Intestinal Microbiome Group Classification and Personalized Probiotic Provision
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Solution Overview
Problem
Existing probiotics fail to address individual variations in intestinal microbiomes, as each person's environment is unique, and current stool tests provide complex results difficult for users to understand, leading to ineffective health boosting.
Innovation Solution
A method and server system that classify users into groups based on their intestinal microbiome information, using a kit to collect samples, and provide personalized analysis results through a user device, including character icons representing health characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If generic probiotics are provided to all users, then production and distribution is simple and cost-effective, but the effectiveness is reduced because individual microbiome variations are not addressed
Solution Approach 1:
The patent segments the general population into distinct microbiome groups based on clustering analysis of microbial composition data. Instead of providing a single generic probiotic formulation to all users, the system divides users into multiple groups (e.g., Group 1, Group 2, Group 3) with similar microbiome characteristics, and assigns tailored probiotic formulations to each group. This segmentation enables personalized effective treatment while maintaining operational simplicity through automated classification.
Solution Approach 2:
The patent applies local quality by providing different probiotic formulations to different user groups based on their specific microbiome characteristics. Each group receives a customized probiotic composition with specific bacterial strains and dosages tailored to their individual needs, rather than a uniform formulation. This ensures that each user receives the appropriate local (specific to their microbiome profile) quality of treatment.
2Measurement precision
If detailed intestinal microbiome analysis is performed, then accurate health assessment is achieved, but the results become complex and difficult for users to understand
Solution Approach 1:
The patent extracts the essential health information from complex microbiome analysis results and presents only the most relevant findings to users. Instead of displaying all raw microbial composition data and statistical analyses, the system identifies and extracts key health indicators and actionable insights, removing unnecessary complexity while preserving measurement precision. Users receive simplified reports highlighting their microbiome group classification and specific health recommendations.
Solution Approach 2:
The patent creates simplified representations or copies of the complex microbiome analysis results that are easier for users to understand. The system generates user-friendly visualizations, such as simplified charts, color-coded health status indicators, and plain-language explanations, which replicate the essential information from the detailed analysis without requiring users to interpret complex scientific data.
3Reliability
If personalized probiotic formulations are developed for each user, then health effectiveness is maximized, but production complexity and cost increase significantly
Solution Approach 1:
The patent merges users with similar microbiome characteristics into the same group, so that individuals within each group receive identical or similar probiotic formulations. This combining approach maintains personalized effectiveness by targeting specific microbiome profiles while reducing production complexity by formulating probiotics for groups rather than for each individual separately. The system balances personalization with manufacturing feasibility through this merging strategy.
Data Source
AI summary
A method for providing an intestinal microbiome analysis result includes generating a plurality of groups based on previously analyzed intestinal microbiome information; receiving registration of a kit for collecting a user’s sample from a user device; classifying the user into at least one of the plurality of groups based on the user’s intestinal microbiome information obtained through an analysis of the user’s sample; and providing the user device with an intestinal microbiome analysis result including information about the at least one group into which the user is classified.