Published Technical Disclosure Archive

Personalized, Adaptive Fibrocartilage Implants with Integrated Sensors and Machine Learning

Publication ID: 24-11857425_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized, Adaptive Fibrocartilage Implants with Integrated Sensors and Machine Learning,” Published Technical Disclosure No. 24-11857425_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857425_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. 11,857,425.

Summary of the Inventive Concept

A next-generation system for creating personalized fibrocartilage implants that adapt to individual patient needs, integrating machine learning algorithms, sensors, and actuators to provide real-time feedback and adjustment of the implant's mechanical properties.

Background and Problem Solved

The original patent disclosed a system for making personalized fibrocartilage implants, but it had limitations in terms of adaptability, sensor integration, and real-time feedback. The new inventive concept addresses these limitations by incorporating machine learning algorithms, sensors, and actuators to create a more advanced and responsive implant.

Detailed Description of the Inventive Concept

The new inventive concept comprises a system for creating personalized, adaptive fibrocartilage implants using machine learning algorithms to predict optimal tissue structure and properties based on individual patient data. The system integrates sensors and actuators to provide real-time feedback and adjustment of the implant's mechanical properties. The implant's hierarchical, self-healing structure mimics the natural meniscus, comprising a combination of micro- and macro-scales to achieve enhanced durability and functionality. The fabrication system utilizes advanced bioprinting and 4D printing technologies to create complex, patient-specific geometries and structures.

Novelty and Inventive Step

The new claims introduce the innovative combination of machine learning algorithms, sensors, and actuators, which enables real-time feedback and adjustment of the implant's mechanical properties. This represents a significant departure from the original patent, which did not contemplate such advanced features.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the type of sensors and actuators used, the specific machine learning algorithms employed, or the materials and structures utilized in the implant. Additionally, the system could be adapted for use in other tissue engineering applications beyond fibrocartilage implants.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the fields of orthopedics, sports medicine, and tissue engineering. The market for personalized, adaptive implants is expected to grow rapidly as patients and healthcare providers increasingly demand more effective and tailored treatment options.

CPC Classifications

SectionClassGroup
A A61 A61F2/3872
A A61 A61B34/10
A A61 A61F2/30942
A A61 A61F2/442
A A61 A61B2034/102
A A61 A61F2002/302
A A61 A61F2002/30069
A A61 A61F2002/30952
A A61 A61F2002/4495

Field of Art

Biomedical engineering, tissue engineering, and medical device design, specifically focused on personalized implant fabrication techniques for musculoskeletal tissue reconstruction

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in advanced manufacturing techniques, biomaterials, 3D printing, and tissue engineering, holding a PhD or equivalent professional experience in medical device design with knowledge of computational modeling and personalized medical technologies

Obviousness Rationale

A person having ordinary skill would recognize that the source patent's personalized implant fabrication methodology naturally suggests integrating advanced sensing and adaptive technologies to enhance implant performance. The fundamental approach of patient-specific tissue engineering inherently invites computational optimization and real-time monitoring as logical extensions of the original personalized manufacturing concept. The PTD's machine learning and sensor integration represent predictable technological improvements within the established framework of personalized medical device design.

Obvious Combinations & Variations

Source Patent Element
Personalized implant fabrication using processor-driven optimization of tissue dimensions and weighting factors
PTD Variation
Integration of machine learning algorithms to predict and optimize implant structure based on patient data
Obviousness Reasoning
Computational optimization is a known technique in personalized medical device design, representing a predictable application of existing computational methods to enhance implant customization
Source Patent Element
Interlaced fibrous structure for implant fabrication
PTD Variation
Hierarchical, self-healing structure with micro- and macro-scale components
Obviousness Reasoning
Material science approaches to improving biomimetic structures are well-established, and creating more complex structural variations represents an expected design evolution
Source Patent Element
Patient-specific tissue dimension measurement and implant optimization
PTD Variation
Advanced bioprinting and 4D printing technologies for complex patient-specific geometries
Obviousness Reasoning
Emerging manufacturing technologies are a natural progression in personalized medical device fabrication, representing an obvious technological improvement to existing methods
Source Patent Element
Weaving machine forming interlaced fibrous structure
PTD Variation
Integrated sensors and actuators providing real-time feedback and mechanical property adjustment
Obviousness Reasoning
Smart material and adaptive manufacturing technologies are predictable extensions of existing personalized fabrication techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857425 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed personalized, adaptive fibrocartilage implant system with integrated machine learning and sensing technologies to be an obvious combination of known techniques in personalized medical device design. The incremental technological improvements represent predictable variations within the established framework of patient-specific tissue engineering and computational optimization methodologies.

Original Patent Information

Patent NumberUS 11,857,425
TitleSystem and method for making personalized fibrocartilage implants
Assignee(s)Rutgers, The State University of New Jersey