Synergistic Neuromodulation Systems

Publication ID: 24-11857275_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Neuromodulation Systems,” Published Technical Disclosure No. 24-11857275_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857275_0003_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. 11,857,275.

Summary of the Inventive Concept

A novel approach to neuromodulation therapy that integrates distinct technologies such as AI, IoT, blockchain, and new materials to create personalized stimulation targets, enhancing treatment outcomes and patient care.

Background and Problem Solved

Current neuromodulation therapies, such as TMS and DBS, often lack precision and effectiveness due to limited understanding of individual brain function. The original patent addressed this issue by generating personalized stimulation targets. However, the new inventive concept takes this a step further by combining the original patent's technology with advanced technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The synergistic neuromodulation system comprises a neural network trained on a patient's brain data, a blockchain-based secure data storage system, an AI-powered recommendation engine, an IoT-enabled wearable device, and a new material-based implantable electrostimulator. The neural network directs the processor to obtain patient brain data, which is stored securely using the blockchain-based system. The AI-powered recommendation engine provides personalized stimulation targets, and the IoT-enabled wearable device delivers the brain stimulation therapy. The new material-based implantable electrostimulator enhances the therapy's effectiveness. The system optimizes treatment outcomes by integrating the patient's brain data with the database of brain stimulation therapy outcomes.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, blockchain, and new materials into the original patent's technology, creating a synergistic system that enhances treatment outcomes and patient care. This integration is novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments could include using different AI algorithms or machine learning models, integrating with other wearable devices or implantable electrostimulators, or utilizing alternative blockchain-based secure data storage systems. Variations could also include using the system for different mental conditions or expanding the system to include other therapies.

Potential Commercial Applications and Market

The synergistic neuromodulation system has significant commercial potential in the healthcare industry, particularly in the fields of mental health and neuroscience. The system's ability to provide personalized and effective treatment outcomes could revolutionize the way neuromodulation therapies are delivered, making it an attractive solution for hospitals, clinics, and medical research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B34/20
A A61 A61B5/0036
A A61 A61B5/055
A A61 A61N1/20
A A61 A61N1/36096
A A61 A61N2/006
G G01 G01R33/4806
G G01 G01R33/5608

Field of Art

Biomedical engineering, neurotechnology, and medical informatics, with expertise in brain stimulation therapies, neuroimaging, data processing, and personalized medical technologies

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biomedical engineering or neuroscience, proficient in neural signal processing, machine learning, medical device design, and interdisciplinary technology integration

Obviousness Rationale

A PHOSITA would recognize that the published technical disclosure represents predictable technological extensions of the source patent's core neuromodulation framework by applying known computational and medical technologies to enhance personalized brain stimulation approaches. The integration of AI, blockchain, and IoT represents standard engineering problem-solving techniques for improving medical data management and treatment personalization. These technological additions would be considered routine optimization strategies within the neuromodulation domain.

Obvious Combinations & Variations

Source Patent Element
Targeted neuromodulation system using patient brain data and structural MRI scans
PTD Variation
Adding neural network training and AI-powered recommendation engine for stimulation target identification
Obviousness Reasoning
Applying machine learning to medical imaging data is a known technique for enhancing diagnostic and treatment precision, representing a predictable technological improvement
Source Patent Element
Brain stimulation therapy delivery methods
PTD Variation
Incorporating IoT-enabled wearable devices and blockchain-based secure data storage
Obviousness Reasoning
Integrating secure data management and remote monitoring technologies are standard design choices for improving medical device functionality and patient care
Source Patent Element
Implantable electrostimulation approaches
PTD Variation
Developing new material-based implantable electrostimulators with neural interface capabilities
Obviousness Reasoning
Material science innovations and enhanced neural feedback represent expected evolutionary improvements in medical device technology
Source Patent Element
Processor-based targeting application for brain stimulation
PTD Variation
Creating a comprehensive database of brain stimulation therapy outcomes to optimize targeting
Obviousness Reasoning
Systematic data collection and algorithmic treatment optimization are standard approaches in personalized medical technology development
Source Patent Element
Treatment of mental conditions through brain stimulation
PTD Variation
Expanding treatment approaches through integrated AI and machine learning algorithms
Obviousness Reasoning
Applying computational techniques to refine medical treatment protocols represents a predictable technological progression in personalized medicine
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857275 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious and anticipated, as the disclosed technological integrations represent routine engineering solutions that would be apparent to a skilled practitioner seeking to enhance neuromodulation therapy systems through computational and interdisciplinary technological approaches.

Original Patent Information

Patent NumberUS 11,857,275
TitleSystems and methods for targeted neuromodulation
Assignee(s)The Board of Trustees of the Leland Stanford Junior University