Intelligent Particle Therapy for Personalized Cardiac Arrhythmia Treatment

Publication ID: 24-11857808_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Particle Therapy for Personalized Cardiac Arrhythmia Treatment,” Published Technical Disclosure No. 24-11857808_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857808_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,808.

Summary of the Inventive Concept

This inventive concept envisions a next-generation particle therapy system that leverages machine learning, real-time imaging, and adaptive radiation delivery to provide personalized, precise, and effective treatment for cardiac arrhythmias, surpassing the limitations of current particle therapy approaches.

Background and Problem Solved

The original patent disclosed a system and method for carbon particle therapy for treating cardiac arrhythmias, which relied on mapping and gating to compensate for tissue movement. However, this approach has limitations, such as reduced accuracy due to imperfect motion prediction and potential collateral damage. The new inventive concept addresses these limitations by incorporating advanced technologies to enable real-time adaptation, precision targeting, and personalized treatment.

Detailed Description of the Inventive Concept

The proposed system comprises a machine learning-based motion prediction module, a real-time adaptive radiation delivery module, and a multi-modal imaging module for simultaneous acquisition of cardiac movement data and high-resolution anatomical images. The system enables personalized treatment planning using patient-specific, 3D-printed cardiac models and integrates machine learning-based cardiac motion forecasting with real-time radiation beam adjustment. Additionally, a wearable cardiac monitoring device tracks cardiac movement and transmits real-time data to the radiation therapy system for adaptive radiation delivery.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in particle therapy by integrating machine learning, real-time imaging, and adaptive radiation delivery, enabling unprecedented precision, personalization, and effectiveness in treating cardiac arrhythmias. The combination of these advanced technologies and the wearable cardiac monitoring device constitutes a novel and non-obvious invention.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different machine learning algorithms, incorporating additional imaging modalities, or integrating with other treatment modalities, such as electrophysiology or pharmacological interventions. Variations could also include adapting the system for treating other diseases or conditions, such as cancer or neurological disorders.

Potential Commercial Applications and Market

The proposed inventive concept has significant commercial potential in the radiation oncology and cardiology markets, with potential applications in hospitals, clinics, and research institutions. The system's ability to provide personalized, precise, and effective treatment for cardiac arrhythmias could lead to improved patient outcomes, reduced healthcare costs, and increased market share for companies adopting this technology.

Field of Art

Medical radiation therapy, specifically particle therapy for cardiac tissue targeting, requiring expertise in radiation oncology, medical imaging, motion tracking, and advanced computational techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in medical physics, biomedical engineering, or radiation oncology, possessing knowledge of particle therapy, motion compensation techniques, medical imaging technologies, and machine learning applications in medical treatment planning

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning-based motion prediction and adaptive radiation delivery represents a predictable technological progression from the source patent's fundamental motion compensation and tissue mapping techniques. The integration of machine learning with existing radiation therapy motion tracking is a logical extension of known techniques for improving precision in particle therapy. The proposed system builds directly upon the source patent's core methodology of compensating for tissue movement during targeted particle delivery.

Obvious Combinations & Variations

Source Patent Element
Mapping targeted tissue to compensate for respiratory and cardiac movements
PTD Variation
Machine learning-based motion prediction module for anticipating cardiac tissue movement
Obviousness Reasoning
Using machine learning to predict motion is a known technique for improving existing motion tracking systems, representing an obvious enhancement to existing motion compensation methods
Source Patent Element
Phase contouring using pre-procedural imaging to obtain sequential images
PTD Variation
Multi-modal imaging module for simultaneously acquiring real-time cardiac movement data and high-resolution anatomical images
Obviousness Reasoning
Expanding imaging techniques to provide more comprehensive motion tracking is a predictable improvement that a PHOSITA would find obvious given existing medical imaging technologies
Source Patent Element
Gating to compensate for tissue movements
PTD Variation
Real-time adaptive radiation delivery module for adjusting radiation beams based on predicted motion
Obviousness Reasoning
Dynamic beam adjustment is a logical progression from static gating techniques, representing an obvious optimization of existing motion compensation strategies
Source Patent Element
Contouring to follow critical targets and avoid non-targeted tissue
PTD Variation
Patient-specific 3D-printed cardiac models for precise radiation targeting and minimizing collateral damage
Obviousness Reasoning
Using personalized anatomical models to improve targeting precision is a predictable application of advanced medical imaging and manufacturing technologies
Source Patent Element
Targeting specific tissue for treating cardiac arrhythmias
PTD Variation
Wearable cardiac monitoring device transmitting real-time data to radiation therapy system
Obviousness Reasoning
Integrating continuous monitoring with treatment delivery is an obvious technological improvement for enhancing precision and patient-specific treatment
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857808 and the disclosed technical variations, a person having ordinary skill in the art would find the proposed particle therapy system with machine learning-based motion prediction, adaptive radiation delivery, and personalized imaging techniques to be obvious variations of existing motion compensation methods in cardiac particle therapy. The incremental technological improvements represent predictable applications of known techniques in medical imaging, motion tracking, and computational technologies.

Original Patent Information

Patent NumberUS 11,857,808
TitleSystem and method for carbon particle therapy for treatment of cardiac arrhythmias and other diseases
Assignee(s)Mayo Foundation for Medical Education and Research