Next-Generation Vibro-Acoustography Platform for Personalized Medicine and Real-Time Tissue Analysis
Legal Citation
Summary of the Inventive Concept
A revolutionary vibro-acoustography platform that integrates hybrid transducers, machine learning-based signal processing, and cloud-based data analytics to enable real-time, label-free, and non-invasive tissue analysis and personalized medicine.
Background and Problem Solved
The original patent on multi-frequency harmonic acoustography for target identification and border detection has limitations in terms of resolution, speed, and clinical applicability. The new inventive concept addresses these limitations by introducing a hybrid transducer that combines acoustic and optical sensing, enabling real-time monitoring of tissue properties and personalized treatment plans.
Detailed Description of the Inventive Concept
The next-generation vibro-acoustography platform comprises a compact, wearable transducer array that emits and detects acoustic waves, a hybrid transducer incorporating a piezoelectric element and an optical sensor, and a machine learning-based signal processor. The platform can generate high-resolution, multi-frequency images of target tissues and provide real-time feedback on changes in tissue properties. The cloud-based database of tissue properties and machine learning-based algorithm enable personalized treatment plans and real-time monitoring of treatment efficacy.
Novelty and Inventive Step
The new claims introduce a paradigm shift in vibro-acoustography by combining acoustic and optical sensing, enabling real-time monitoring of tissue properties, and integrating machine learning-based signal processing and cloud-based data analytics. These advancements provide a significant improvement over the original patent, enabling personalized medicine and real-time tissue analysis.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different types of sensors, such as electromagnetic or thermal sensors, or the integration of other imaging modalities, such as ultrasound or MRI. Variations of the platform could be designed for specific clinical applications, such as cancer diagnosis or cardiovascular disease monitoring.
Potential Commercial Applications and Market
The next-generation vibro-acoustography platform has significant commercial potential in the fields of personalized medicine, medical imaging, and healthcare analytics. The platform could be marketed to hospitals, research institutions, and pharmaceutical companies, with potential applications in cancer diagnosis, cardiovascular disease monitoring, and neurodegenerative disease research.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B8/485 |
| A | A61 | A61B8/085 |
| A | A61 | A61B8/4494 |
| B | B06 | B06B1/0622 |
| G | G01 | G01S7/52038 |
| G | G01 | G01S15/8913 |
| G | G01 | G01S15/8922 |
| G | G01 | G01S15/8952 |
| A | A61 | A61B8/5207 |
| G | G01 | G01S7/5203 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging and diagnostic ultrasound technologies, with specialized expertise in multi-frequency acoustic imaging, transducer design, and signal processing for tissue characterization
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical imaging specialist with advanced degrees in electrical engineering or biomedical engineering, proficient in ultrasound signal processing, transducer design, and machine learning techniques for medical diagnostics
Obviousness Rationale
A person having ordinary skill would recognize that the PTD represents a predictable extension of the source patent's multi-frequency harmonic acoustography techniques by integrating machine learning, cloud-based analytics, and hybrid sensing modalities. The core acoustic imaging principles remain consistent, with the PTD introducing incremental technological improvements that would be apparent to a skilled practitioner familiar with emerging medical imaging technologies. The combination of known techniques and standard engineering design choices demonstrates the obvious nature of the disclosed variations.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,373 |
|---|---|
| Title | Multi-frequency harmonic acoustography for target identification and border detection |
| Assignee(s) | The Regents of the University of California |