Dynamic Therapy Planning System for Dementia

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Solution Overview

Problem

Current therapies for Alzheimer's disease and other dementia-related diseases are ineffective in preventing or reversing cognitive decline, with no truly effective treatment developed to date, and existing approaches focus on single underlying biological mechanisms rather than addressing multiple factors simultaneously.

Innovation Solution

A comprehensive and dynamic tool using interactive and analytical components that processes personal and biological data to create personalized therapy plans by targeting multiple underlying biological mechanisms, combining pharmacological and non-pharmacological components, and dynamically adjusting treatment based on real-time monitoring and feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If current monotherapy approaches are used to treat dementia-related diseases, then the treatment focuses on a single biological mechanism, but the therapy is ineffective in preventing or reversing cognitive decline

Engineering Contradiction:

Improveeffectiveness of therapyVSAvoidability to address multiple biological mechanisms

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent combines multiple therapeutic agents targeting different biological mechanisms into a single polytherapy regimen. The system integrates pharmacological interventions for amyloid-beta clearance, tau pathology modulation, neuroinflammation reduction, and synaptic function enhancement into a unified treatment plan, thereby addressing the limitations of monotherapy and improving overall treatment effectiveness

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The computational system performs multiple functions: it identifies patients based on genetic risk profiles, selects appropriate therapeutic agents targeting various biological mechanisms, monitors treatment response through biomarker analysis, and dynamically adjusts therapy plans. This multi-functional approach enables a single system to address diverse biological mechanisms simultaneously, enhancing both versatility and reliability

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If personalized therapy plans targeting multiple biological mechanisms are implemented, then treatment effectiveness may improve, but the complexity of the system increases

Engineering Contradiction:

Improveeffectiveness of personalized therapyVSAvoidcomplexity of therapy planning system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system incorporates continuous feedback loops where treatment responses are monitored through biomarker measurements and clinical assessments. Based on this feedback, the computational algorithm dynamically adjusts the therapy plan by modifying agent selections, dosages, and combinations. This feedback mechanism manages system complexity by using real-time data to optimize treatments without requiring manual intervention for each adjustment

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The computational system autonomously performs therapy plan generation, agent selection, and optimization without requiring continuous human intervention. The algorithm independently processes patient data, identifies suitable therapeutic combinations, and adjusts plans based on simulated responses, thereby managing complexity through automated self-service capabilities while maintaining high personalization standards

Inventive Principle:

Principle #25Self-service

3Manufacturing precision

If real-time monitoring and dynamic adjustment of therapy plans are implemented, then treatment optimization improves, but the time and resources required for monitoring increase

Engineering Contradiction:

Improveprecision of therapy optimizationVSAvoidtime required for monitoring and adjustment

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary computational simulations to predict treatment responses before implementing actual therapies. By pre-calculating optimal agent combinations and dosages based on patient-specific genetic and biomarker profiles, the system reduces the time required for real-time adjustments and minimizes trial-and-error approaches, thereby optimizing precision while reducing time loss

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20240379238A1Interactive and analytical system that provides a dynamic tool for therapies to prevent and cure dementia-related diseases

Publication Date: 2024.11.14 UMETHOD HEALTH INC

AI summary

A computer-implemented method, system, and apparatus for providing interactive and analytical components that provide a comprehensive and dynamic tool for therapies to prevent and cure dementia-related diseases. The invention includes one or more computers that receive and store personal information for people, including personal background information, pre-existing conditions, current medications, genomic data and diagnostic information. The computers also generate synergic data containing compounded probability data specifying an expected adjustment of individual biological mechanisms from particular combinations of therapies. For each person, the computers process personal information and identify a subset of biological mechanisms that are principally affected by dementia-related diseases or the substantial risk of dementia-related diseases. The computers also apply the personal information including the principally-affected biological mechanisms to the therapy data and generate for each person one or more messages communicating a therapy plan containing a combination of therapies and determines how to apply the therapies.