AI Microbiome Monitoring for IBD Treatment Evaluation
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Solution Overview
Problem
Patients with chronic digestive diseases like inflammatory bowel disease (IBD) face challenges in determining the effectiveness of alternative therapies due to limited objective data, making it difficult to identify which treatments provide symptom relief and balance in the gut microbiome.
Innovation Solution
Monitoring parameters such as microbiome composition, volatile organic compounds (VOCs), methane, and hydrogen production, along with genetic markers and gene expression, to objectively assess the effectiveness of alternative therapies and develop personalized treatment plans using AI and data mining techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If patients rely on structured information from questionnaires and medical records to assess treatment alternatives, then the data collection process is systematic and organized, but the information captured is limited and fails to reflect nuanced patient responses and personal adjustments
Solution Approach 1:
The patent segments treatment information into structured components (questionnaire responses, medical records) and unstructured components (narrative descriptions, personal observations). By separating these information types, the system can process each segment appropriately - structured data through traditional analysis and unstructured data through natural language processing - thereby capturing nuanced information without overwhelming the system with undifferentiated complexity
Solution Approach 2:
The patent introduces an intermediary layer of natural language processing and text analysis between the patient's narrative responses and the treatment assessment system. This intermediary transforms unstructured narrative data into structured, analyzable information, enabling the system to capture nuanced patient experiences without requiring direct complex structuring of all input data
2Reliability
If patients try alternative therapies without medical supervision to avoid them appearing in medical records, then patients maintain privacy and autonomy, but the effectiveness of these treatments cannot be objectively evaluated
Solution Approach 1:
The patent enables patients to self-report alternative treatments and outcomes through narrative inputs and mobile device interactions. Patients independently document their treatment experiences, symptoms, and outcomes without requiring medical supervision or formal medical record entry. This self-service approach allows patients to maintain autonomy while generating reliable data about alternative treatment effectiveness that can be objectively analyzed by the system
Solution Approach 2:
The patent implements feedback mechanisms where patients receive systematic prompts and guidance to document their treatment experiences, and the system provides analytical feedback on reported outcomes. This feedback loop encourages consistent data collection from patients trying alternative therapies, gradually building a reliable dataset that can objectively evaluate treatment effectiveness while respecting patient privacy and autonomy
3Measurement precision
If patients monitor multiple parameters including microbiome composition, VOCs, methane, and hydrogen to objectively assess treatment effectiveness, then the evaluation becomes scientifically rigorous, but the complexity of monitoring and analysis increases significantly
Solution Approach 1:
The patent employs a multi-functional mobile device platform that consolidates multiple monitoring capabilities - symptom tracking, dietary recording, microbiome analysis coordination, and outcome assessment - into a single universal tool. This universal platform reduces the need for separate specialized devices for each parameter, thereby maintaining measurement precision across multiple parameters while reducing overall system complexity for the patient
Solution Approach 2:
The patent merges multiple monitoring functions and data streams into a unified analysis framework. By combining microbiome composition data, VOC measurements, methane and hydrogen levels, and patient-reported symptoms into a single integrated assessment model, the system achieves comprehensive measurement precision while simplifying the patient experience through consolidated data collection and unified interpretation
4Measurement precision
If patients attempt to determine treatment effectiveness through personal observation and self-directed analysis, then patients maintain control over their treatment journey, but objectivity and control over confounding factors are lost
Solution Approach 1:
The patent replaces the mechanical system of human judgment and subjective observation with automated computational analysis. The system uses algorithms and data processing to objectively evaluate treatment effectiveness by analyzing multiple parameters and controlling for confounding factors, substituting human cognitive limitations with computational objectivity while maintaining ease of operation through automated processing
Data Source
AI summary
Embodiments of the invention include systems and methods for capturing crowd wisdom to be tested for individualized treatment plans. These systems and methods include data mining crowd sourced health related information and unstructured medical narratives and storytelling to identify treatment plans and general techniques that individuals with chronic diseases/symptoms, including but not limited to IBD and other immune invisible neglected and stigmatized diseases, use to improve their general health and wellbeing. A system for testing the treatments effectiveness in a population and then in an individual is also disclosed.