Personalized Real-time Adaptive Cavitation-Enhanced Ultrasound Treatment Planning

Publication ID: 24-11857807_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Real-time Adaptive Cavitation-Enhanced Ultrasound Treatment Planning,” Published Technical Disclosure No. 24-11857807_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857807_0005_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. 11,857,807.

Summary of the Inventive Concept

A next-generation system for cavitation-enhanced ultrasound treatment planning that integrates real-time monitoring, AI-driven optimization, and personalized treatment protocols to revolutionize drug delivery and treatment outcomes.

Background and Problem Solved

The original patent disclosed a simulation-based drug treatment planning system, but it had limitations in terms of real-time adaptability and personalized treatment. The new inventive concept addresses these limitations by introducing a wearable implantable device, neural network-based AI module, and digital twin modeling to enable real-time adaptive drug delivery and closed-loop control.

Detailed Description of the Inventive Concept

The inventive concept comprises a wearable implantable device that monitors a patient's physiological responses to a cavitation-enhanced ultrasound procedure and adjusts sonication parameters in real-time. The device is integrated with a neural network-based AI module that predicts optimal sonication parameters based on real-time data from the patient's physiological responses. Additionally, the system utilizes a digital twin model of the patient's anatomy and a machine learning-based optimization engine to predict optimal treatment protocols for individual patients. The system enables personalized, closed-loop control of the ultrasound procedure, ensuring optimal treatment outcomes and minimizing adverse effects.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of real-time monitoring, AI-driven optimization, and digital twin modeling to enable personalized and adaptive cavitation-enhanced ultrasound treatment planning. This represents a significant departure from the original patent's simulation-based approach and provides a paradigm shift in the field of drug treatment planning.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, AI algorithms, or optimization engines. Variations could also include the integration of additional data sources, such as medical imaging or genomic data, to further personalize treatment protocols.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the pharmaceutical and medical device industries, particularly in the areas of targeted drug delivery and personalized medicine. The system could be marketed as a platform for optimizing treatment outcomes and reducing adverse effects in a variety of therapeutic applications.

Field of Art

Medical device engineering, biomedical ultrasound technologies, and drug delivery systems with a focus on blood-brain barrier treatment and personalized medical interventions

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with advanced degrees in bioengineering, expertise in ultrasound technologies, machine learning applications in medical treatments, and familiarity with adaptive medical device design

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed real-time adaptive system represents a natural evolutionary progression from the source patent's simulation-based approach. The integration of AI-driven optimization and real-time monitoring are logical extensions of the original patent's predictive modeling and treatment adjustment framework. The core technical problem of precise ultrasound-mediated drug delivery remains consistent, with the PTD offering incremental technological improvements using standard machine learning and sensor integration techniques.

Obvious Combinations & Variations

Source Patent Element
Processor configured to predict degree of tissue disruption as a function of time
PTD Variation
Neural network-based AI module predicting optimal sonication parameters using real-time physiological response data
Obviousness Reasoning
Predictable application of machine learning techniques to enhance existing predictive modeling capabilities, representing an obvious design improvement using known AI techniques
Source Patent Element
Treatment protocol comparison and adjustment mechanism
PTD Variation
Closed-loop control system with adaptive sonication parameter modification based on real-time feedback
Obviousness Reasoning
Straightforward implementation of control theory principles to extend the source patent's treatment adjustment methodology, utilizing standard feedback control approaches
Source Patent Element
Simulation of cavitation-enhanced drug treatment procedure
PTD Variation
Digital twin modeling of patient anatomy with machine learning-based optimization engine
Obviousness Reasoning
Logical progression of computational modeling techniques, applying emerging digital twin and machine learning technologies to enhance existing simulation approaches
Source Patent Element
Sonication parameter variations including amplitude, frequency, and beam characteristics
PTD Variation
Wearable implantable device with sensor array for detecting and responding to physiological changes
Obviousness Reasoning
Natural extension of existing parameter adjustment techniques, incorporating miniaturized sensing technologies commonly known in medical device engineering
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857807 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations of personalized, real-time adaptive ultrasound treatment planning to be obvious and non-patentable. The proposed system represents a predictable combination of known techniques in medical device design, machine learning, and ultrasound-mediated drug delivery, lacking the requisite non-obviousness for patent protection.

Original Patent Information

Patent NumberUS 11,857,807
TitleSimulation-based drug treatment planning
Assignee(s)INSIGHTEC, LTD.