Effective Age Modeling for Personalized Longevity Interventions
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Solution Overview
Problem
Current analysis and recommendation generation regarding longevity is imprecise due to the multiplicity of factors involved and the lack of quantitative measures indicative of implementation of solutions, with statistical soundness only being predictive of aggregated outputs.
Innovation Solution
A system and method using a server to obtain user data, project actuarial life expectancy, determine a telomeric age factor by calculating variance between actuarial life expectancy and projected actual mortality date, and generate a machine learning model to calculate effective age based on endocrine function, selecting interventions to reduce this age.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical models are used for longevity prediction, then aggregated outputs can be generated, but individual feasibility and precision are compromised
Solution Approach 1:
The patent segments the complex longevity prediction problem into multiple distinct components: chronological age assessment, biological age assessment through various biomarkers (telomeres, epigenetics, metabolomics), and integration of multiple data sources. This segmentation allows each component to be measured and evaluated independently, improving overall prediction precision while managing complexity through modular assessment
Solution Approach 2:
The patent transforms the prediction approach by changing from single-parameter statistical models to multi-parameter biological assessments. It introduces specific measurable parameters such as telomere length, DNA methylation patterns, and metabolite concentrations, converting abstract statistical predictions into concrete biological measurements that provide individualized precision
2Adaptability or versatility
If multiple factors are considered in longevity analysis, then comprehensiveness is improved, but measurement precision and implementation feasibility deteriorate
Solution Approach 1:
The patent creates a universal assessment framework that can handle multiple types of biological data (genetic, epigenetic, metabolomic, proteomic) through a single integrated system. This multi-functional approach allows different biomarkers to be processed through common analytical pathways, maintaining measurement precision while achieving comprehensive analysis across multiple biological levels
Solution Approach 2:
The patent applies local quality by assigning specific weights and importance levels to different biomarkers based on their individual contribution to longevity prediction. Rather than treating all factors equally, it optimizes the measurement precision of each specific biomarker according to its local importance in the overall assessment, allowing high-precision measurement of critical factors while managing less critical ones
3Ease of operation
If conventional life expectancy projections are used, then simplicity is maintained, but accuracy and personalization are reduced
Solution Approach 1:
The patent introduces biological age as an intermediary concept between chronological age and life expectancy. This intermediary measurement, derived from actual biological markers rather than calendar time, provides a more accurate bridge to predict remaining lifespan. The biological age assessment acts as a mediator that translates complex biological data into an intuitive metric that maintains ease of interpretation while dramatically improving accuracy
Data Source
AI summary
A system method for selecting an intervention based on effective age, the system including at least a server, the at least a server designed and configured to obtain user data, project an actuarial life expectancy using a user chronological age, determine a telomeric age factor of the user by calculating a variance between the actuarial life expectancy and a projected actual mortality date, calculate an effective age of the user based on the telomeric age factor, and select an intervention from a plurality of configured to reduce the effective age.