Synergistic Integration of Phospholipid-Based Ultrasound Contrast Agents with AI, IoT, Blockchain, and Novel Materials

Publication ID: 24-11857646_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Integration of Phospholipid-Based Ultrasound Contrast Agents with AI, IoT, Blockchain, and Novel Materials,” Published Technical Disclosure No. 24-11857646_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857646_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. 11,857,646.

Summary of the Inventive Concept

The present inventive concept integrates phospholipid-based ultrasound contrast agents with cutting-edge technologies, including AI, IoT, blockchain, and novel materials, to create a more powerful and efficient system for medical imaging applications.

Background and Problem Solved

The original patent disclosed improved methods for preparing phospholipid-based ultrasound contrast agents, but it was limited by the need for manual optimization of phospholipid formulations and divalent metal cation concentrations. The present inventive concept addresses this limitation by introducing AI-optimized phospholipid formulations, real-time monitoring using IoT-enabled sensors, blockchain-based tracking and verification, and novel material compositions, enabling more efficient and effective production of ultrasound contrast agents.

Detailed Description of the Inventive Concept

The inventive concept comprises four synergistic components: (1) AI-optimized phospholipid formulations, where a machine learning model is trained on a dataset of divalent metal cation concentrations and phospholipid precipitation profiles to optimize phospholipid blends; (2) IoT-enabled sensors for real-time monitoring of phospholipid formulation concentrations and divalent metal cation levels, generating alerts and recommendations for adjusting production parameters; (3) a blockchain-based system for tracking and verifying the origin and composition of phospholipid-based ultrasound contrast agents, storing information on phospholipid formulations, production batches, and divalent metal cation levels; and (4) novel material compositions, such as a hybrid of phospholipids and graphene oxide, enhancing the stability and efficacy of the contrast agents in the presence of divalent metal cations. These components work together to create a more efficient, effective, and personalized system for medical imaging applications.

Novelty and Inventive Step

The present inventive concept introduces a novel combination of AI, IoT, blockchain, and novel materials with phospholipid-based ultrasound contrast agents, providing a synergistic integration that is not obvious from the original patent. The inventive concept's AI-optimized phospholipid formulations, real-time monitoring, and blockchain-based tracking and verification provide a significant improvement over the original patent's manual optimization methods.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different AI algorithms or machine learning models, incorporating additional sensors or monitoring systems, or developing new material compositions that further enhance the stability and efficacy of the contrast agents. Variations of the inventive concept could also include adapting the system for use in different medical imaging applications or integrating with other technologies, such as robotics or nanotechnology.

Potential Commercial Applications and Market

The present inventive concept has significant commercial potential in the medical imaging industry, particularly in the fields of ultrasound imaging and contrast agent production. The system's ability to optimize phospholipid formulations, monitor production in real-time, and track and verify product composition could lead to increased efficiency, reduced costs, and improved product quality. The target market includes hospitals, medical research institutions, and pharmaceutical companies involved in medical imaging and contrast agent production.

CPC Classifications

SectionClassGroup
A A61 A61K49/223
A A61 A61B8/481
A A61 A61K49/226
A A61 A61K49/227
C C07 C07F9/09
C C07 C07F9/106

Field of Art

Medical imaging technologies, specifically ultrasound contrast agent formulation and production, involving pharmaceutical chemistry, materials science, and advanced medical imaging techniques

Person of Ordinary Skill (PHOSITA) Profile

A PhD or Masters-level researcher with expertise in pharmaceutical chemistry, lipid formulation, medical imaging technologies, and advanced computational methods, possessing knowledge of phospholipid interactions, machine learning applications in materials science, and sensor technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of AI, IoT, and advanced materials represents predictable extensions of existing ultrasound contrast agent research, leveraging known computational and materials science techniques to optimize phospholipid formulation processes. The disclosed variations systematically address known challenges in contrast agent production by applying standard engineering and computational approaches. The technical solutions represent logical combinations of existing technologies within a predictable framework of medical imaging innovation.

Obvious Combinations & Variations

Source Patent Element
Phospholipid blend formulation with specific divalent metal cation concentrations
PTD Variation
AI-optimized machine learning model for predicting phospholipid precipitation profiles
Obviousness Reasoning
Computational optimization of chemical formulations is a known technique, and applying machine learning to pharmaceutical research represents a predictable application of existing computational methods
Source Patent Element
Phospholipid suspension preparation methods
PTD Variation
IoT-enabled real-time monitoring of production parameters and divalent metal cation levels
Obviousness Reasoning
Sensor-based process monitoring is a standard industrial engineering approach, and applying such techniques to pharmaceutical production represents a routine design choice
Source Patent Element
Lipid-encapsulated gas microsphere composition
PTD Variation
Hybrid phospholipid-graphene oxide material composition
Obviousness Reasoning
Material science research frequently explores composite materials to enhance existing formulations, and combining phospholipids with graphene oxide represents a predictable materials engineering approach
Source Patent Element
Phospholipid blend preparation using methanol and toluene
PTD Variation
Blockchain-based tracking and verification of production parameters
Obviousness Reasoning
Blockchain technology for tracking pharmaceutical production represents a standard digital transformation approach in manufacturing industries
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857646 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious, as they represent predictable combinations of known techniques in computational chemistry, materials science, and digital manufacturing, without requiring inventive insight beyond the ordinary capabilities of skilled practitioners in the field.

Original Patent Information

Patent NumberUS 11,857,646
TitleMethods for making ultrasound contrast agents
Assignee(s)Lantheus Medical Imaging, Inc.