Biological Degradation Tracking via Targeted Biomarker Sampling

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Solution Overview

Problem

Current systems face challenges in accurately tracking and predicting age-related biological degradations due to difficulties in sampling physiological parameters and identifying degradation trajectories, leading to inefficiencies in capturing and addressing these changes.

Innovation Solution

A computing device is designed to receive biological extraction data, generate a degradation profile, identify imbalances, and determine a degradation antidote strategy through simulations that perturb and analyze user biological parameters, using machine-learning algorithms to optimize lifestyle changes and reduce degradation rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If comprehensive sampling of physiological parameters is performed to accurately track biological degradations, then measurement precision is improved, but device complexity and loss of time increase

Engineering Contradiction:

Improveaccuracy of tracking biological degradationsVSAvoidcomplexity of sampling system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the most relevant physiological parameters needed for degradation tracking rather than comprehensively sampling all possible parameters. The system identifies and monitors specific biomarkers and physiological metrics that have the highest correlation with biological degradation, eliminating unnecessary sampling complexity while maintaining accuracy.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies different sampling strategies to different physiological parameters based on their importance and degradation patterns. High-priority parameters receive more frequent and detailed sampling, while less critical parameters are monitored at lower resolutions, optimizing the balance between measurement precision and system complexity.

Inventive Principle:

Principle #3Local quality

2Measurement precision

If comprehensive sampling of physiological parameters is performed to accurately track biological degradations, then measurement precision is improved, but loss of time increases

Engineering Contradiction:

Improveaccuracy of tracking biological degradationsVSAvoidtime required for sampling and analysis

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of physiological data to identify trends and anomalies before comprehensive degradation assessment. By detecting early signs of degradation through continuous monitoring of key parameters, the system can trigger more detailed sampling only when necessary, reducing overall time loss while maintaining measurement precision.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements accelerated sampling methods that can rapidly collect and process physiological data when degradation events are detected. The system uses efficient data processing algorithms and prioritized sampling protocols to quickly move through the data collection and analysis pipeline, minimizing time loss without compromising accuracy.

Inventive Principle:

Principle #21Skipping (Rushing through)

3Reliability

If multiple confounding variables are considered to identify degradation trajectories, then reliability is improved, but device complexity increases

Engineering Contradiction:

Improveaccuracy of predicting degradation trajectoriesVSAvoidcomplexity of analysis system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex analysis of multiple confounding variables into distinct modules, each handling specific types of variables (e.g., lifestyle factors, genetic markers, environmental influences). This modular approach improves reliability by allowing each segment to be optimized and validated independently, while the overall system complexity is managed through clear interfaces between segments.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces intermediary processing layers that aggregate and pre-process confounding variables before they are used in degradation trajectory prediction. These intermediaries transform raw multi-source data into standardized features, reducing the complexity of downstream analysis while maintaining the reliability benefits of considering multiple variables.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20240006079A1Method of and system for identifying and ameliorating body degradations

Publication Date: 2024.01.04 KPN INNOVATIONS LLC

AI summary

A system for identifying and ameliorating body degradations, the system comprising a computing device, wherein the computing device is configured to receive biological extraction data. Computing device may generate, as a function of a degradation machine-learning model and the biological extraction data, a degradation profile. Computing device may calculate a biological degradation function that is a mathematical function that describes the change in rate of degradation over time corresponding to the user. Computing device may identify, using a degradation imbalance machine-learning process and the degradation profile, a degradation imbalance. Computing device may determine, as a function of the degradation imbalance machine-learning process and the degradation imbalance, a degradation antidote strategy to decrease the rate of biological degradation of a user by performing a simulation. Computing device may display to a user the degradation antidote strategy and a degradation prevention instruction set for a user to alter degradation rates.