Published Technical Disclosure Archive

Synergistic Positron Imaging Tomography (SPIT) System for Enhanced Bacterial Infection Diagnosis and Treatment

Publication ID: 24-11857352_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Positron Imaging Tomography (SPIT) System for Enhanced Bacterial Infection Diagnosis and Treatment,” Published Technical Disclosure No. 24-11857352_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857352_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. 11,857,352.

Summary of the Inventive Concept

The SPIT system integrates Positron Emission Tomography (PET) imaging with Artificial Intelligence (AI), Internet of Things (IoT), and blockchain technologies to revolutionize the diagnosis, treatment, and monitoring of bacterial infections.

Background and Problem Solved

The original patent disclosed a composition and method for positron imaging tomography imaging agent for bacterial infection. However, it had limitations in terms of accuracy, efficiency, and personalized treatment planning. The SPIT system addresses these limitations by combining PET imaging with AI-driven computer-aided diagnosis, IoT-enabled sensors, and blockchain-based data storage to provide a more comprehensive and effective solution.

Detailed Description of the Inventive Concept

The SPIT system consists of a PET scanner, a computer-aided diagnosis (CAD) system, a machine learning algorithm, IoT-enabled sensors, and a blockchain-based data storage system. The PET scanner acquires images of the subject, which are then processed by the CAD system and machine learning algorithm to identify regions of interest. The IoT-enabled sensors provide real-time monitoring of physiological parameters, and the blockchain-based data storage system stores and secures the PET images and treatment data. The system enables personalized treatment planning, real-time monitoring, and accurate diagnosis of bacterial infections.

Novelty and Inventive Step

The SPIT system's novelty lies in its synergistic combination of PET imaging with AI, IoT, and blockchain technologies, which provides a more accurate, efficient, and personalized solution for bacterial infection diagnosis and treatment. The inventive step is the integration of these distinct technologies to create a new, more powerful system that overcomes the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the SPIT system could include the use of other imaging modalities, such as MRI or CT, or the integration of additional technologies, such as robotics or nanotechnology. Variations of the system could also include different machine learning algorithms or blockchain-based data storage systems.

Potential Commercial Applications and Market

The SPIT system has significant commercial potential in the healthcare industry, particularly in the diagnosis and treatment of bacterial infections. The system could be marketed to hospitals, clinics, and research institutions, and could also be used in pharmaceutical development and personalized medicine.

CPC Classifications

SectionClassGroup
A A61 A61B6/037
A A61 A61K51/0402
A A61 A61P31/04
C C07 C07B59/001
C C07 C07C227/12
C C07 C07C229/60

Field of Art

Medical imaging, molecular diagnostics, radiopharmaceutical composition, and advanced diagnostic technologies with expertise in positron emission tomography (PET), molecular imaging techniques, and computational diagnostic systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biomedical engineering, nuclear medicine, or medical physics, possessing knowledge of radiochemistry, machine learning algorithms, medical imaging technologies, and interdisciplinary diagnostic system design

Obviousness Rationale

A PHOSITA would recognize that integrating computational intelligence, sensor networks, and advanced data management with existing PET imaging techniques represents a predictable technological evolution. The source patent's foundational work in bacterial infection imaging provides a clear technical foundation for expanding diagnostic capabilities through computational and networked approaches. The disclosed variations demonstrate incremental improvements that leverage known technological capabilities in machine learning, IoT, and blockchain to enhance diagnostic precision and treatment monitoring.

Obvious Combinations & Variations

Source Patent Element
Positron imaging tomography composition for bacterial infection detection
PTD Variation
Adding computer-aided diagnosis (CAD) system with machine learning algorithms to process PET images
Obviousness Reasoning
Applying machine learning to medical imaging is a well-established technique for enhancing diagnostic accuracy, representing a predictable application of known computational methods to existing imaging technologies
Source Patent Element
Radiochemical composition for detecting bacterial infections
PTD Variation
Integrating IoT-enabled sensors for real-time physiological parameter monitoring alongside PET imaging
Obviousness Reasoning
Combining sensor networks with medical imaging is a known approach for comprehensive diagnostic monitoring, representing a logical extension of existing diagnostic technologies
Source Patent Element
Fluorinated benzoic acid imaging agent
PTD Variation
Implementing blockchain-based data storage for secure medical image and treatment data management
Obviousness Reasoning
Utilizing blockchain for secure medical data management is a recognized trend in healthcare informatics, representing a predictable technological progression in medical record keeping
Source Patent Element
Bacterial infection diagnostic method
PTD Variation
Developing personalized treatment plans using AI-driven analysis of PET imaging data
Obviousness Reasoning
Personalized medicine approaches using computational analysis of medical imaging are well-established in the art, representing an expected innovation in diagnostic technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857352 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed diagnostic system variations obvious and predictable extensions of existing positron imaging and computational diagnostic methodologies. The incremental technological combinations represent standard engineering practices in medical diagnostic system design, thereby rendering potential claims covering such variations obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,352
TitlePositron imaging tomography imaging agent composition and method for bacterial infection
Assignee(s)The Research Foundation for The State of University New York