Microbiome Disease Diagnostic System Using Multi-Modal Assays
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Solution Overview
Problem
Current methods for analyzing and modulating the human microbiome are limited in effectiveness and often result in unwanted side effects, leaving many questions unanswered regarding health and disease prevention.
Innovation Solution
A system for detecting and assessing microbiome diseases by assaying biological samples using sequencing, PCR-based, ELISA-based, and mass spectrometry-based tests, followed by generating a report for diagnosis and treatment recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods (antibiotics and probiotics) are used for microbiome modulation, then treatment is provided, but effectiveness is limited and unwanted side effects occur
Solution Approach 1:
The patent replaces conventional mechanical/biological methods (antibiotics and probiotics) with a diagnostic system that uses sequencing, PCR, ELISA, and mass spectrometry to detect microbiome diseases and generate personalized treatment recommendations, thereby improving effectiveness while reducing harmful side effects
Solution Approach 2:
The system performs comprehensive microbiome analysis and provides feedback through diagnostic reports that identify specific imbalances and recommend targeted therapies, enabling continuous monitoring and adjustment of treatment strategies to improve effectiveness and minimize side effects
2Measurement precision
If comprehensive microbiome analysis is performed using multiple test methods, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
The patent integrates multiple test methods (sequencing, PCR, ELISA, mass spectrometry) into a single comprehensive diagnostic system that can analyze different aspects of the microbiome, thereby achieving high diagnostic accuracy without requiring separate complex systems for each test type
Solution Approach 2:
The system combines multiple diagnostic techniques and data analysis approaches into a unified platform that processes various biological samples and generates integrated diagnostic reports, reducing overall system complexity while maintaining comprehensive analytical capabilities
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system provides a comprehensive and effective method for detecting microbiome diseases, enabling personalized and population-wide microbiome modulation, promoting health and preventing diseases by accurately identifying microbiome imbalances and recommending targeted therapies.
Implementation Method 1
a sequencing test, a PCR-based test, an ELISA-based test, a mass spectrometry-based test, or other suitable tests to detect and identify the presence of a microbiome disease
Implementation Method 2
a sequencing test, a PCR-based test, an ELISA-based test, a mass spectrometry-based test, or other suitable tests to detect and identify the presence of a microbiome disease
Implementation Method 3
a sequencing test, a PCR-based test, an ELISA-based test, a mass spectrometry-based test, or other suitable tests to detect and identify the presence of a microbiome disease
Implementation Method 4
a sequencing test, a PCR-based test, an ELISA-based test, a mass spectrometry-based test, or other suitable tests to detect and identify the presence of a microbiome disease
Data Source
AI summary
The present disclosure relates to systems and methods for detecting and assessing microbiome diseases by assaying a biological sample of a subject. The system comprising: means for providing the biological sample containing microorganisms, means for isolating the microorganisms from the biological sample, means for performing one or more tests on the isolated microorganisms selected from the group consisting of a sequencing test, a PCR-based test, an ELISA-based test, a mass spectrometry-based test, or other suitable tests to detect and identify the presence of a microbiome disease; andmeans for generating and providing a report based on results of the tests performed.