Synergistic Pharmaceutical Compositions with Integrated Technologies

Publication ID: 24-11857625_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Pharmaceutical Compositions with Integrated Technologies,” Published Technical Disclosure No. 24-11857625_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857625_0003_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. 11,857,625.

Summary of the Inventive Concept

This inventive concept integrates the original pharmaceutical composition with advanced technologies, such as AI, IoT, blockchain, and novel materials, to create a more powerful and personalized system for pharmaceutical formulation, monitoring, and prediction.

Background and Problem Solved

The original patent relates to pharmaceutical compositions comprising an antibody, glycine, acetate buffer, and polysorbate 80. However, it has limitations in terms of stability, formulation, and personalization. The new inventive concept addresses these limitations by incorporating advanced technologies to enhance stability, optimize formulation, and provide personalized medicine.

Detailed Description of the Inventive Concept

The new inventive concept consists of synergistic combinations of the original pharmaceutical composition with advanced technologies. For instance, the system for monitoring and predicting pharmaceutical composition stability uses a blockchain-based database and an AI-powered algorithm to analyze stability data and predict potential instability. The method for optimizing pharmaceutical composition formulation employs an IoT-enabled sensor to monitor pH levels and adjust them in real-time to ensure stability. The pharmaceutical composition comprising a novel material with enhanced stability properties and a polysorbate 80 and acetate buffer system offers improved stability. The system for personalized medicine uses AI-powered algorithms to analyze patient-specific data and recommend personalized composition formulations. The method for predicting pharmaceutical composition stability using machine learning trains a model on a dataset of stability data to predict stability of new compositions.

Novelty and Inventive Step

The new claims introduce novel and non-obvious combinations of advanced technologies with the original pharmaceutical composition, providing a synergistic effect that enhances stability, optimizes formulation, and enables personalized medicine. The inventive step lies in the integration of these technologies to create a more powerful and effective system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other advanced technologies, such as quantum computing or nanotechnology, to further enhance the system's capabilities. Variations of the system could be designed for specific pharmaceutical applications, such as vaccine development or gene therapy.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the pharmaceutical industry, particularly in the areas of personalized medicine, pharmaceutical formulation, and stability monitoring. The target market includes pharmaceutical companies, research institutions, and healthcare providers seeking to improve the development and delivery of pharmaceutical products.

CPC Classifications

SectionClassGroup
A A61 A61K39/39591
A A61 A61K47/12
A A61 A61K47/183
A A61 A61K47/26
C C07 C07K16/244
C C07 C07K2317/76

Field of Art

Pharmaceutical biotechnology, specifically antibody formulation and composition design, involving protein therapeutics, buffer systems, and advanced pharmaceutical technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in pharmaceutical sciences, biotechnology, or chemical engineering, possessing expertise in protein stability, formulation techniques, and emerging technologies for drug development

Obviousness Rationale

A person of ordinary skill would recognize that integrating advanced monitoring and predictive technologies into pharmaceutical composition development represents a natural progression of existing pharmaceutical research methodologies. The PTD's proposed AI, blockchain, and IoT technologies are well-established in adjacent technical domains and would be considered straightforward extensions of existing pharmaceutical research and development practices. The core pharmaceutical composition remains fundamentally consistent with the source patent, with technological augmentations representing incremental improvements rather than radical innovations.

Obvious Combinations & Variations

Source Patent Element
Pharmaceutical composition with specific antibody concentration and buffer system
PTD Variation
Adding AI-powered stability prediction algorithms to monitor and analyze composition characteristics
Obviousness Reasoning
Predictable application of machine learning techniques to existing pharmaceutical stability monitoring, representing a known technique for enhancing quality control processes
Source Patent Element
Acetate buffer and glycine concentration specifications
PTD Variation
IoT-enabled real-time pH monitoring and automated buffer adjustment
Obviousness Reasoning
Routine implementation of sensor technologies for precise pharmaceutical formulation control, utilizing well-established industrial monitoring principles
Source Patent Element
Antibody composition with polysorbate 80
PTD Variation
Blockchain-based data tracking for pharmaceutical composition stability documentation
Obviousness Reasoning
Systematic application of distributed ledger technologies to enhance traceability and documentation in pharmaceutical research, representing an obvious technological extension
Source Patent Element
Antigen-binding fragment with specific molecular characteristics
PTD Variation
Personalized medicine system using AI to recommend composition modifications
Obviousness Reasoning
Logical progression of computational approaches to pharmaceutical personalization, leveraging known machine learning techniques for therapeutic optimization
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in the Published Technical Disclosure would have been obvious to a person having ordinary skill in the art at the time of invention, as the technological augmentations represent predictable applications of known techniques to the pharmaceutical composition disclosed in US Patent 11857625, without producing unexpected results or requiring inventive complexity beyond the capabilities of an ordinarily skilled practitioner.

Original Patent Information

Patent NumberUS 11,857,625
TitlePharmaceutical compositions
Assignee(s)UCB BIOPHARMA SRL