Sexual Wellness Platform With Four-Component Microbiome Scoring
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Solution Overview
Problem
Couples face challenges in addressing health issues privately and jointly, such as diagnosing potential health conditions or infertility, which can strain their relationship due to lack of communication and understanding of microbiome health.
Innovation Solution
A system and method for quantifying and characterizing microbiome health through a four-component scoring system, using microbial DNA sequencing data to generate a standardized score, and providing personalized health recommendations via a mobile app.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive microbiome analysis is performed using multiple parameters, then measurement precision and diagnostic accuracy are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The microbiome health assessment is divided into four distinct components: beneficial microorganisms percentage, context-dependent microorganisms, potentially harmful microorganisms, and microbiome-type characteristics. Each component is evaluated separately and then integrated into an overall health score, making the complex analysis manageable and interpretable
Solution Approach 2:
The system transforms complex microbiome data into a simplified four-component scoring framework. By changing the parameters from raw microbial diversity data to standardized components (beneficial %, context-dependent, harmful, and microbiome-type characteristics), the system maintains measurement precision while reducing perceived complexity for users
2Measurement precision
If detailed microbiome composition data is provided, then diagnostic accuracy is improved, but ease of operation and user understanding deteriorate due to technical complexity
Solution Approach 1:
The four-component scoring system acts as an intermediary between complex microbiome data and user understanding. Instead of presenting raw sequencing data or complex taxonomic information, the system translates these into four intuitive components that are easier for non-experts to interpret while retaining diagnostic accuracy
Solution Approach 2:
The system changes the parameter representation from complex microbial taxonomy and abundance data to four simplified components with clear meanings (beneficial, context-dependent, harmful, and microbiome-type). This parameter transformation maintains scientific rigor while improving accessibility for end users
3Reliability
If multiple microbiome parameters are evaluated, then diagnostic reliability is improved, but loss of information increases due to data integration complexity
Solution Approach 1:
The evaluation is segmented into four specific components that collectively capture the essential aspects of microbiome health. By dividing the assessment into beneficial microorganisms, context-dependent microorganisms, potentially harmful microorganisms, and microbiome-type characteristics, the system maintains comprehensive information while organizing it in a structured, non-redundant manner
Data Source
AI summary
The embodiments disclose a method including receiving, with a first memory device, user profile data including demographics from at least from two persons, receiving specimen samples of personal tissue and pelvic fluid the at least two persons, analyzing, with a first processor, the specimen samples to identify test results including hormones, infections, PH levels and genetic disorders, comparing, with a second processor, the test results to determine any correlation with predetermined medical conditions data, converting, with a third processor, the correlation information into recommendation data for each person, and transmitting, with a platform communication device, the recommendation data to the individual wellness app operating on each person's mobile device.