Closed-Loop AI EMF Therapy Control Using Patient Metrics
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Solution Overview
Problem
Existing therapies for chronic diseases such as diabetes, cancer, and neurological diseases often fail to achieve optimal treatment due to invasiveness, low patient adherence, and high costs, primarily because they only address symptoms and have complex dosing regimens.
Innovation Solution
A processor-based system utilizing magnetic non-parallel electric and magnetic non-parallel magnetic field (MNPEF/MNPMF) therapy, combined with machine learning algorithms, to optimize therapy parameters based on real-time patient metrics, including analytes and compliance data, for personalized and minimally invasive treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional medication and therapy regimens are used for chronic diseases, then treatment coverage is provided, but patient adherence is low due to complexity and discomfort
Solution Approach 1:
The system enables self-service through automated closed-loop control where the therapy system automatically adjusts treatment parameters based on real-time physiological data from sensors, eliminating the need for manual dosing decisions and complex patient management while maintaining treatment efficacy
Solution Approach 2:
The patent replaces mechanical/invasive therapy delivery (injections, surgical interventions) with non-invasive electromagnetic field therapy delivered through wearable or implantable devices, reducing patient discomfort and improving adherence while maintaining treatment effectiveness
2Reliability
If invasive therapies are employed to treat chronic diseases, then treatment intensity is increased, but patient comfort and adherence decrease
Solution Approach 1:
The system substitutes invasive mechanical interventions (surgery, injections, implants requiring incisions) with non-invasive electromagnetic field delivery through wearable devices or minimally invasive implantable pulse generators, maintaining treatment intensity while eliminating harmful invasive effects
Solution Approach 2:
The patent changes the fundamental parameter of therapy delivery from mechanical/invasive methods to electromagnetic field-based non-invasive methods, allowing high treatment intensity to be achieved without physical invasion of tissues
3Manufacturing precision
If complex dosing regimens are prescribed, then treatment precision is improved, but system complexity and cost increase
Solution Approach 1:
The system implements closed-loop feedback control where real-time physiological data from sensors continuously feeds back to the therapy delivery system, which automatically adjusts treatment parameters to maintain optimal dosing precision without requiring complex pre-programmed regimens or manual intervention
Solution Approach 2:
The therapy system performs self-adjustment of dosing parameters based on real-time physiological feedback, eliminating the need for complex external management and reducing overall system complexity while maintaining high dosing precision
Data Source
AI summary
A system may include a processor-based system including at least one processor and memory comprising instructions. When executed by the processor-based system, the instructions cause the processor-based system to: access metrics of a subject who is being treated with a therapy that includes a magnetic non-parallel electric field (MNPEF) therapy or a magnetic non-parallel magnetic field (MNPMF) therapy, wherein the accessed metrics include at least one analyte, the at least one analyte including one or more of blood glucose data, lactate data, or pyruvate data, free fatty acid data, cholesterol data, and compliance data for complying with the therapy; use the accessed metrics as an input to a machine learning algorithm that is configured to determine a set of therapy parameters for the therapy, and program a controller operably connected to at least one energy field system to deliver the therapy according to the determined set of therapy parameters.