AI-Driven Cavitation-Enhanced Drug Treatment Planning

Publication ID: 24-11857807_0006_PTD

Published: October 28, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “AI-Driven Cavitation-Enhanced Drug Treatment Planning,” Published Technical Disclosure No. 24-11857807_0006_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857807_0006_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

An improved system and method for simulating and adjusting cavitation-enhanced drug-treatment procedures using artificial intelligence, patient-specific anatomical data, and real-time monitoring to optimize treatment outcomes and minimize risks.

Background and Problem Solved

The original patent disclosed a system for simulating and adjusting cavitation-enhanced drug-treatment procedures, but it had limitations in terms of predicting optimal sonication parameters, minimizing damage to non-target tissue, and ensuring real-time monitoring and adjustment. The new inventive concept addresses these limitations by integrating artificial intelligence, patient-specific anatomical data, and real-time monitoring to improve the safety and efficacy of the treatment procedure.

Detailed Description of the Inventive Concept

The new inventive concept utilizes artificial intelligence to predict optimal sonication parameters based on patient-specific anatomical data, enabling personalized treatment planning. The system also includes a real-time monitoring component that detects changes in tissue permeability and adjusts the sonication parameters accordingly. Additionally, the system can identify a safety threshold associated with the target BBB region and adjust the treatment protocol to avoid exceeding it. The new inventive concept also includes a method for optimizing a microbubble-enhanced ultrasound procedure for targeted drug delivery, comprising identifying a target tumor region and a target BBB region, and adjusting the ultrasound frequency and amplitude to minimize damage to non-target tissue.

Novelty and Inventive Step

The new inventive concept's use of artificial intelligence, patient-specific anatomical data, and real-time monitoring to optimize treatment outcomes and minimize risks is a novel and non-obvious improvement over the original patent. The integration of these components provides a more efficient, safer, and more effective treatment procedure.

Alternative Embodiments and Variations

Alternative embodiments of the new inventive concept could include using different machine learning algorithms, incorporating additional patient-specific data, or integrating with other medical imaging modalities. Variations of the system could include using different types of sensors for real-time monitoring or adjusting the treatment protocol based on different safety thresholds.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the pharmaceutical and medical device industries, particularly in the areas of targeted drug delivery and cancer treatment. The improved safety and efficacy of the treatment procedure could lead to increased adoption and market share.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical imaging, ultrasound-based drug delivery systems, and neurological treatment technologies, requiring advanced knowledge of medical physics, signal processing, and biomedical engineering

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with expertise in ultrasound technologies, blood-brain barrier manipulation, and computational modeling of medical interventions, holding advanced degrees and practical experience in translational medical technologies

Obviousness Rationale

A PHOSITA would recognize that integrating artificial intelligence and real-time monitoring into the existing ultrasound-based drug delivery framework represents a predictable technological advancement. The source patent's computational approach to sonication parameter optimization naturally suggests incorporating more sophisticated machine learning techniques and patient-specific data analysis. The proposed variations represent incremental improvements using standard engineering design approaches within a well-established technological domain.

Obvious Combinations & Variations

Source Patent Element

Processor configured to predict degree of tissue disruption as a function of time

PTD Variation

Using artificial intelligence to predict optimal sonication parameters based on patient-specific anatomical data

Obviousness Reasoning

Extending computational prediction methods with machine learning represents a known technique for improving predictive accuracy, with predictable results in medical imaging and treatment planning

Source Patent Element

Comparing predicted tissue disruption against target objective and altering treatment protocol

PTD Variation

Real-time monitoring system that detects tissue permeability changes and dynamically adjusts sonication parameters

Obviousness Reasoning

Implementing closed-loop feedback mechanisms is a standard engineering approach for optimizing complex medical procedures, representing an obvious design improvement

Source Patent Element

Sonication parameters including amplitude, frequency, beam shape, and direction

PTD Variation

Adjusting ultrasound frequency and amplitude to minimize damage to non-target tissue using patient-specific anatomical analysis

Obviousness Reasoning

Refining treatment parameters using individualized anatomical data is a predictable solution for improving medical intervention precision and safety

Source Patent Element

Safety thresholds associated with target BBB region

PTD Variation

Identifying and dynamically avoiding safety thresholds through AI-driven treatment protocol adjustments

Obviousness Reasoning

Enhancing safety monitoring through computational techniques represents an obvious extension of existing risk management strategies in medical device design

Source Patent Element

Computational simulation of drug treatment planning

PTD Variation

Integrating multiple medical imaging modalities and machine learning for comprehensive treatment optimization

Obviousness Reasoning

Expanding computational modeling techniques across different data sources is a standard approach for improving medical diagnostic and treatment technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857807 and the disclosed technical variations, a person having ordinary skill in the art would find the proposed AI-driven, patient-specific cavitation-enhanced drug treatment planning methods obvious and lacking inventive merit. The incremental technological improvements represent predictable applications of known computational techniques to existing ultrasound-based medical intervention methodologies, thereby rendering potential patent claims obvious and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,807
Title	Simulation-based drug treatment planning
Assignee(s)	INSIGHTEC, LTD.