Repositionable Endoluminal Support Structure with Integrated Synergistic Technologies

Publication ID: 24-11857414_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Repositionable Endoluminal Support Structure with Integrated Synergistic Technologies,” Published Technical Disclosure No. 24-11857414_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857414_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. 11,857,414.

Summary of the Inventive Concept

A repositionable endoluminal support structure that integrates with distinct technologies such as AI, IoT, blockchain, and novel materials to create a more powerful and adaptive system for endoluminal stenting and prosthetic devices.

Background and Problem Solved

The original patent described a repositionable endoluminal support structure for maintaining an open lumen in a vessel or tract. However, it lacked real-time monitoring, adaptability, and secure tracking capabilities. The new inventive concept addresses these limitations by incorporating synergistic technologies to enhance the support structure's performance, safety, and efficacy.

Detailed Description of the Inventive Concept

The repositionable endoluminal support structure comprises a plurality of longitudinal strut members interconnected by swivel joints. It is integrated with an artificial intelligence module for real-time monitoring and adjustment of the strut members' rotational angles. The support structure can be deployed using an IoT network, transmitting real-time data to a remote server for feedback and adjustment. Additionally, the support structure can be fabricated from novel shape-memory alloy materials and incorporate MEMS for sensing and responding to environmental changes. A blockchain-based system tracks and verifies the support structure's manufacturing, deployment, and maintenance history. Machine learning algorithms can be used to personalize the support structure design based on a patient's medical history and anatomical data.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, blockchain, and novel materials with the repositionable endoluminal support structure, providing real-time monitoring, adaptability, and secure tracking capabilities that are not present in the original patent. These synergistic combinations create a more powerful and adaptive system, overcoming the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the support structure with other technologies such as robotics, computer vision, or advanced sensors. Variations could include different strut geometries, materials, or actuation mechanisms to accommodate various anatomical locations and patient needs.

Potential Commercial Applications and Market

The repositionable endoluminal support structure with integrated synergistic technologies has significant commercial potential in the medical device industry, particularly in the fields of cardiovascular and neurovascular interventions. The target market includes hospitals, clinics, and medical research institutions, with potential applications in personalized medicine, minimally invasive procedures, and remote patient monitoring.

CPC Classifications

SectionClassGroup
A A61 A61F2/2427
A A61 A61F2/24
A A61 A61F2/243
A A61 A61F2/2409
A A61 A61F2/2412
A A61 A61F2/2418
A A61 A61F2/2469
A A61 A61F2/844
A A61 A61F2/2421
A A61 A61F2/82
A A61 A61F2/94
A A61 A61F2210/0076
A A61 A61F2220/0041
A A61 A61F2220/0075
A A61 A61F2230/0054
A A61 A61F2230/0091
A A61 A61F2250/001
A A61 A61F2250/0004
Y Y10 Y10T29/49826

Field of Art

Medical device engineering, specifically endoluminal support structures and interventional medical technologies, requiring advanced knowledge of biomaterials, mechanical design, and minimally invasive medical device deployment techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in medical device design, advanced materials, minimally invasive surgical technologies, and interdisciplinary integration of electronics and medical systems, holding at least a Master's degree with 3-5 years of specialized experience

Obviousness Rationale

A PHOSITA would recognize that integrating emerging digital technologies with existing medical device architectures represents a natural evolutionary progression in medical device design. The source patent's foundational stent technology provides a clear framework for incorporating advanced monitoring and adaptive technologies. The proposed variations represent predictable combinations of known techniques from medical device engineering, digital technologies, and materials science.

Obvious Combinations & Variations

Source Patent Element
Repositionable endoluminal support structure with interconnected struts and joints
PTD Variation
Adding AI module for real-time monitoring and adjustment of strut rotational angles
Obviousness Reasoning
Integrating sensor and adaptive control technologies into medical devices is a known technique, with predictable results of enhanced device performance and patient monitoring
Source Patent Element
Catheter-based deployment mechanism for endoluminal support structures
PTD Variation
IoT network for transmitting real-time deployment and positioning data
Obviousness Reasoning
Extending medical device telemetry through networked communication represents an obvious technological enhancement with clear clinical utility
Source Patent Element
Stent frame constructed from metallic materials
PTD Variation
Shape-memory alloy materials with programmable deformation capabilities and integrated MEMS sensing
Obviousness Reasoning
Advanced material selection and incorporating micro-sensing technologies are standard design optimization strategies in medical device engineering
Source Patent Element
Prosthetic heart valve frame with configurable geometry
PTD Variation
Machine learning algorithms for personalizing support structure design based on patient-specific anatomical data
Obviousness Reasoning
Customization of medical devices through computational design techniques is a predictable application of emerging digital manufacturing and data analysis technologies
Source Patent Element
Implantable medical device with mechanical configuration
PTD Variation
Blockchain-based tracking system for device authentication and maintenance history
Obviousness Reasoning
Implementing digital provenance and tracking systems represents an obvious extension of existing quality management and traceability practices in medical device manufacturing
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857414 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed endoluminal support structure integrations obvious, as they represent predictable combinations of known medical device design techniques with emerging digital technologies, thereby rendering potential claims to such variations unpatentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,414
TitleRepositionable endoluminal support structure and its applications
Assignee(s)Edwards Lifesciences CardiAQ LLC