Personalized Skin Rejuvenation System with Integrated AI, IoT, and Blockchain Technologies

Publication ID: 24-11857682_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Personalized Skin Rejuvenation System with Integrated AI, IoT, and Blockchain Technologies,” Published Technical Disclosure No. 24-11857682_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857682_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. 11,857,682.

Summary of the Inventive Concept

A synergistic system combining modified hyaluronate compositions with AI-powered skin analysis, IoT-enabled real-time skin hydration monitoring, and blockchain-based secure data storage and supply chain management for personalized and effective skin rejuvenation treatments.

Background and Problem Solved

The original patent disclosed a method for making modified hyaluronate compositions for soft tissue fillers. However, the patent did not address the limitations of manual skin analysis, lack of personalized treatment plans, and inadequate data tracking and supply chain management. The new inventive concept integrates distinct technologies to create a comprehensive system for personalized skin rejuvenation, overcoming these limitations.

Detailed Description of the Inventive Concept

The system comprises a modified hyaluronate composition made by the method of claim 1, integrated with an AI-powered skin analysis module for identifying optimal injection sites and dosages. The AI module uses machine learning algorithms to analyze patient-specific skin characteristics and generate personalized treatment plans. Additionally, a wearable IoT device monitors skin hydration levels in real-time, transmitting data to a cloud-based server for analysis and personalized recommendations. The system also includes a blockchain-based secure data storage system for tracking patient treatment records and a decentralized ledger for recording transactions and product authenticity in the dermal filler supply chain.

Novelty and Inventive Step

The new claims introduce a synergistic combination of AI, IoT, and blockchain technologies with the modified hyaluronate composition, providing a non-obvious and novel solution for personalized skin rejuvenation. The integration of these distinct technologies enables a more effective, efficient, and secure system for skin rejuvenation treatments.

Alternative Embodiments and Variations

Alternative embodiments may include using different machine learning algorithms or AI models for skin analysis, incorporating additional sensors or data sources into the IoT device, or utilizing different blockchain platforms for secure data storage and supply chain management. Variations may also include adapting the system for use in other aesthetic or medical applications, such as facial reconstruction or wound healing.

Potential Commercial Applications and Market

The personalized skin rejuvenation system has significant commercial potential in the aesthetics and dermatology industries, with a growing market demand for effective and personalized skin rejuvenation treatments. The system's integration of AI, IoT, and blockchain technologies also opens up opportunities for partnerships and collaborations with technology companies, pharmaceutical companies, and medical device manufacturers.

CPC Classifications

SectionClassGroup
A A61 A61K9/1652
A A61 A61K8/735
A A61 A61K9/0019
A A61 A61K9/06
A A61 A61K9/1658
A A61 A61K31/167
A A61 A61K47/42
A A61 A61Q19/08

Field of Art

Biomaterials and Aesthetic Medicine, specifically focused on hyaluronic acid-based soft tissue fillers and advanced medical technologies involving dermatological treatments and personalized medical systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biomedical engineering, materials science, or pharmaceutical sciences, possessing expertise in biomaterial formulations, medical device integration, and digital health technologies, with knowledge of machine learning, IoT, and blockchain applications in medical contexts

Obviousness Rationale

A PHOSITA would recognize that integrating digital technologies with established hyaluronate compositions represents a predictable extension of existing medical innovation strategies. The combination of AI-powered analysis, IoT monitoring, and blockchain tracking with a known hyaluronate formulation represents an obvious application of emerging technologies to enhance medical treatment personalization and tracking. The technical elements are well-established in their respective domains and their integration would be a logical progression for improving medical treatment efficacy and patient outcomes.

Obvious Combinations & Variations

Source Patent Element
Modified hyaluronate composition with specific NaCl concentration and crosslinking parameters
PTD Variation
Integrating the hyaluronate composition with AI-powered skin analysis for personalized injection site and dosage optimization
Obviousness Reasoning
Applying machine learning to optimize medical treatment parameters is a known technique in precision medicine, representing a predictable application of digital technologies to existing medical formulations
Source Patent Element
Hyaluronate composition with local anesthetic (lidocaine hydrochloride)
PTD Variation
Adding IoT-enabled real-time skin hydration monitoring to track treatment effectiveness
Obviousness Reasoning
Incorporating sensor technologies for medical monitoring is a standard approach in personalized healthcare, providing predictable enhanced patient tracking capabilities
Source Patent Element
Soft tissue filler with specific particle size and crosslinking characteristics
PTD Variation
Implementing blockchain-based supply chain and authentication tracking for the dermal filler product
Obviousness Reasoning
Using blockchain for product authentication and supply chain management is a known technique in pharmaceutical and medical device industries, representing an obvious technological enhancement
Source Patent Element
Method of creating modified hyaluronate composition
PTD Variation
Introducing biodegradable nanomaterials to enhance tissue integration
Obviousness Reasoning
Modifying biomaterial compositions with nanomaterials is a predictable approach in tissue engineering, representing an obvious extension of existing formulation techniques
Source Patent Element
Uncrosslinked hyaluronic acid solution preparation method
PTD Variation
Generating personalized treatment plans using machine learning algorithms analyzing patient-specific skin characteristics
Obviousness Reasoning
Applying computational methods to generate personalized medical treatments is a known technique in precision medicine, representing a predictable application of data analysis technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857682 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive characteristics. The integration of AI, IoT, and blockchain technologies with established hyaluronate composition methods represents a predictable combination of known techniques in the field of personalized medical treatments, thereby rendering potential patent claims obvious and unpatentable.

Original Patent Information

Patent NumberUS 11,857,682
TitleHyaluronate compositions and soft tissue fillers
Assignee(s)AMC