Standardized Meal Challenge Kit for Food Sensitivity Diagnosis
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Solution Overview
Problem
Current methods lack a standardized and effective way to diagnose food sensitivities and intolerances, such as gluten sensitivity, lactose intolerance, and FODMAP sensitivity, due to the complexity of tracking food intake and interpreting symptom data, leading to imprecise results and reliance on trial-and-error approaches.
Innovation Solution
A standardized meal challenge kit and mobile health application that uses a series of N=1 cross-over experiments, eliminating and challenging specific dietary constituents to quantify dietary sensitivity, eliminating the need for continuous meal tracking and providing a standardized stimulus for scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standardized meal challenge kits are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The testing system is segmented into modular components: standardized meal challenge kits containing specific dietary constituents, mobile health application modules for data collection, and automated analysis algorithms. This segmentation allows complex diagnostic functionality to be delivered through manageable, standardized components that reduce implementation complexity while maintaining high measurement precision
Solution Approach 2:
The system standardizes key parameters including meal composition, challenge duration, and stimulus dosages. By controlling and standardizing these parameters across all tests, the system achieves consistent, reproducible results with high diagnostic accuracy while simplifying the testing protocol for users
2Ease of operation
If continuous meal tracking is eliminated, then ease of operation is improved, but loss of information increases
Solution Approach 1:
The system performs preliminary actions by pre-defining standardized meals and challenge protocols with known compositions. This eliminates the need for users to track every meal component, as the standardized meals come with predetermined nutritional information, thereby maintaining data completeness while greatly simplifying user operation
Solution Approach 2:
The mobile health application serves as an intermediary that automatically collects symptom data, timestamps, and correlates them with standardized meal challenges. This intermediary system captures necessary diagnostic information without requiring manual meal tracking, bridging the gap between user convenience and data completeness
3Reliability
If trial-and-error approaches are replaced with standardized testing, then reliability is improved, but loss of time increases
Solution Approach 1:
The system employs periodic action through structured elimination and challenge phases with predetermined durations. This standardized temporal structure ensures reliable diagnostic results by systematically introducing and removing specific dietary constituents at controlled intervals, making the testing process more time-efficient and reliable compared to unstructured trial-and-error approaches
Data Source
AI summary
Described herein are kits and methods for identifying the likelihood of having a food sensitivity or intolerance, and determining dietary modifications accordingly. For example, the likelihood of having sensitivities, intolerances or allergies to gluten, lactose, FODMAPs and others tested and calculated. Additionally, diet modifications can be determined according to the likelihood of particular sensitivities, and the effectiveness of diet modifications can be evaluated by monitoring of meals and subsequent symptoms, and evaluating the monitoring information. Through application of the methods herein, dietary intake and symptom data may be collected and aggregated to evaluate the effect or desirability of particular foods on a population of interest.