Personalized Gynecological Disease Prevention and Treatment System

Publication ID: 24-11857586_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Gynecological Disease Prevention and Treatment System,” Published Technical Disclosure No. 24-11857586_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857586_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. 11,857,586.

Summary of the Inventive Concept

A next-generation system for preventing and treating gynecological diseases using Sarcodon aspratus extracts, integrating genomic and hormonal profiling, machine learning, and wearable devices for tailored treatments and real-time monitoring.

Background and Problem Solved

The original patent disclosed a pharmaceutical composition for preventing or treating gynecological diseases using Sarcodon aspratus extracts. However, this approach has limitations in terms of individualization and real-time adaptation. The new inventive concept addresses these limitations by introducing a personalized and dynamic system that leverages advanced technologies to provide more effective and targeted treatments.

Detailed Description of the Inventive Concept

The system comprises a database of genomic and hormonal profiles of individuals, a machine learning model trained on the database to predict susceptibility to gynecological diseases, and a formulation generator that creates customized Sarcodon aspratus extracts-based compositions tailored to an individual's specific needs. Additionally, the system includes wearable devices and mobile applications for real-time monitoring and adjustment of Sarcodon aspratus extracts dosage. The system also features a novel Sarcodon aspratus extracts-based nanoparticle formulation for targeted delivery of active ingredients to specific gynecological tissues. Furthermore, the system includes a computer-implemented module for predicting and preventing gynecological disease onset, integrating genomic, hormonal, and lifestyle data to identify high-risk individuals and suggesting personalized health recommendations, including supplementation with Sarcodon aspratus extracts.

Novelty and Inventive Step

The new claims introduce a paradigm shift in gynecological disease prevention and treatment by integrating advanced technologies, such as machine learning, wearable devices, and nanoparticle formulations, to provide personalized and dynamic treatments. The inventive step lies in the combination of these technologies to create a tailored and adaptive system that goes beyond the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the system could include the use of different machine learning algorithms, various types of wearable devices, or alternative nanoparticle formulations. Additionally, the system could be adapted for use in other disease areas or expanded to include additional health recommendations and interventions.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the healthcare industry, particularly in the areas of personalized medicine, women's health, and disease prevention. The system could be marketed to healthcare providers, pharmaceutical companies, and health technology startups, offering a competitive advantage in terms of treatment outcomes and patient satisfaction.

CPC Classifications

SectionClassGroup
A A61 A61K36/07
A A61 A61K9/0056
A A61 A61P15/08
A A61 A61K2236/333

Field of Art

Pharmaceutical biotechnology, specifically gynecological disease treatment and personalized medicine, involving pharmaceutical composition design, machine learning, genomic profiling, and targeted drug delivery systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biotechnology, pharmaceutical sciences, or biomedical engineering, possessing expertise in machine learning, nanotechnology, personalized medicine techniques, and understanding of herbal extract-based therapeutics

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, genomic profiling, and targeted delivery technologies with the existing Sarcodon aspratus extracts represents a predictable extension of known personalized medicine approaches. The core therapeutic mechanism of using Sarcodon aspratus extracts remains consistent, while the technological enhancements provide incremental improvements in treatment precision and efficacy. These variations represent standard technological progressions within personalized medicine and biotechnology domains.

Obvious Combinations & Variations

Source Patent Element
Pharmaceutical composition containing Sarcodon aspratus extracts for gynecological disease treatment
PTD Variation
Nanoparticle-based targeted delivery system for Sarcodon aspratus extracts
Obviousness Reasoning
Nanoparticle drug delivery is a well-established technique in pharmaceutical sciences for improving bioavailability and targeted tissue distribution, representing a known method for enhancing existing therapeutic compounds
Source Patent Element
Method of administering Sarcodon aspratus extracts for gynecological disease prevention
PTD Variation
Machine learning-driven personalized dosage and treatment recommendation system
Obviousness Reasoning
Personalized medicine techniques using predictive analytics are standard approaches for optimizing therapeutic interventions, representing a predictable application of computational technologies to existing medical treatments
Source Patent Element
Functional health food containing Sarcodon aspratus extracts
PTD Variation
Wearable device-integrated real-time monitoring and dynamic dosage adjustment system
Obviousness Reasoning
Integrating continuous health monitoring with adaptive treatment protocols is a foreseeable technological progression in personalized healthcare, utilizing standard IoT and data analytics techniques
Source Patent Element
Pharmaceutical composition for preventing gynecological diseases
PTD Variation
Genomic and hormonal profiling-based risk prediction and intervention system
Obviousness Reasoning
Leveraging comprehensive patient data for disease risk assessment is a standard approach in precision medicine, representing an obvious extension of existing diagnostic and preventative methodologies
Source Patent Element
Sarcodon aspratus extracts as active ingredients
PTD Variation
AI-driven biomarker discovery for developing customized extract-based therapies
Obviousness Reasoning
Using machine learning for biomarker identification is a well-established technique in medical research, representing a predictable application of computational technologies to therapeutic development
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857586 and the comprehensive technological extensions disclosed herein, a person of ordinary skill in the art would find the claimed variations obvious and lacking inventive step. The published technical disclosure demonstrates that the integration of machine learning, genomic profiling, and targeted delivery technologies with existing Sarcodon aspratus extract-based treatments represents a predictable and obvious progression within the field of personalized gynecological medicine.

Original Patent Information

Patent NumberUS 11,857,586
TitlePharmaceutical composition for preventing or treating gynecological diseases containing Sarcodon aspratus extracts as active ingredient