Intelligent Microneedle Systems for Enhanced Neural Interface and Data Management

Publication ID: 24-11857343_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Microneedle Systems for Enhanced Neural Interface and Data Management,” Published Technical Disclosure No. 24-11857343_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857343_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. 11,857,343.

Summary of the Inventive Concept

This invention integrates microneedle fabrication technology with AI, IoT, and blockchain to create a powerful system for implantable devices, real-time neural activity monitoring, and secure data storage.

Background and Problem Solved

The original patent on microneedle fabrication and device implantation has limitations in terms of real-time monitoring and data management. This new concept addresses these limitations by incorporating advanced technologies to create a more powerful and secure system.

Detailed Description of the Inventive Concept

The inventive concept comprises a microneedle fabricated according to the methods described in the original patent, integrated with a sensor to detect neural activity in biological tissue. A machine learning algorithm analyzes the detected neural activity and adjusts the implantation procedure accordingly. The system can also include a wearable device for monitoring neural activity, a cloud-based AI platform for real-time analysis, and a blockchain-based data storage system for secure and decentralized storage.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, and blockchain technologies with microneedle fabrication, providing a novel and non-obvious solution for enhanced neural interface and data management.

Alternative Embodiments and Variations

Alternative embodiments may include varying the type of sensor used, incorporating additional AI algorithms for predictive analytics, or utilizing different blockchain platforms for data storage. Variations may also include adapting the system for use in different biological tissues or integrating with other implantable devices.

Potential Commercial Applications and Market

This inventive concept has significant commercial potential in the fields of neurology, neuroscience, and medical device development, with potential applications in neural stimulation therapy, brain-computer interfaces, and personalized medicine.

CPC Classifications

SectionClassGroup
A A61 A61B5/685
A A61 A61B5/1459
A A61 A61B5/1473
A A61 A61B5/6868
A A61 A61K41/0028
A A61 A61N1/0502
A A61 A61N1/0529
A A61 A61N1/0551
A A61 A61N5/0601
B B21 B21F45/008
A A61 A61B2562/12
A A61 A61N2005/0612
A A61 A61N2005/0651
B B23 B23K1/0008
B B23 B23K2101/32

Field of Art

Biomedical engineering, neural interface technologies, microsurgical device fabrication, with expertise in microneedle design, neural sensing, and advanced medical instrumentation

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or bioengineering researcher with advanced degrees, proficient in microfabrication techniques, neural interface design, sensor integration, machine learning applications in medical technologies, and familiarity with emerging technologies like blockchain and IoT

Obviousness Rationale

A PHOSITA would recognize that integrating advanced computational and communication technologies with the foundational microneedle fabrication method represents a predictable extension of existing neural interface research. The source patent's microneedle fabrication technique provides a clear technological foundation that naturally invites enhancement through sensor integration, data analysis, and advanced monitoring capabilities. The proposed variations represent logical technological progressions that would be apparent to a skilled practitioner seeking to optimize neural interface technologies.

Obvious Combinations & Variations

Source Patent Element
Microneedle fabrication method using wire winding and brazing techniques
PTD Variation
Integration of sensor technology directly into microneedle structure for neural activity monitoring
Obviousness Reasoning
Adding sensing capabilities to microneedles is a known technique in biomedical engineering, representing a predictable combination of existing technologies to enhance diagnostic capabilities
Source Patent Element
Wire-based microneedle with reversible engagement feature
PTD Variation
Machine learning algorithm for adjusting implantation procedure based on real-time neural activity data
Obviousness Reasoning
Adaptive medical technologies using machine learning are well-established, and applying algorithmic analysis to microneedle implantation represents an obvious design optimization
Source Patent Element
Microneedle fabrication for surgical and neurosurgical applications
PTD Variation
Blockchain-based secure data storage system for neural activity monitoring
Obviousness Reasoning
Implementing secure, decentralized data management for medical technologies is a known approach in digital health, representing a straightforward technological extension
Source Patent Element
Precision microneedle manufacturing for neural interface
PTD Variation
IoT-enabled wireless communication module for remote neural activity transmission
Obviousness Reasoning
Integrating wireless communication with medical sensing devices is a standard practice in modern biomedical engineering, representing a predictable technological progression
Source Patent Element
Microneedle design for targeted tissue interaction
PTD Variation
Personalized neural stimulation therapy with real-time parameter adjustment
Obviousness Reasoning
Adaptive medical therapies using real-time feedback are well-established in medical technology, representing an obvious enhancement to existing neural interface approaches
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857343 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed neural interface system with integrated AI, IoT, and blockchain technologies to be an obvious extension of existing microneedle fabrication methodologies. The combination of known techniques in sensor integration, machine learning, and data management represents a predictable technological progression that would be apparent to a skilled practitioner in biomedical engineering.

Original Patent Information

Patent NumberUS 11,857,343
TitleMicroneedle fabrication and device implantation
Assignee(s)The Regents of the University of California