetic variations, and lack transparency in ingredients and dosages.
Innovation Solution
A system and method that uses genomic data, blood serum data, and well-being data to create personalized nutritional supplement plans, employing an AI model to formulate and iteratively update supplements, incorporating gamification mechanisms to incentivize user engagement and adjust ingredient absorption rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If generic nutritional supplements are used, then ease of manufacture and distribution is improved, but effectiveness and safety are worsened due to lack of personalization
Solution Approach 1:
The patent segments the generic supplement market into personalized formulations based on individual genomic profiles, blood serum markers, and physiological data. Each user receives a customized supplement plan tailored to their specific genetic variations and nutritional needs, transforming the monolithic generic approach into segmented, personalized solutions.
Solution Approach 2:
The patent applies local quality by customizing supplement formulations to match individual user characteristics. Each person's supplement plan is locally optimized based on their unique genomic data, blood serum levels, and physiological responses, rather than applying a uniform formula to all users.
2Reliability
If personalized supplements based on genomic data are created, then effectiveness is improved, but device complexity and data processing requirements are worsened
Solution Approach 1:
The patent introduces an AI-based intermediary system that mediates between complex genomic data inputs and personalized supplement formulations. The AI model processes and interprets genomic variations, blood serum data, and physiological information to generate optimized supplement plans, acting as an intelligent intermediary that simplifies the complexity for users.
Solution Approach 2:
The patent replaces manual nutritional assessment and supplement formulation with an automated AI-based system. The mechanical process of expert analysis and custom formulation is substituted with computational algorithms that analyze genomic data and generate personalized supplement plans automatically.
3Manufacturing precision
If iterative updates based on blood serum markers are implemented, then precision of dosing is improved, but loss of time for monitoring and adjustment is worsened
Solution Approach 1:
The patent implements a feedback mechanism where users provide blood serum marker data and physiological responses, which are fed back into the AI model to iteratively refine and update supplement formulations. This continuous feedback loop enables progressive optimization of dosing precision based on actual user responses.
Solution Approach 2:
The patent performs preliminary genomic analysis and initial supplement formulation before actual supplementation begins. By pre-processing genomic data and creating baseline supplement plans in advance, the system reduces the time required for ongoing monitoring and adjustments.
4Reliability
If transparent ingredient formulations are provided, then user trust and safety are improved, but manufacturing complexity is worsened due to custom formulations
Solution Approach 1:
The patent changes the parameters of supplement formulations based on individual user data, adjusting ingredient types and dosages to match specific genomic profiles and physiological needs. This parameter-based customization enables transparent labeling that reflects each user's personalized formula while maintaining manufacturing feasibility through systematic variation of core ingredients.
Data Source
AI summary
Systems and methods for implementing a nutritional supplement plan for a user. The systems and methods involve analyzing qualitative and/or quantitative data of the user, such as genomic, blood serum, physiological, and/or well-being data, and utilizing a nutritional supplement model for achieving optimum levels of blood serum markers for a given supplement formulation, wherein the nutritional supplement model is iteratively updated based on actual levels of blood serum markers and updated genomic, blood serum, physiological, and/or well-being data the user after the user ingests the nutritional supplement. Such systems and methods can also be used to identify effective nutritional supplements for a user and achieve improvements in performance and/or health of the user.


