Synergistic Combinations for Enhanced GVHD Risk Reduction

Publication ID: 24-11857610_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Combinations for Enhanced GVHD Risk Reduction,” Published Technical Disclosure No. 24-11857610_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857610_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. 11,857,610.

Summary of the Inventive Concept

This inventive concept integrates alpha-1 antitrypsin administration with distinct technologies, such as AI, IoT, blockchain, and novel biomaterials, to create a more powerful system for reducing the risk of onset of acute graft versus host disease after hematopoietic cell transplantation.

Background and Problem Solved

The original patent disclosed methods for reducing the risk of development of graft versus host disease (GVHD) in patients receiving hematopoietic cell transplantation (HCT) by administering alpha-1 antitrypsin (A1AT). However, these methods have limitations in terms of personalized risk assessment, real-time monitoring, and optimized dosing schedules. The new inventive concept addresses these limitations by integrating A1AT administration with advanced technologies to provide a more comprehensive and effective solution.

Detailed Description of the Inventive Concept

The new inventive concept comprises five synergistic combinations: (1) a wearable device and AI-powered analytics module for predicting GVHD risk and triggering A1AT administration; (2) a machine learning-based method for personalized GVHD risk assessment and prevention; (3) a blockchain-based system for tracking and verifying A1AT administration and GVHD risk assessment; (4) a nanoparticle-based biomaterial for delivering A1AT with enhanced bioavailability and reduced immunogenicity; and (5) an IoT-enabled health monitoring system for tracking patient health metrics and identifying early GVHD warning signs. These combinations enable real-time monitoring, personalized risk assessment, and optimized dosing schedules, leading to improved GVHD risk reduction.

Novelty and Inventive Step

The new claims introduce novel combinations of A1AT administration with distinct technologies, which are not obvious from the original patent. The integration of AI, IoT, blockchain, and novel biomaterials with A1AT administration provides a non-obvious solution that addresses the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include using different types of wearable devices, AI algorithms, or biomaterials. Variations may also include integrating A1AT administration with other technologies, such as virtual reality or natural language processing, to enhance patient engagement and outcomes.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the healthcare industry, particularly in the fields of hematopoietic cell transplantation and immunotherapy. The target market includes hospitals, research institutions, and pharmaceutical companies involved in GVHD risk reduction and management.

CPC Classifications

SectionClassGroup
A A61 A61K38/57
A A61 A61K35/12
A A61 A61P37/06
A A61 A61K2035/124

Field of Art

Medical biotechnology focused on hematopoietic cell transplantation, immunomodulation, and therapeutic intervention strategies for graft versus host disease management

Person of Ordinary Skill (PHOSITA) Profile

A medical researcher or clinician with advanced degrees in immunology, biotechnology, or medical engineering, possessing expertise in transplantation medicine, data analytics, and biomedical technology integration

Obviousness Rationale

A PHOSITA would recognize that integrating digital monitoring technologies with established A1AT administration protocols represents a predictable technological evolution in personalized medical treatment. The source patent's foundational method of A1AT administration provides a clear framework for technological augmentation using emerging digital health technologies. The disclosed variations represent logical extensions of existing medical monitoring and intervention strategies that would be apparent to a skilled practitioner seeking to optimize treatment protocols.

Obvious Combinations & Variations

Source Patent Element
A1AT administration schedule for reducing GVHD risk after hematopoietic cell transplantation
PTD Variation
AI-powered analytics module for predicting GVHD risk and triggering A1AT administration
Obviousness Reasoning
Implementing predictive analytics for medication administration is a known technique in precision medicine, representing a predictable application of machine learning to existing clinical protocols
Source Patent Element
Immunosuppressive agent administration alongside A1AT treatment
PTD Variation
Blockchain-based system for tracking medication administration and patient risk assessment
Obviousness Reasoning
Digitizing medical record tracking and intervention monitoring is a standard technological progression in healthcare information management
Source Patent Element
Standard A1AT dosing protocols
PTD Variation
Nanoparticle-based biomaterial for enhanced A1AT delivery with reduced immunogenicity
Obviousness Reasoning
Developing advanced drug delivery mechanisms is a routine approach in pharmaceutical engineering to improve therapeutic efficacy and patient outcomes
Source Patent Element
Patient monitoring during HCT procedure
PTD Variation
IoT-enabled health monitoring system for tracking patient metrics and identifying early GVHD warning signs
Obviousness Reasoning
Integrating sensor-based monitoring with clinical intervention strategies represents a logical technological extension of existing medical surveillance techniques
Source Patent Element
Personalized HCT risk assessment
PTD Variation
Machine learning-based genomic analysis for customized GVHD risk prediction and intervention
Obviousness Reasoning
Applying computational analysis to genetic risk assessment is a standard approach in contemporary precision medicine research
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857610 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed combinations of A1AT administration with digital health technologies to be obvious extensions of existing medical intervention strategies, thereby rendering potential patent claims in this domain anticipated and non-patentable under standard obviousness analysis.

Original Patent Information

Patent NumberUS 11,857,610
TitleMethods for reducing risk of onset of acute graft versus host disease after hematopoietic cell transplantation
Assignee(s)CSL Behring AG