Intelligent Fluid Control Systems for Enhanced Bodily Fluid Sampling

Publication ID: 24-11857321_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Fluid Control Systems for Enhanced Bodily Fluid Sampling,” Published Technical Disclosure No. 24-11857321_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857321_0005_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. 11,857,321.

Summary of the Inventive Concept

A next-generation fluid control system integrating machine learning, nanofiltration, and real-time contamination monitoring to provide highly accurate and personalized bodily fluid sampling, reducing contaminants and improving diagnostic outcomes.

Background and Problem Solved

The original patent addresses the issue of contaminants in bodily fluid samples, but its limitations include the lack of adaptability to individual patient needs and the potential for human error. The new inventive concept tackles these limitations by incorporating advanced technologies to create a more intelligent and efficient fluid control system.

Detailed Description of the Inventive Concept

The system comprises a fluid control device, a machine learning module, and a nanofiltration unit. The fluid control device receives an initial volume of bodily fluid and sequesters contaminants therein. The machine learning module predicts the likelihood of contamination based on patient-specific data and adjusts the sequestration process accordingly. The nanofiltration unit removes contaminants from the initial volume, and a sensor detects contaminants in real-time, adjusting the nanofiltration process accordingly. The system can be integrated with a cloud-based analytics platform for analyzing sensor data and providing recommendations for optimal sequestration parameters.

Novelty and Inventive Step

The integration of machine learning, nanofiltration, and real-time contamination monitoring in a fluid control system is a novel and non-obvious advancement over the original patent. The use of patient-specific data to predict contamination likelihood and adjust the sequestration process in real-time is a significant inventive step.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different machine learning algorithms, various nanofiltration materials, or alternative sensor technologies. Variations may include the integration of robotic arms for automated fluid control device adjustment or the use of blockchain technology for secure data storage and analysis.

Potential Commercial Applications and Market

The intelligent fluid control system has significant commercial potential in the healthcare industry, particularly in the fields of diagnostic testing, personalized medicine, and precision health. The system's ability to reduce contaminants and improve diagnostic outcomes can lead to increased adoption in hospitals, clinics, and research institutions.

Field of Art

Biomedical engineering, specifically fluid sampling systems, diagnostic device design, and medical instrumentation with expertise in microfluidics, contamination control, and sample processing technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, 3-5 years professional experience in medical device design, familiar with microfluidic systems, contamination mitigation techniques, and emerging diagnostic technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and sensor-based contamination monitoring represent predictable extensions of the source patent's core fluid sequestration methodology. The fundamental goal of reducing bodily fluid contamination remains consistent, with the PTD introducing incremental technological enhancements using known machine learning and sensor integration techniques. These variations represent logical technological progressions that would be obvious to a skilled practitioner seeking to improve fluid sampling precision.

Obvious Combinations & Variations

Source Patent Element
Housing forming a sequestration chamber with inlet and outlet for bodily fluid sample procurement
PTD Variation
Adding machine learning module to predict contamination likelihood and dynamically adjust sequestration parameters
Obviousness Reasoning
Predictable application of machine learning to optimize existing fluid control process, representing a known technique for improving diagnostic precision
Source Patent Element
Flow controller with deformable portions for managing fluid movement
PTD Variation
Integrating nanofiltration unit and real-time sensor monitoring to enhance contaminant removal
Obviousness Reasoning
Logical enhancement using known filtration and sensing technologies to improve existing fluid control methodology
Source Patent Element
Bodily fluid sample procurement apparatus with contamination reduction goals
PTD Variation
Cloud-based analytics platform for analyzing sensor data and providing sequestration recommendations
Obviousness Reasoning
Predictable digital transformation of existing medical device technology, representing standard technological progression
Source Patent Element
Fluid control device with suction-based sample collection
PTD Variation
Robotic arm integration for automated device adjustment based on patient-specific parameters
Obviousness Reasoning
Obvious mechanical automation of existing manual fluid sampling processes using standard robotics techniques
Source Patent Element
Initial volume of bodily fluid sequestration in controlled chamber
PTD Variation
Patient-specific data analysis to determine optimal sequestration parameters
Obviousness Reasoning
Predictable personalization of medical device functionality using known data analysis and machine learning approaches
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this Published Technical Disclosure would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, based on the teachings of US Patent 11857321. The incremental technological enhancements representing machine learning integration, sensor-based monitoring, and personalized diagnostic approaches constitute predictable extensions of the source patent's fundamental fluid sampling methodology, thereby rendering potential derivative claims obvious and non-patentable.

Original Patent Information

Patent NumberUS 11,857,321
TitleFluid control devices and methods of using the same
Assignee(s)Magnolia Medical Technologies, Inc.