Published Technical Disclosure Archive

Personalized Peritoneal Dialysis System with AI-Driven Optimization

Publication ID: 24-11857713_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Peritoneal Dialysis System with AI-Driven Optimization,” Published Technical Disclosure No. 24-11857713_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857713_0010_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

A next-generation automated peritoneal dialysis system that leverages AI, wearable sensors, and cloud-based interfaces to optimize personalized treatment regimens, predicting ultrafiltration curves, and enhancing patient outcomes.

Background and Problem Solved

The original patent's automated peritoneal dialysis system, while adaptable to patient needs, lacks real-time monitoring and AI-driven optimization. The new inventive concept addresses this limitation by integrating wearable sensors, machine learning, and cloud-based collaboration to provide personalized treatment regimens, improving solute clearance and ultrafiltration.

Detailed Description of the Inventive Concept

The system comprises a wearable sensor for monitoring physiological responses to different dialysate formulations, a machine learning module for generating predictive models of ultrafiltration and solute clearance, and a cloud-based interface for remote consultation and collaboration between healthcare professionals and patients. The system can predict individual ultrafiltration curves, optimize treatment regimens using genetic algorithms, and provide real-time feedback on treatment efficacy.

Novelty and Inventive Step

The new claims introduce AI-driven optimization, wearable sensors, and cloud-based collaboration, which are not present in the original patent. The inventive step lies in the integration of these components to provide personalized treatment regimens, enabling real-time monitoring and adaptation to patient needs.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different types of sensors, such as implantable or ingestible sensors, or the integration of additional data sources, such as electronic health records or patient-reported outcomes. Variations may include the use of different machine learning algorithms or the development of specialized software for specific patient populations.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device industry, particularly in the peritoneal dialysis market. The system's ability to optimize treatment regimens and improve patient outcomes can lead to increased adoption and market share. Target industries include healthcare providers, medical device manufacturers, and pharmaceutical companies.

CPC Classifications

SectionClassGroup
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

Field of Art

Medical Device Technology and Healthcare Informatics, focusing on automated peritoneal dialysis systems, medical sensor technologies, and AI-driven healthcare optimization. Requires expertise in medical device engineering, sensor design, machine learning, and healthcare data analysis.

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, medical device design, or healthcare informatics. Possesses knowledge of dialysis technologies, sensor integration, machine learning algorithms, and cloud-based medical data platforms.

Obviousness Rationale

A PHOSITA would recognize that integrating AI, wearable sensors, and cloud-based interfaces with existing automated peritoneal dialysis systems represents a predictable technological evolution. The source patent's focus on personalized dialysis treatment naturally suggests the next logical step of incorporating real-time monitoring and adaptive optimization technologies. The technical challenges of implementing such systems would be considered routine engineering problem-solving within the field.

Obvious Combinations & Variations

Source Patent Element
Automated peritoneal dialysis apparatus with multiple solution containers and unique identifiers
PTD Variation
Modular, plug-and-play cartridge system with automatic configuration and detection
Obviousness Reasoning
A PHOSITA would find it obvious to extend the existing unique identifier system to create a more flexible, interchangeable dialysate delivery mechanism. This represents a predictable application of known container identification technologies to improve system modularity.
Source Patent Element
Dialysis system with variable dextrose concentration solutions
PTD Variation
Machine learning module for predicting ultrafiltration curves based on individual patient characteristics
Obviousness Reasoning
The source patent's emphasis on personalized treatment naturally suggests using advanced data analysis techniques to optimize dialysis parameters. A PHOSITA would recognize machine learning as a known technique for extracting predictive insights from medical data.
Source Patent Element
Automated peritoneal dialysis apparatus with logic implementation
PTD Variation
Cloud-based interface for remote consultation and treatment optimization
Obviousness Reasoning
Extending the existing logic implementation to include remote monitoring and collaborative treatment planning represents a straightforward technological progression. A PHOSITA would view this as a predictable application of existing cloud computing and telemedicine technologies.
Source Patent Element
Peritoneal dialysis system with solution containers and pumps
PTD Variation
Wearable sensor system for monitoring physiological responses during treatment
Obviousness Reasoning
Integrating real-time physiological monitoring with an existing dialysis system is a logical extension of personalized medical technology. A PHOSITA would recognize this as a natural evolution of patient-centric medical device design.
Source Patent Element
Dialysis system with variable solution formulations
PTD Variation
Genetic algorithm for optimizing treatment regimens based on patient-specific parameters
Obviousness Reasoning
The source patent's focus on personalized treatment naturally suggests using advanced optimization techniques. A PHOSITA would find it obvious to apply genetic algorithms as a known method for generating personalized medical treatment strategies.
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857713 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and anticipated. The combination of known medical device technologies, sensor integration, and machine learning techniques represents a predictable and routine extension of existing peritoneal dialysis system design principles, thereby rendering the claimed innovations obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,713
TitleAutomated peritoneal dialysis system
Assignee(s)BAXTER HEALTHCARE SA, BAXTER INTERNATIONAL INC.