Personalized and Adaptive Neuromodulation Systems

Publication ID: 24-11857275_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Personalized and Adaptive Neuromodulation Systems,” Published Technical Disclosure No. 24-11857275_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857275_0001_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

This inventive concept presents a novel approach to neuromodulation therapy, enabling personalized and adaptive brain stimulation through advanced analytics and real-time processing.

Background and Problem Solved

The original patent disclosed a system for targeted neuromodulation, which, while effective, has limitations in terms of personalization and adaptability. The present inventive concept addresses these limitations by introducing advanced analytics, machine learning, and real-time processing to optimize brain stimulation therapy for individual patients.

Detailed Description of the Inventive Concept

The inventive concept comprises a system for personalized neuromodulation, featuring a brain stimulation device, a processor configured to analyze patient brain data and identify multiple stimulation targets, and a user interface for selecting a target. The system can adjust the brain stimulation device in real-time to optimize therapy, using machine learning algorithms to predict optimal stimulation targets. Additionally, the system can generate personalized stimulation targets by ranking potential targets based on predicted efficacy, and adapt the stimulation targets over time based on treatment outcomes.

Novelty and Inventive Step

The inventive concept introduces novel elements, including real-time processing, machine learning algorithms, and adaptive stimulation targets, which differentiate it from the original patent and provide a non-obvious solution to the problem of personalized and adaptive neuromodulation.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of brain stimulation devices, such as transcranial direct current stimulation or electrical stimulation delivered via an implantable electrostimulator. Variations could also include the integration of additional data sources, such as functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), to further enhance the personalization and adaptability of the system.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the neuromodulation therapy market, particularly in the treatment of mental health conditions such as major depressive disorder. The system's ability to provide personalized and adaptive brain stimulation could lead to improved treatment outcomes and increased patient satisfaction, making it an attractive solution for healthcare providers and patients alike.

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

Neurological medical technologies, specifically neuromodulation systems involving brain stimulation, diagnostic imaging, and personalized medical treatment technologies. Requires expertise in neuroscience, medical imaging, signal processing, machine learning, and biomedical engineering

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or neuroscientist with advanced degree, familiar with brain imaging techniques, neurological treatment protocols, computational analysis of brain data, and current neuromodulation technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and adaptive stimulation approaches represent predictable extensions of the source patent's foundational neuromodulation framework. The disclosed variations apply standard machine learning techniques to personalize and optimize brain stimulation, which would be an expected technological progression for a skilled practitioner seeking to improve targeted neurological interventions.

Obvious Combinations & Variations

Source Patent Element
Obtaining patient brain data using structural MRI scans for targeted brain stimulation
PTD Variation
Expanding data analysis to include machine learning algorithms for predicting and ranking stimulation targets
Obviousness Reasoning
Applying machine learning to medical imaging data is a known technique for enhancing diagnostic and treatment precision, representing an obvious optimization strategy
Source Patent Element
Brain stimulation therapy targeting specific brain regions
PTD Variation
Real-time adjustment of stimulation protocols based on ongoing brain activity monitoring
Obviousness Reasoning
Adaptive treatment protocols are a predictable technological advancement for improving therapeutic outcomes, utilizing standard sensor and processing technologies
Source Patent Element
Transcranial magnetic stimulation for treating mental conditions
PTD Variation
Incorporating reinforcement learning to dynamically adapt stimulation targets based on treatment responses
Obviousness Reasoning
Using computational learning techniques to optimize medical interventions is a standard approach in personalized medicine, representing an obvious technological progression
Source Patent Element
Systems for generating personalized brain stimulation targets
PTD Variation
Implementing neural network algorithms to predict treatment efficacy and rank potential stimulation targets
Obviousness Reasoning
Applying neural network prediction to medical treatment selection is a known technique for improving personalized therapeutic approaches
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857275 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations of personalized, adaptive neuromodulation systems to be obvious extensions of existing brain stimulation technologies. The combination of known techniques in machine learning, brain imaging, and treatment optimization would render the claimed inventions prima facie obvious under 35 U.S.C. ยง 103.

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