Intelligent Pharmaceutical Composition Development and Monitoring System

Publication ID: 24-11857625_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Pharmaceutical Composition Development and Monitoring System,” Published Technical Disclosure No. 24-11857625_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857625_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. 11,857,625.

Summary of the Inventive Concept

A comprehensive system integrating machine learning, blockchain, IoT, and 3D printing technologies to optimize pharmaceutical composition development, monitoring, and production, ensuring enhanced stability, authenticity, and personalized treatment.

Background and Problem Solved

The original patent disclosed a pharmaceutical composition comprising an antibody, glycine, acetate buffer, and polysorbate 80. However, the development and production of such compositions often face challenges related to stability, authenticity, and personalization. The new inventive concept addresses these limitations by introducing a synergistic combination of advanced technologies to create a more powerful system.

Detailed Description of the Inventive Concept

The system comprises a database storing data on pharmaceutical compositions, an AI model trained on the database to predict optimal composition parameters, and a prediction module for determining the optimal composition. Additionally, the system integrates blockchain technology to track composition development and verify authenticity. IoT sensors monitor storage conditions, and a notification module alerts users of deviations from optimal storage conditions. The system also utilizes 3D printing to create personalized pharmaceutical compositions based on patient data. Furthermore, an artificial neural network is employed to predict composition stability.

Novelty and Inventive Step

The new inventive concept introduces a novel combination of machine learning, blockchain, IoT, and 3D printing technologies to optimize pharmaceutical composition development, monitoring, and production. The integration of these distinct technologies provides an inventive step beyond the original patent, enabling enhanced stability, authenticity, and personalized treatment.

Alternative Embodiments and Variations

Alternative embodiments may include using different AI models or machine learning algorithms, integrating additional technologies such as robotics or virtual reality, or applying the system to other fields beyond pharmaceutical compositions. Variations may include adapting the system for specific disease treatments or developing mobile applications for patient monitoring.

Potential Commercial Applications and Market

The Intelligent Pharmaceutical Composition Development and Monitoring System has significant commercial potential in the pharmaceutical industry, particularly in the development of personalized medicines and biologics. The system's ability to ensure composition stability, authenticity, and personalized treatment can lead to improved patient outcomes, reduced costs, and increased market share.

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 development, involving advanced computational methods for drug design and monitoring

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in pharmaceutical sciences, biotechnology, machine learning, and drug formulation techniques, holding advanced degrees in biochemistry, pharmaceutical engineering, or related fields

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, blockchain, and IoT technologies into pharmaceutical composition development represents a predictable application of known computational techniques to optimize existing pharmaceutical formulation processes. The disclosed system extends standard pharmaceutical research methodologies by applying emerging digital technologies to enhance composition stability, tracking, and personalization. These technological integrations would be considered routine optimization strategies within the pharmaceutical innovation landscape.

Obvious Combinations & Variations

Source Patent Element
Pharmaceutical composition with specific antibody concentration and buffer parameters
PTD Variation
AI-driven prediction of optimal composition parameters using machine learning algorithms
Obviousness Reasoning
Applying machine learning to pharmaceutical formulation represents a known technique for systematic optimization of composition parameters, with predictable results in improving development efficiency
Source Patent Element
Antibody-based pharmaceutical composition with specific concentration ranges
PTD Variation
3D printing personalized pharmaceutical compositions based on patient-specific data
Obviousness Reasoning
Customizing drug formulations using patient data is a predictable extension of existing personalized medicine approaches, representing a finite and obvious solution to improving treatment precision
Source Patent Element
Pharmaceutical composition with specific buffer and stabilization components
PTD Variation
IoT sensor-based monitoring of composition storage conditions and stability
Obviousness Reasoning
Implementing real-time monitoring technologies for pharmaceutical stability is a known technique for quality control, representing an obvious technological enhancement
Source Patent Element
Pharmaceutical composition with specific antibody and buffer characteristics
PTD Variation
Blockchain-based tracking and authentication of composition development process
Obviousness Reasoning
Using blockchain for documentation and verification is a predictable application of emerging digital authentication technologies to pharmaceutical research workflows
Source Patent Element
Pharmaceutical composition with defined molecular characteristics
PTD Variation
Artificial neural network for predicting composition stability and performance
Obviousness Reasoning
Applying computational prediction techniques to pharmaceutical research represents a standard approach for systematic performance evaluation, with predictable results in enhancing development processes
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857625 and the published technical disclosure, a person having ordinary skill in the art would find the disclosed pharmaceutical composition optimization system and methods obvious, as the combination of known computational technologies represents a predictable and routine enhancement of existing pharmaceutical research methodologies. The integration of machine learning, blockchain, IoT, and 3D printing technologies constitutes an obvious extension of prior art techniques for pharmaceutical composition development and monitoring.

Original Patent Information

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