Epigenetic Analysis System for Rapid Health Check via Genomic Segmentation
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Solution Overview
Problem
Current methods for identifying the effects of pathogens and tracking health changes are inefficient, relying on symptomatic reporting and impractical real-time analysis, which hinders early detection and prevention of epidemics or pandemics.
Innovation Solution
The implementation of anatomical modularization and modified hash function approaches for epigenetic analysis, enabling rapid sequencing and correlation with baseline medical status, facilitating real-time health checks and bio-surveillance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional epigenetic sequencing methods are used to identify disease effects, then comprehensive health analysis can be achieved, but real-time analysis becomes impractical due to significant memory storage and computing power requirements
Solution Approach 1:
The patent segments the genome into smaller genomic regions and assigns each region a unique identifier, transforming complex genomic data into manageable discrete units. This segmentation enables efficient storage and rapid comparison without requiring comprehensive sequencing of entire genomes, thus reducing analysis time while maintaining health detection accuracy.
Solution Approach 2:
The patent creates simplified copies of genomic information through unique identifiers that represent specific genomic regions. Instead of storing and processing complete genomic sequences, the system uses these identifier copies to track and compare epigenetic modifications, dramatically reducing computational requirements while preserving the ability to detect disease-related changes.
2Reliability
If comprehensive biomarker tracking is implemented for early disease detection, then health monitoring capability is improved, but computational complexity and resource requirements increase significantly
Solution Approach 1:
The patent extracts only the essential information needed for disease detection by assigning unique identifiers to specific genomic regions. This extraction process isolates the critical data elements (epigenetic modifications in disease-associated regions) from the overwhelming complexity of complete genomic data, enabling reliable disease detection with reduced computational complexity.
Solution Approach 2:
The patent transforms genomic data from continuous sequence information into discrete parameter representations (unique identifiers for genomic regions). This parameter change converts complex biological data into a format that is computationally efficient to store and analyze, maintaining detection reliability while reducing system complexity.
3Productivity
If real-time bio-surveillance is implemented to track pathogen spread, then early warning capability is enhanced, but data processing requirements and overhead become prohibitively high
Solution Approach 1:
The patent performs preliminary actions by pre-segmenting the genome and assigning unique identifiers to genomic regions before actual disease detection is needed. This advance preparation creates a ready-to-use framework that enables rapid real-time surveillance without requiring intensive processing during actual monitoring, thus enhancing detection speed while reducing ongoing processing overhead.
Data Source
AI summary
The present subject matter addresses a process and testing procedures for establishing a baseline medical status and tracking changes to an individual's immune system with exposure to impact events over time. In particular, the processes described herein establish a baseline medical status for the individual and, through periodic or otherwise initiated medical sampling, map the changes and development of an individual's immune system using biomarkers for exposures. These biomarkers are cataloged as part of an individual medical profile and can assist in bio-surveillance efforts to identify biomarkers for global under-reported and under-researched pathogens through the study of individuals originating from or visiting highly infectious areas. In particular, the present subject matter relates to a method for the diagnosis of an impact event to physiology as well as a system for implementing such analysis and providing treatment options and alerts.