Synergistic Microneedle Systems for Advanced Biological Tissue Interactions

Publication ID: 24-11857343_0008_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Microneedle Systems for Advanced Biological Tissue Interactions,” Published Technical Disclosure No. 24-11857343_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857343_0008_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

The integration of microneedle fabrication technology with AI, IoT, blockchain, and machine learning enables novel biological tissue interactions, such as precise implantation, real-time monitoring, and predictive analytics.

Background and Problem Solved

The original patent on microneedle fabrication and device implantation has limitations in terms of precision, safety, and data management. The new inventive concept addresses these limitations by combining the patented microneedle technology with advanced technologies to create a more powerful system.

Detailed Description of the Inventive Concept

The synergistic microneedle system comprises a microneedle fabricated according to the original patent, integrated with distinct technologies such as AI-powered navigation modules, IoT-enabled sensors, blockchain-based secure databases, and machine learning algorithms. The system enables precise implantation, real-time monitoring, and predictive analytics for biological tissue interactions. For instance, the AI-powered navigation module guides the microneedle through the tissue, while the IoT-enabled sensor detects the outer membrane's thickness. The blockchain-based secure database stores and transmits data from the microneedle, and the machine learning algorithm analyzes the data to predict the success of implantable device implantation.

Novelty and Inventive Step

The new claims introduce novel and non-obvious combinations of the patented microneedle technology with AI, IoT, blockchain, and machine learning. The integration of these technologies enables unprecedented precision, safety, and data management capabilities in biological tissue interactions.

Alternative Embodiments and Variations

Alternative embodiments of the synergistic microneedle system may include variations in the type of AI algorithm used, the specific IoT sensor technology employed, or the blockchain architecture utilized. Additionally, the system could be adapted for use in different biological tissues or applications, such as drug delivery or tissue engineering.

Potential Commercial Applications and Market

The synergistic microneedle system has significant commercial potential in the medical device industry, particularly in the areas of neurosurgery, orthopedics, and cardiology. The system's advanced capabilities in precision, safety, and data management make it an attractive solution for healthcare providers and researchers.

CPC Classifications

Section	Class	Group
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

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

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

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, proficient in microfabrication techniques, familiar with emerging technologies in neural interfaces, AI integration, and medical sensing systems, with working knowledge of interdisciplinary technology convergence

Obviousness Rationale

A PHOSITA would recognize that integrating advanced digital technologies with established microneedle fabrication techniques represents a natural progression of medical device innovation. The source patent's microneedle design provides a foundational platform for technological augmentation, and the proposed AI, IoT, and machine learning integrations represent predictable extensions of existing medical monitoring and intervention technologies. The combinations demonstrate systematic technological enhancement rather than radical departure from established medical device development paradigms.

Obvious Combinations & Variations

Source Patent Element

Microneedle fabrication method using wire winding and brazing techniques

PTD Variation

Adding AI-powered navigation module for precise tissue implantation guidance

Obviousness Reasoning

Integrating guidance systems with medical devices is a known technique, with predictable improvements in precision and safety

Source Patent Element

Microneedle designed for biological tissue interaction

PTD Variation

Incorporating IoT-enabled sensors for real-time tissue membrane thickness detection

Obviousness Reasoning

Sensor integration represents a standard approach to enhancing medical device functionality, with finite and predictable implementation strategies

Source Patent Element

Wire-based microneedle with reversible engagement feature

PTD Variation

Blockchain-based secure data transmission and storage system

Obviousness Reasoning

Implementing secure data management in medical devices is a recognized design choice with known technological approaches

Source Patent Element

Microneedle fabrication for surgical and neurosurgical applications

PTD Variation

Machine learning algorithm for predicting implantation success

Obviousness Reasoning

Predictive analytics in medical technologies represent a logical extension of existing data analysis techniques

Source Patent Element

Precise microneedle targeting for neural and non-neural structures

PTD Variation

Neural network-based predictive modeling for implantation outcomes

Obviousness Reasoning

Application of machine learning to medical device performance prediction is a standard approach in biomedical engineering

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention, as taught by US Patent 11857343, through routine technological integration and predictable combinations of known medical device enhancement techniques. The proposed system represents an obvious aggregation of prior art elements producing no unexpected results beyond the standard capabilities of skilled practitioners in biomedical engineering and medical device design.

Original Patent Information

Patent Number	US 11,857,343
Title	Microneedle fabrication and device implantation
Assignee(s)	The Regents of the University of California