Infrared Microspectroscopy for Rapid Functional Syndrome Diagnosis
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Solution Overview
Problem
Current diagnostic methods for functional syndromes like interstitial cystitis (IC) are inadequate due to nonspecific symptoms and lack of a well-accepted diagnostic test, making it difficult to provide a simple, rapid, and reliable diagnosis.
Innovation Solution
Combining infrared microspectroscopy (IRMS) with multivariate data analysis, using a training set to establish characteristic spectral patterns for rapid, non-invasive diagnosis of IC and other disorders from biomedical samples, allowing for identification of disease states, severity, and trait vulnerability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional symptomatic empirical approach is used for diagnosing functional syndromes, then physicians can evaluate patient symptoms, but the diagnosis is difficult and time-consuming due to nonspecific symptoms and need to rule out multiple conditions
Solution Approach 1:
The patent replaces the mechanical/empirical diagnostic approach (symptom evaluation and exclusion of other conditions) with infrared spectroscopy, an optical/analytical method that directly detects biochemical signatures in patient samples, enabling rapid and accurate diagnosis without time-consuming symptom correlation and exclusion processes
Solution Approach 2:
The patent creates a spectral fingerprint copy of the patient's biochemical state through infrared spectroscopy, which serves as a diagnostic signature that can be directly compared against reference patterns, eliminating the need for time-consuming differential diagnosis while maintaining high diagnostic accuracy
2Reliability
If current diagnostic methods are used for functional syndromes, then physicians can provide care, but there is no well-accepted diagnostic test making diagnosis difficult and unreliable
Solution Approach 1:
The patent replaces complex empirical diagnostic procedures with a straightforward infrared spectroscopy-based method that provides objective, quantifiable spectral data, significantly improving diagnostic reliability while simplifying the diagnostic process from subjective symptom evaluation to objective spectral analysis
Solution Approach 2:
The patent transforms the diagnostic approach by measuring biochemical parameters directly through infrared spectral signatures rather than inferring diagnosis from subjective symptoms, providing reliable and objective diagnostic criteria for functional syndromes
3Productivity
If infrared microspectroscopy with multivariate data analysis is used, then rapid and reliable diagnosis is achieved, but advanced data analysis techniques are required
Solution Approach 1:
The patent replaces manual diagnostic interpretation with automated multivariate data analysis algorithms that process infrared spectral data, dramatically increasing diagnostic throughput while the automation handles the complexity of pattern recognition and classification
Solution Approach 2:
The patent implements self-service through automated spectral analysis algorithms that independently interpret complex spectral patterns and provide diagnostic results without requiring manual intervention, maximizing throughput while managing analytical complexity through computer automation
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 approach enables a reliable, rapid, and high-throughput method for diagnosing IC and other functional syndromes, providing a simple and effective means for clinicians to categorize disease conditions, including flare or remission, and severity, using fluid biomedical specimens.
Implementation Method 1
infrared microspectroscopy (IRMS) of a sample
Implementation Method 2
The technique uses a 'training set' of samples of known origin to establish a characteristic spectral pattern
Data Source
AI summary
Reliable and rapid diagnostic methods for many functional syndromes (FS) such as Bladder Pain Syndrome/Interstitial Cystitis (IC) are not available. Exemplary embodiments include rapid and accurate methods for diagnosing FS in humans and other mammals using infrared microspectroscopy (IRMS). Exemplary methods utilize Soft Independent Modeling by Class Analogy (SIMCA) to create classification models. Exemplary methods utilize classification models to categorize a subject's condition (e.g., healthy/sick and or flare/remission). Using these classification models, various embodiments enable diagnosis based on spectra data from a blood sample or other biomedical specimen. Exemplary embodiments may be useful for rapid diagnosis of IC and various other conditions in humans, cats, and/or other mammals.