Physiological Therapeutic Matching via Clustering and Compatibility Models

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Solution Overview

Problem

Current methods for selecting therapeutic provisions lack accuracy in matching treatments to individual physiological characteristics, often resulting in temporary solutions or those that are not well-tolerated, as they do not account for unique user physiological information for specific medical purposes.

Innovation Solution

A system and method utilizing a computing device to receive user physiological data, identify antidotal therapeutic provisions through a therapeutic clustering model, and generate a compatibility model to recommend suitable treatments based on user-specific biological extraction and medical conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional therapeutic selection methods are used, then the process is simple and quick, but the accuracy of matching treatments to individual physiological characteristics deteriorates

Engineering Contradiction:

Improveaccuracy of matching treatments to physiological characteristicsVSAvoidcomplexity of therapeutic selection system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the therapeutic selection process into distinct functional modules: a clustering model for identifying therapeutic provisions, a compatibility model for matching them to individual physiological profiles, and a selection mechanism that integrates both. This segmentation allows each component to specialize in specific tasks, improving overall accuracy while managing complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediary models (clustering model and compatibility model) that mediate between the raw input data (physiological characteristics and therapeutic provisions) and the final output (selected therapeutic provision). These intermediary models process and transform the data through multiple stages, enabling accurate matching without direct complex interactions between all input elements.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If generic therapeutic provisions are administered, then the implementation is straightforward, but the treatment efficacy and tolerance for individual users deteriorates

Engineering Contradiction:

Improvetreatment efficacy and toleranceVSAvoidease of implementing personalized treatment

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The system changes the parameters of therapeutic provision selection from generic to personalized by incorporating individual physiological characteristics as input parameters. The compatibility model adjusts the selection criteria based on specific user parameters (physiological profile), transforming the selection process to account for individual variations in response to treatments.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system performs preliminary analysis by first clustering therapeutic provisions into categories and then pre-evaluating their compatibility with individual physiological profiles before final selection. This preliminary action prepares and pre-processes the matching logic, making the implementation of personalized treatments more systematic and manageable.

Inventive Principle:

Principle #10Preliminary action

3Duration of action of moving object

If therapeutic provisions are selected without physiological data, then the process is fast and simple, but the duration of effective action deteriorates

Engineering Contradiction:

Improveduration of effective actionVSAvoidtime required for physiological analysis and matching

Core Design Contradiction:

Duration of action of moving objectVSLoss of time

Solution Approach 1:

The system ensures continuity of useful action by maintaining the physiological data and compatibility assessments in the selection process. The compatibility model continuously references the individual's physiological profile throughout the therapeutic provision selection, ensuring that the matching remains accurate and relevant, thereby extending the duration of effective action.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system performs preliminary clustering of therapeutic provisions and pre-computation of compatibility metrics before final selection. This preliminary action prepares the data structures and matching logic in advance, reducing the time required for the actual selection process while maintaining high accuracy in matching based on physiological characteristics.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11728017B2Methods and systems for physiologically informed therapeutic provisions

Publication Date: 2023.08.15 KPN INNOVATIONS LLC

AI summary

A system for physiologically informed therapeutic provisions includes a computing device configured to receive, from a remote device operated by a user, a conditional datum wherein the conditional datum contains a description of a current bodily complaint. The computing device is further configured to identify a plurality of antidotal therapeutic provisions, using a therapeutic clustering model wherein the therapeutic clustering model utilizes a conditional datum as an input and outputs antidotal therapeutic provisions. The computing device is further configured to locate a user biological extraction wherein the user biological extraction contains at least an element of user physiological data. The computing device is further configured to generate a compatibility model, wherein the compatibility model utilizes the antidotal therapeutic provisions and the user biological extraction as an input and outputs compatible antidotal therapeutic provisions.