Published Technical Disclosure Archive

Adaptive Neurovascular Flow Control Systems

Publication ID: 24-11857195_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Neurovascular Flow Control Systems,” Published Technical Disclosure No. 24-11857195_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857195_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. 11,857,195.

Summary of the Inventive Concept

A next-generation vessel flow control technology that integrates AI, genomics, and decentralized networks to provide personalized, real-time treatment of afflicted vessels and associated tissues.

Background and Problem Solved

The original patent's vessel flow control devices and methods, while effective, have limitations in terms of adaptability, precision, and data-driven decision making. The new inventive concept addresses these limitations by envisioning a future where vessel flow control is dynamically optimized using advanced analytics, genomics, and AI-driven occlusion strategies.

Detailed Description of the Inventive Concept

The inventive concept comprises a range of interconnected components, including neural network-based predictive analytics modules, dynamically configurable occlusion devices, genomic analysis tools, brain-computer interfaces, and decentralized blockchain-based networks. These components work in concert to provide real-time, personalized treatment of afflicted vessels and associated tissues. The system learns from patient physiological responses and adapts its occlusion strategy over time, enabling more effective and efficient treatment outcomes.

Novelty and Inventive Step

The new claims introduce a paradigm shift in vessel flow control by incorporating AI, genomics, and decentralized networks. The inventive concept's use of predictive analytics, genomic profiling, and real-time occlusion adjustment represents a significant departure from the original patent's more static and manual approach.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of edge computing for faster data processing, integration with wearables and IoT devices for more comprehensive patient monitoring, or the development of specialized occlusion devices for specific vascular conditions.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device and healthcare industries, particularly in the areas of cardiovascular disease treatment, neurovascular therapy, and personalized medicine. The market for such advanced vessel flow control systems is expected to grow significantly in the coming years, driven by increasing demand for more effective and efficient treatment options.

CPC Classifications

SectionClassGroup
A A61 A61B17/1204
A A61 A61B17/12027
A A61 A61B17/12031
A A61 A61B17/12036
A A61 A61B17/12045
A A61 A61B17/12109
A A61 A61B17/12136
A A61 A61B17/12177
A A61 A61F2/86
A A61 A61F2/90
A A61 A61B2017/00004
A A61 A61B2090/064
A A61 A61F2002/068
A A61 A61F2250/0031

Field of Art

Medical device technologies for vascular intervention, specifically focusing on flow control and occlusion systems for neurovascular and tissue treatment applications, requiring expertise in biomedical engineering, interventional medical device design, and advanced control systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degrees, specialized training in interventional medical device design, understanding of neural network technologies, control systems, and familiarity with adaptive medical technologies and patient-specific treatment approaches

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of AI, predictive analytics, and adaptive control mechanisms represents a natural technological progression from the source patent's foundational vessel flow control methodology. The disclosed variations leverage well-established technological domains like machine learning, genomics, and distributed computing to enhance the core vascular intervention concept. These extensions represent predictable improvements that would be obvious to a skilled practitioner seeking to optimize medical device performance through intelligent, data-driven approaches.

Obvious Combinations & Variations

Source Patent Element
Variable occlusion element with controllable internal volume and adjustable occlusion factor
PTD Variation
Neural network-based predictive analytics module dynamically adjusting occlusion device configuration
Obviousness Reasoning
Applying machine learning to optimize existing flow control mechanisms represents a known technique for improving medical device performance, with predictable results in enhanced treatment precision
Source Patent Element
Feedback-controlled vessel treatment method
PTD Variation
Genomic profiling and personalized treatment protocol generation
Obviousness Reasoning
Incorporating genetic markers into treatment strategies is a foreseeable extension of existing feedback-based medical interventions, representing a logical application of emerging biotechnology approaches
Source Patent Element
Method for controlling flow rate and pressure within a vessel
PTD Variation
Decentralized blockchain-based network for collaborative treatment optimization
Obviousness Reasoning
Implementing distributed data collection and analysis is a predictable technological advancement for improving medical device performance and treatment standardization
Source Patent Element
Occlusion device with adjustable parameters
PTD Variation
Brain-computer interface for real-time physiological response detection and intervention
Obviousness Reasoning
Integrating neural monitoring with existing flow control technologies represents a natural progression in developing more responsive medical intervention systems
Source Patent Element
Vessel flow control with percentage-based occlusion ranges
PTD Variation
AI-driven adaptive occlusion strategy that learns and modifies treatment parameters
Obviousness Reasoning
Implementing machine learning to dynamically adjust treatment parameters is a predictable application of contemporary artificial intelligence techniques to existing medical device technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857195 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and anticipated, particularly given the predictable combination of known medical device control methodologies with emerging artificial intelligence, genomic analysis, and distributed computing technologies.

Original Patent Information

Patent NumberUS 11,857,195
TitleVessel flow control devices and methods