Ultrafiltration-based Systems for Diverse Applications

Publication ID: 24-11857713_0007_PTD

Published: October 28, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Ultrafiltration-based Systems for Diverse Applications,” Published Technical Disclosure No. 24-11857713_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857713_0007_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. 11,857,713.

Summary of the Inventive Concept

This inventive concept leverages the core technology of automated peritoneal dialysis to develop innovative solutions for precision agriculture, energy storage, personalized medicine, water-borne disease prevention, and smart building management.

Background and Problem Solved

The original patent addressed the limitations of traditional peritoneal dialysis by providing an automated system for patients. However, the core technology's potential applications extend beyond healthcare. This inventive concept solves the problem of inefficient resource allocation and lack of data-driven decision-making in various industries by applying the ultrafiltration principles to new use cases.

Detailed Description of the Inventive Concept

The inventive concept comprises systems and methods that adapt the automated peritoneal dialysis technology to distinct industries. For instance, in precision agriculture, the ultrafiltration curves generated by the machine learning module optimize irrigation schedules based on real-time soil moisture data. In energy storage, the automated peritoneal dialysis system models and predicts energy storage capacities using ultrafiltration curves. Similarly, in personalized medicine, the apparatus generates personalized treatment regimens based on genetic profiles and ultrafiltration curves. In water-borne disease prevention, the system predicts and prevents water-borne diseases by modeling and predicting water quality based on ultrafiltration curves. Lastly, in smart building management, the apparatus optimizes energy and water usage based on ultrafiltration curves and real-time building occupancy data.

Novelty and Inventive Step

The new claims introduce a non-obvious and novel application of the automated peritoneal dialysis technology to diverse industries, leveraging the ultrafiltration principles to provide data-driven insights and optimize resource allocation. The inventive step lies in recognizing the potential of this technology beyond healthcare and developing innovative solutions for various fields.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the ultrafiltration technology with IoT devices, developing mobile applications for real-time monitoring, or incorporating AI-powered predictive analytics. Variations could involve adapting the technology to different industries, such as environmental monitoring or industrial process control.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in various industries, including agriculture, energy, healthcare, and construction. The target market includes companies seeking to optimize resource allocation, improve decision-making, and reduce costs. The technology's adaptability to different industries and its potential to generate valuable insights make it an attractive solution for businesses and organizations looking to stay competitive.

CPC Classifications

Section	Class	Group
A	A61	A61M1/287
A	A61	A61M1/28
A	A61	A61M1/282
G	G06	G06Q10/087
G	G16	G16H20/10
G	G16	G16H20/40
A	A61	A61M2205/12
A	A61	A61M2205/3553
A	A61	A61M2205/3584
A	A61	A61M2205/52
G	G16	G16H15/00
G	G16	G16H40/20
G	G16	G16H50/50

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Biomedical engineering and medical device systems, with expertise in automated fluid management, machine learning-enabled medical technologies, and cross-domain system optimization

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, experience in medical device design, proficiency in machine learning algorithms, and understanding of fluid dynamics and system control principles

Obviousness Rationale

The PTD demonstrates that the core ultrafiltration and automated fluid management principles from the source patent can be systematically translated across multiple technical domains by applying well-established engineering design transfer methodologies. A PHOSITA would recognize that the fundamental fluid control and machine learning techniques disclosed in the automated peritoneal dialysis system are readily adaptable to other precision measurement and control scenarios. The variations represent predictable extensions of the source patent's core technological framework by substituting domain-specific input parameters while maintaining the underlying system architecture.

Obvious Combinations & Variations

Source Patent Element

Automated fluid management system with pump, solution containers, and logic implementer for precise liquid transfer

PTD Variation

Applying the same fluid management principles to precision agriculture irrigation control

Obviousness Reasoning

Known technique of transferring control system architectures between domains with predictable results, where the core fluid transfer logic remains consistent across different application contexts

Source Patent Element

Machine learning module for generating ultrafiltration curves based on system parameters

PTD Variation

Extending machine learning approach to energy storage capacity prediction and water quality monitoring

Obviousness Reasoning

Predictable application of existing machine learning techniques to generate predictive models in analogous measurement and monitoring scenarios

Source Patent Element

Unique identifier system for tracking solution characteristics and system parameters

PTD Variation

Implementing similar tracking mechanisms for genetic profiles, building occupancy data, and environmental monitoring

Obviousness Reasoning

Obvious design choice to apply existing parameter tracking and identification methodologies across different information management contexts

Source Patent Element

Automated system with configurable parameters for personalized medical treatment

PTD Variation

Adapting the system architecture for personalized treatment regimens and resource optimization strategies

Obviousness Reasoning

Predictable extension of existing personalization techniques by substituting domain-specific input parameters while maintaining core system logic

Source Patent Element

Integrated pump and valve system for precise liquid transfer and management

PTD Variation

Translating liquid management principles to energy and water resource allocation in smart building systems

Obviousness Reasoning

Known engineering technique of applying fluid control principles to resource management with expected and predictable technological transfer

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857713 and the disclosed variations, a Person Having Ordinary Skill In The Art would find the claimed innovations obvious through systematic technological transfer, where the core automated fluid management and machine learning principles are predictably extended across multiple technical domains. The variations represent routine engineering design choices that would be apparent to a skilled practitioner, thereby rendering potential patent claims in these areas unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,713
Title	Automated peritoneal dialysis system
Assignee(s)	BAXTER HEALTHCARE SA, BAXTER INTERNATIONAL INC.