Intelligent Skin Analysis and Personalized Care System

Publication ID: 24-11857338_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Skin Analysis and Personalized Care System,” Published Technical Disclosure No. 24-11857338_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857338_0005_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. 11,857,338.

Summary of the Inventive Concept

A next-generation skin analysis system that leverages AI, wearable devices, micro-robots, and cloud-based analytics to provide personalized skin care recommendations, predict skin health trends, and adapt to environmental changes.

Background and Problem Solved

The original patent's system for analyzing physico-chemical properties of a skin surface, while innovative, has limitations in terms of its ability to provide personalized recommendations, adapt to environmental changes, and detect early signs of skin disorders. The new inventive concept addresses these limitations by integrating advanced technologies to provide a more comprehensive and proactive approach to skin care.

Detailed Description of the Inventive Concept

The system comprises a neural network-based predictive module that identifies potential skin conditions and recommends personalized treatment products based on historical data and real-time environmental factors. A wearable device captures high-resolution images of the skin surface, which are analyzed using machine learning algorithms to detect early signs of skin disorders. A swarm of micro-robots migrates across the skin surface to collect physico-chemical data, which is processed by a cloud-based analytics platform to provide personalized skin care recommendations. A 3D-printed, customized skin patch adapts to an individual's skin type and responds to environmental changes, while a mobile app tracks skin health and provides personalized advice. The system also includes a network of skin-embedded sensors that track physiological and environmental data, which is analyzed by an AI-powered analytics engine to predict skin health trends and provide proactive recommendations for maintenance and improvement.

Novelty and Inventive Step

The new claims introduce a paradigm shift in skin analysis and care by integrating AI, wearable devices, micro-robots, and cloud-based analytics to provide personalized and proactive recommendations. The inventive concept's ability to adapt to environmental changes, detect early signs of skin disorders, and provide customized skin care solutions is new and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other types of sensors, such as optical or electrical sensors, to collect physico-chemical data. The system could also be integrated with other health monitoring devices, such as fitness trackers or smart home systems, to provide a more comprehensive view of an individual's health. Additionally, the system could be adapted for use in various industries, such as cosmetics, pharmaceuticals, or medical research.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the beauty, cosmetics, and healthcare industries, where personalized skin care solutions are in high demand. The system's ability to predict skin health trends and provide proactive recommendations could also be valuable in the medical research and pharmaceutical industries. The target market includes consumers seeking personalized skin care solutions, as well as businesses and organizations in the beauty and healthcare industries.

Field of Art

Biomedical engineering, dermatological diagnostics, and personalized healthcare technologies with expertise in skin analysis systems, sensor technologies, and machine learning applications for physiological monitoring

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering or related fields, proficient in sensor design, machine learning algorithms, and medical diagnostic technologies, with working knowledge of skin physiology and data analytics

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed variations represent predictable technological extensions of the source patent's foundational skin analysis system. The core concept of measuring skin physico-chemical properties remains consistent, with the PTD introducing incremental innovations in data collection, processing, and personalization through established technological paradigms like machine learning and cloud computing. The systematic approach to skin analysis and environmental monitoring demonstrates a natural progression of the original patent's technical framework.

Obvious Combinations & Variations

Source Patent Element
Contact sensor configured to measure skin surface properties like dielectric constant, hydration, and sebum quantity
PTD Variation
Neural network-based predictive module and micro-robot sensor swarm for collecting and analyzing skin physico-chemical data
Obviousness Reasoning
Predictable application of machine learning techniques to enhance sensor data interpretation, representing a known method of improving diagnostic precision through advanced computational analysis
Source Patent Element
Wireless communication module for sensor data transmission
PTD Variation
Cloud-based analytics platform and mobile app for processing and presenting skin health recommendations
Obviousness Reasoning
Logical extension of wireless communication technologies to enable remote data processing and user interface, utilizing standard cloud computing and mobile application development techniques
Source Patent Element
Environmental sensor measuring temperature and climatic information
PTD Variation
AI-powered analytics engine tracking physiological and environmental data to predict skin health trends
Obviousness Reasoning
Obvious implementation of machine learning techniques to enhance environmental data interpretation, representing a standard approach to developing predictive diagnostic systems
Source Patent Element
System for analyzing physico-chemical properties of skin surface
PTD Variation
3D-printed customized skin patch that adapts to individual skin type and environmental changes
Obviousness Reasoning
Predictable design variation combining known personalization techniques with existing skin analysis technologies, representing a finite solution to improving diagnostic precision
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857338 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and non-patentable. The systematic integration of machine learning, sensor technologies, and personalized healthcare monitoring represents a predictable technological progression that would be readily apparent to a skilled practitioner in the field of dermatological diagnostics and biomedical engineering.

Original Patent Information

Patent NumberUS 11,857,338
TitleSystem for analysing the physico-chemical properties of a skin surface
Assignee(s)IEVA