AI-Enhanced Lung Preservation Tech for Transplantation

Publication ID: 24-11856944_0003_PTD

Published: October 26, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Enhanced Lung Preservation Tech for Transplantation,” Published Technical Disclosure No. 24-11856944_0003_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856944_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. 11,856,944.

Background and Problem Solved

Current organ preservation techniques have limitations in terms of lung function prediction, provenance tracking, and personalized transplantation. The original patent's organ care solution for ex-vivo machine perfusion of donor lungs has been significantly enhanced by incorporating AI, IoT, and blockchain technologies to address these limitations.

Novelty and Inventive Step

The invention's synergistic integration of AI, IoT, and blockchain technologies with the original patent's organ care solution provides a novel and non-obvious approach to ex-vivo lung care. The use of AI for lung function prediction, IoT for real-time monitoring, and blockchain for provenance tracking represents a significant departure from existing organ preservation techniques.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different AI algorithms, IoT sensor configurations, or blockchain platforms. Variations could also include the integration of additional technologies, such as machine vision or robotics, to further enhance the lung care system.

Potential Commercial Applications and Market

The intelligent ex-vivo lung care system has significant commercial potential in the organ transplantation market, particularly in the context of lung transplantation. The system's ability to enhance lung function prediction, provenance tracking, and personalized transplantation could increase the availability of donor lungs, reduce transplantation risks, and improve patient outcomes.

CPC Classifications

Section	Class	Group
A	A01	A01N1/0226
A	A01	A01N1/0247

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Biomedical engineering, specifically organ preservation techniques, ex-vivo organ care systems, and medical perfusion technologies with expertise in lung transplantation and preservation solutions

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical researcher with advanced degrees in bioengineering, medical technology, or related fields, possessing knowledge of organ preservation techniques, perfusion technologies, and emerging medical monitoring systems

Obviousness Rationale

A PHOSITA would recognize that integrating digital technologies like AI, IoT, and blockchain with established organ preservation methods represents a predictable technological evolution. The core perfusion solution remains substantially unchanged from the source patent, with digital monitoring and tracking technologies serving as complementary enhancements to existing organ care protocols. The technical variations represent straightforward applications of known digital technologies to an established medical preservation methodology.

Obvious Combinations & Variations

Source Patent Element

Ex-vivo machine perfusion method for donor lungs using specific nutrient and chemical composition

PTD Variation

Adding AI-driven real-time monitoring and predictive analytics to the perfusion process

Obviousness Reasoning

Applying machine learning to medical monitoring is a known technique with predictable results in improving diagnostic and preservation capabilities

Source Patent Element

Perfusion solution containing nutrients, colloids, and buffers

PTD Variation

Incorporating blockchain technology for provenance tracking and data verification

Obviousness Reasoning

Using blockchain for medical data integrity is a standard approach in emerging medical technologies with finite, predictable implementation strategies

Source Patent Element

Method of flushing donor lung with specific chemical composition

PTD Variation

Implementing IoT sensor networks to monitor perfusion solution composition in real-time

Obviousness Reasoning

Integrating sensor technologies for continuous medical monitoring represents a logical extension of existing preservation techniques with known technological approaches

Source Patent Element

Organ preservation method using specific chemical solutions

PTD Variation

Machine learning algorithms for personalized lung transplant matching based on genetic profiles

Obviousness Reasoning

Applying computational matching techniques to medical transplantation is a predictable application of existing machine learning technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856944 and the disclosed technological variations, a person of ordinary skill in the art would find the integration of digital monitoring, tracking, and predictive technologies with established ex-vivo lung preservation techniques to be obvious and non-inventive. The combination of known perfusion methodologies with emerging digital technologies represents a straightforward technological progression that would be apparent to a skilled practitioner in the field of organ preservation and medical technology.

Original Patent Information

Patent Number	US 11,856,944
Title	Organ care solution for ex-vivo machine perfusion of donor lungs
Assignee(s)	TRANSMEDICS, INC.