Tissue Diffractometer for Early Pathological Diagnosis

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Solution Overview

Problem

Current diagnostic methods for severe pathological conditions such as breast cancer, acute myocardial infarction, and ischemic strokes often lack early detection capabilities, leading to late diagnoses and ineffective treatments.

Innovation Solution

A diagnostic system comprising local autonomous cells (LACs) equipped with measurement equipment like tissue diffractometers, communicating with a global data center (GDC) to process and compare local measurement data with categorized global data clusters, thereby determining diagnostic indicators for physiological or pathological conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional diagnostic methods are used for severe pathological conditions, then diagnostic accuracy may be maintained through expert analysis, but early detection capability is lost leading to late diagnoses

Engineering Contradiction:

Improvediagnostic accuracyVSAvoiddiagnosis timing

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary diagnostic actions by analyzing tissue diffraction patterns early in the disease progression. The automated analysis of structural changes in tissue at the molecular level enables detection of pathological conditions before clinical symptoms appear, allowing intervention at an earlier stage while maintaining diagnostic accuracy through comparison with reference databases

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual expert diagnostic analysis with an automated computational system that processes tissue diffraction patterns. This substitution enables continuous, objective analysis of structural changes in tissue, providing early detection capability while maintaining or improving diagnostic accuracy through consistent application of analysis algorithms

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If advanced diagnostic equipment is deployed to improve early detection, then diagnostic capability is enhanced, but device complexity and cost increase

Engineering Contradiction:

Improveearly detection capabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system enables self-service diagnostic capability by providing automated analysis of tissue diffraction patterns without requiring complex manual intervention. The computational algorithms automatically process the data, compare it with reference databases, and generate diagnostic indicators, reducing the need for highly specialized equipment operators while maintaining reliable early detection

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent focuses on detecting changes in physical parameters of tissue at the molecular level through diffraction pattern analysis. By monitoring structural parameters such as collagen organization and cellular architecture changes, the system achieves reliable early detection using relatively simple measurement equipment compared to comprehensive imaging systems

Inventive Principle:

Principle #35Parameter changes

3Reliability

If comprehensive diagnostic analysis is performed to ensure accuracy, then diagnostic reliability improves, but measurement time and resource consumption increase

Engineering Contradiction:

Improvediagnostic reliabilityVSAvoiddiagnosis speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system extracts and analyzes only the most relevant features from tissue diffraction patterns that are indicative of pathological changes. By focusing on specific structural parameters such as collagen fiber organization and cellular architecture rather than performing comprehensive full-spectrum analysis, the system maintains diagnostic reliability while significantly reducing measurement and processing time

Inventive Principle:

Principle #2Taking out (Extraction)

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

Enables early and reliable diagnosis of severe pathological conditions, improving treatment outcomes by providing accessible, non-invasive, and cost-effective diagnostic methods.

Implementation Method 1

measuring a local measurement data of a local patient using measurement equipment of a local autonomous cell

Methodology Applied

Scientific EffectX-ray diffraction: Diffraction

Implementation Method 2

local X-ray diffraction data includes information about a tissue sample measured using a tissue diffractometer

Methodology Applied

Scientific EffectX-ray: X-Ray

Data Source

PatentUS20250149170A1Diffractometer-based global diagnostic systems and methods

Publication Date: 2025.05.08 EOSDX INC

AI summary

A method for diagnosing diseases in human patients can include providing a set of global X-ray diffraction (XRD) data to a global data center (GDC) and processing the set of global XRD data and categorizing it into data clusters, where each data cluster corresponds to a diagnostic indicator for assessment of a physiological or pathological condition. The method can further include communicating local XRD data and local patient data from a local autonomous cell (LAC) to the GDC, where the local XRD data includes information about a tissue sample measured using a tissue diffractometer of the LAC, and wherein the tissue sample includes skin. The method can further include processing the local XRD data, comparing it with the data clusters to determine a local diagnostic indicator for the local patient, and communicating the local diagnostic indicator to the LAC.