Personalized Obesity Treatment System with Integrated Technologies

Publication ID: 24-11857533_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Personalized Obesity Treatment System with Integrated Technologies,” Published Technical Disclosure No. 24-11857533_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857533_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. 11,857,533.

Summary of the Inventive Concept

A novel system integrating wearable devices, machine learning algorithms, blockchain technology, novel nanoparticle delivery systems, IoT-enabled biosensors, and artificial intelligence to provide personalized and optimized treatment for obesity and lipid-related metabolic disorders.

Background and Problem Solved

The original patent disclosed a functional composition for preventing or treating obesity or lipid-related metabolic disease using irosustat. However, the patent's limitations include the lack of personalized treatment approaches, inefficient data management, and limited biomarker detection capabilities. The new inventive concept addresses these limitations by integrating distinct technologies to create a more powerful system.

Detailed Description of the Inventive Concept

The system comprises a wearable device for tracking physical activity and caloric intake, which is analyzed by a machine learning algorithm to predict optimal irosustat dosages. A mobile application transmits these dosages to a patient's healthcare provider. Additionally, the system incorporates blockchain technology to store patient data and treatment outcomes on a decentralized ledger, triggering alerts and notifications for healthcare providers. The composition further includes a novel nanoparticle delivery system engineered to target specific tissues and increase bioavailability. An IoT-enabled biosensor is used for real-time detection of lipid-related metabolic disease biomarkers, which are integrated with electronic health records on a cloud-based analytics platform. Finally, artificial intelligence is used to predict obesity treatment outcomes by training a deep learning model on a dataset of patient characteristics and treatment responses.

Novelty and Inventive Step

The new claims introduce a synergistic combination of technologies that provides a personalized and optimized treatment approach, which is not obvious from the original patent. The integration of wearable devices, machine learning algorithms, blockchain technology, novel nanoparticle delivery systems, IoT-enabled biosensors, and artificial intelligence creates a new and non-obvious system for treating obesity and lipid-related metabolic disorders.

Alternative Embodiments and Variations

Alternative embodiments may include using different types of wearable devices or biosensors, varying the machine learning algorithm or blockchain technology, or incorporating additional technologies such as augmented reality or natural language processing. Variations may also include applying the system to other diseases or conditions, such as cardiovascular disease or metabolic syndromes.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the healthcare and pharmaceutical industries, particularly in the areas of personalized medicine and precision health. The system's ability to provide optimized treatment approaches and improve patient outcomes could lead to increased adoption and revenue growth in these markets.

Field of Art

Pharmaceutical biotechnology, metabolic disease treatment, personalized medicine technologies with emphasis on obesity and lipid metabolism interventions

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biomedical engineering, pharmaceutical sciences, or biotechnology, possessing expertise in drug delivery systems, machine learning applications in healthcare, and metabolic disorder treatment strategies

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a predictable combination of known technologies applied to the source patent's core pharmaceutical composition. The integration of digital health technologies, personalized monitoring, and advanced drug delivery systems represents an expected evolutionary approach to pharmaceutical treatment in the contemporary medical technology landscape. The variations demonstrate standard technological augmentation strategies commonly employed in personalized medicine approaches.

Obvious Combinations & Variations

Source Patent Element
Pharmaceutical composition for treating obesity using irosustat
PTD Variation
Nanoparticle delivery system engineered to increase bioavailability of irosustat
Obviousness Reasoning
Enhancing drug delivery through nanoparticle technologies is a well-established technique in pharmaceutical sciences, representing a predictable optimization of drug absorption and targeting
Source Patent Element
Method of treating lipid-related metabolic disorders
PTD Variation
Machine learning algorithm for predicting optimal dosages based on patient data
Obviousness Reasoning
Personalized medicine approaches using predictive analytics are standard practice, representing an obvious application of computational technologies to pharmaceutical treatment protocols
Source Patent Element
Pharmaceutical composition for obesity treatment
PTD Variation
IoT-enabled biosensors for real-time metabolic biomarker monitoring
Obviousness Reasoning
Integrating continuous monitoring technologies with pharmaceutical interventions is a known strategy for improving treatment precision and patient outcomes
Source Patent Element
Method of administering steroid sulfatase inhibitor
PTD Variation
Blockchain-based patient data management and treatment tracking system
Obviousness Reasoning
Implementing secure, decentralized data management in healthcare represents a standard technological evolution in patient record keeping and treatment documentation
Source Patent Element
Obesity and metabolic disorder treatment method
PTD Variation
Artificial intelligence model for predicting treatment efficacy
Obviousness Reasoning
Using machine learning for treatment outcome prediction is a predictable application of computational technologies in personalized medical interventions
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857533 and the technological context of personalized medicine, the variations disclosed herein would be considered obvious to a Person Having Ordinary Skill In The Art. The integration of digital health technologies, advanced drug delivery systems, and predictive analytics represents a standard evolutionary approach to pharmaceutical treatment that would be readily conceived by a skilled practitioner without requiring inventive insight.

Original Patent Information

Patent NumberUS 11,857,533
TitleComposition for preventing or treating obesity or lipid-related metabolic disorders
Assignee(s)Nexyon Biotech Co., Ltd.