Microbiome Wellness Measurement System Personalization
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Solution Overview
Problem
Existing technologies for measuring individual wellness based on microbiome data rely on statistical patterns from populations and do not account for unique individual features, resulting in non-personalized wellness assessments.
Innovation Solution
A wellness measurement system and method that utilize microbiome data to compute an individual's wellness function by assigning weights to wellness areas and a microbiome-wellness association network, predicting optimal microbiome configurations, and outputting personalized recommendations through convex optimization, incorporating real variables and symptom classes to provide tailored wellness assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical patterns from population cohorts are used to determine wellness, then general wellness assessment is possible, but individual personalization and accuracy are compromised
Solution Approach 1:
The patent applies local quality by transitioning from population-level statistical patterns to individual-specific wellness functions. Each individual's unique microbiome composition, lifestyle factors, and health parameters are used to create a personalized wellness function that accurately reflects their specific health status, rather than relying on generic population averages.
Solution Approach 2:
The patent changes the fundamental parameter from population statistics to individual-level biological parameters. By incorporating specific microbiome taxa abundances, host genetic markers, and personal lifestyle parameters into the wellness function, the system adapts the measurement approach to match individual biological characteristics, thereby improving both accuracy and personalization.
2Adaptability or versatility
If microbiome data from multiple sources is integrated to improve personalization, then individual-specific wellness assessment is enhanced, but system complexity increases
Solution Approach 1:
The patent segments the complex wellness assessment into distinct functional modules: microbiome data processing, host data integration, wellness function computation, and personalized recommendation generation. Each module handles specific data types and processing tasks independently, making the overall complex system more manageable and scalable while maintaining high personalization capability.
Solution Approach 2:
The patent creates a universal wellness function framework that can handle multiple data sources (microbiome, genomic, lifestyle, clinical) and apply them across different health scenarios. This multi-functional approach allows the same core system to personalize wellness assessments for diverse individuals without requiring separate specialized systems for each data type or application.
Data Source
AI summary
A wellness measurement method for measuring a level of wellness of an individual based on wellness function using a wellness measurement system is disclosed. The method includes steps of: measuring an approximation of the wellness function for computing the level of wellness of the individual based on microbiome data of the individual; determining wellness areas using symptom classes and corresponding diseases associated with symptoms based on the approximation of the wellness function; determining possible wellness gain using the maximization technique by assigning weightage to the determined wellness areas and a microbiome-wellness association network, and predicting an optimal value of microbiome configuration for the individual based on the wellness areas and the microbiome-wellness association network, being assigned with weightage; and outputting recommendations with the wellness gain through a plurality of constraints using a convex optimization.