Amino Acid Risk Evaluation System for Lifestyle Disease Prediction
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Solution Overview
Problem
Current methods lack a systematic and accurate approach to evaluate the risk of lifestyle-related diseases using amino acid concentrations, particularly for preventive medicine, as existing biomarker evaluations fail to effectively predict future risks of diseases like cardiovascular and cerebrovascular events.
Innovation Solution
A method and system that utilize amino acid concentration data from blood to evaluate the future risk of lifestyle-related diseases by analyzing specific amino acid concentrations, converting values into standardized scores, and applying evaluation formulas to provide reliable predictive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If amino acid concentration data is used to evaluate future risk of lifestyle-related diseases, then the ability to predict future disease risk is improved, but the systematic and accurate evaluation method was previously lacking
Solution Approach 1:
The patent transforms raw amino acid concentration data into standardized scores through mathematical transformation. This parameter change enables systematic evaluation by converting complex concentration variations into comparable standardized metrics that can be systematically analyzed for disease risk prediction
Solution Approach 2:
The evaluation system segments the complex task of disease risk prediction into distinct components: data acquisition, standardized score calculation, and risk level determination. This segmentation creates a systematic approach that improves reliability while managing complexity through structured processing steps
2Measurement precision
If comprehensive amino acid analysis is performed to accurately evaluate disease risk, then measurement precision is improved, but the complexity of comprehensive analysis increases
Solution Approach 1:
The patent extracts specific amino acid concentration data from comprehensive blood analysis and focuses evaluation on these key parameters. By extracting only the necessary amino acid measurements rather than analyzing all blood components, the system achieves precise disease risk evaluation while reducing analytical complexity
Solution Approach 2:
The system performs partial analysis by selecting specific amino acids that are most relevant for lifestyle-related disease prediction rather than analyzing all possible biomarkers. This partial action approach maintains measurement precision for critical parameters while avoiding the complexity of exhaustive comprehensive analysis
Data Source
AI summary
An evaluating method includes an evaluating step of evaluating a future risk of lifestyle-related disease for a subject to be evaluated using a concentration value of an amino acid included in amino acid concentration data on the concentration value of the amino acid in blood collected from the subject.