Synergistic Cancer Treatment System

Publication ID: 24-11857571_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Cancer Treatment System,” Published Technical Disclosure No. 24-11857571_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857571_0008_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. 11,857,571.

Summary of the Inventive Concept

A comprehensive system integrating anti-MICA antigen binding fragments with AI, IoT, blockchain, and new materials to revolutionize cancer treatment

Background and Problem Solved

The original patent disclosed anti-MICA antigen binding fragments for cancer treatment. However, it lacked a comprehensive system to optimize treatment regimens, ensure secure tracking, and provide personalized therapy. The new inventive concept addresses these limitations by integrating distinct technologies to create a more powerful system

Detailed Description of the Inventive Concept

The synergistic system comprises a bi-specific T-cell engager, an artificial intelligence module for optimizing treatment regimens, a blockchain-based system for secure tracking, a composite material for cancer immunotherapy, and an IoT device for monitoring efficacy. The bi-specific T-cell engager is a fusion protein with two different single-chain variable fragments (scFvs), one binding to MICA or MICB and the other to an immune cell target. The AI module analyzes patient genomic data to identify specific MICA or MICB epitopes associated with the patient's cancer. The blockchain-based system ensures compliance with regulatory requirements, while the composite material provides a biodegradable polymer matrix for dispersing the bi-specific T-cell engager. The IoT device monitors the efficacy of the bi-specific T-cell engager, detecting the presence of MICA or MICB on cancer cells

Novelty and Inventive Step

The new claims introduce a synergistic combination of anti-MICA antigen binding fragments with AI, IoT, blockchain, and new materials, which is not obvious from the original patent. The integration of these distinct technologies creates a more powerful system that provides a novel approach to cancer treatment

Alternative Embodiments and Variations

Alternative embodiments may include using different AI algorithms, blockchain platforms, or composite materials. Variations may also include integrating additional technologies, such as CRISPR gene editing, to further enhance the system's capabilities

Potential Commercial Applications and Market

The synergistic cancer treatment system has significant commercial potential in the pharmaceutical and biotechnology industries, with potential applications in personalized cancer treatment, cancer immunotherapy, and precision medicine

Field of Art

Biotechnology, immunotherapy, and molecular biology, with expertise in chimeric antigen receptors (CARs), antibody engineering, and cancer treatment technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled researcher with a PhD in biotechnology or molecular biology, experienced in antibody design, cancer immunotherapy, and protein engineering techniques, familiar with emerging technologies like AI and IoT in medical applications

Obviousness Rationale

A person of ordinary skill would recognize that combining the source patent's anti-MICA antibody fragment technology with emerging digital and material technologies represents a predictable extension of existing cancer immunotherapy approaches. The fundamental molecular engineering principles underlying the anti-MICA CAR are readily adaptable to more complex systemic treatment strategies. The integration of AI, blockchain, and IoT represents a natural progression of personalized medicine technologies that a skilled practitioner would find obvious given the state of biotechnology and digital health innovations.

Obvious Combinations & Variations

Source Patent Element
Anti-MICA antibody fragment (scFv) from source patent US 11857571
PTD Variation
Bi-specific T-cell engager using scFv with additional immune cell targeting fragment
Obviousness Reasoning
Combining multiple antibody fragments is a known technique in protein engineering, with predictable results in enhancing targeted cellular interactions
Source Patent Element
Polynucleotide encoding chimeric antigen receptor
PTD Variation
AI-driven genomic analysis for personalized epitope targeting
Obviousness Reasoning
Applying machine learning to personalize molecular targeting is a predictable application of existing computational biology techniques
Source Patent Element
Antigen binding fragment with specific variable regions
PTD Variation
Composite material delivery system for controlled immunotherapy
Obviousness Reasoning
Using biodegradable polymer matrices for targeted drug delivery is a well-established technique in biomaterials engineering
Source Patent Element
MICA-targeted molecular construct
PTD Variation
IoT-enabled monitoring of cancer cell surface markers
Obviousness Reasoning
Integrating sensor technologies with molecular diagnostics represents a predictable advancement in personalized medical monitoring
Source Patent Element
Chimeric antigen receptor design
PTD Variation
Blockchain-based tracking of immunotherapy treatments
Obviousness Reasoning
Applying blockchain to medical treatment tracking is an obvious extension of existing digital record-keeping technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857571 and the disclosed variations, a person of ordinary skill in the art would find the claimed innovations obvious. The systematic combination of anti-MICA antibody fragment technologies with AI, IoT, blockchain, and advanced material systems represents a predictable and incremental advancement in cancer immunotherapy, lacking the requisite non-obviousness for patent protection.

Original Patent Information

Patent NumberUS 11,857,571
TitleAnti-mica antigen binding fragments, fusion molecules, cells which express and methods of using
Assignee(s)The Trustees of Dartmouth College