Patient-Specific Treatment Program Determination via Disease Trajectory Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining medication programs are general and not specific to individual patients, often requiring years of experimentation, and rely on subjective assessment, which can be detrimental and fail to account for long-term effects and complex disease dynamics.
Innovation Solution
A method that involves obtaining subject data, using a model to determine system values representing the condition, and determining treatment programs based on trajectories of the condition's progression, including the use of Liapunov functions to stabilize and control the condition's behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If general medication regimes are used for different patients, then the determination process is simplified and can be established quickly, but the treatment effectiveness deteriorates because different patients respond differently to the same medication
Solution Approach 1:
The system performs preliminary analysis of patient-specific data (genetic information, medical history, current condition) before determining the medication program. This preliminary action enables customization without requiring years of empirical experimentation on each patient, resolving the contradiction between quick determination and effective treatment.
Solution Approach 2:
The system changes key parameters such as medication dosage, administration frequency, and duration based on individual patient characteristics. By dynamically adjusting these parameters according to patient-specific data, the system achieves both rapid program determination and high treatment effectiveness.
2Reliability
If empirical medication doses are monitored to provide tailored regimes, then treatment effectiveness improves for individual patients, but the monitoring process can have a detrimental effect on the patient's health
Solution Approach 1:
Instead of monitoring after administering empirical doses, the system performs preliminary analysis of patient data before determining the medication program. This eliminates the need for harmful trial-and-error monitoring while still achieving tailored treatment effectiveness.
Solution Approach 2:
The system introduces computational modeling and prediction algorithms as intermediaries between patient data and treatment determination. This intermediary layer enables accurate prediction of treatment outcomes without requiring actual empirical testing on the patient, thus avoiding health deterioration from monitoring.
3Device complexity
If only a limited number of factors are taken into account when determining medication regimes, then the determination process is simplified and faster, but the treatment accuracy deteriorates due to the complexity and non-linearity of disease dynamics
Solution Approach 1:
The system segments the complex determination process into distinct modules: data collection, data analysis, model selection, and program generation. Each module handles specific aspects of the complexity, making the overall process manageable while maintaining high treatment accuracy through comprehensive factor consideration.
Solution Approach 2:
The system employs dynamic models that can adapt to the non-linear and complex nature of disease progression. By using dynamic rather than static approaches, the system accurately captures disease dynamics while maintaining computational efficiency through optimized algorithms.
Data Source
AI summary
The present invention provides a method of determining a treatment program for a subject. The method includes obtaining subject data representing the subject's condition. The subject data is used together with a model of the condition, to determine system values representing the condition. These system values are then used to determining one or more trajectories representing the progression of the condition in accordance with the model. From this, it is possible to determine a treatment program in accordance with the determined trajectories.