Personalized and Adaptive CAR-T Cell Therapy System

Publication ID: 24-11857572_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized and Adaptive CAR-T Cell Therapy System,” Published Technical Disclosure No. 24-11857572_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857572_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. 11,857,572.

Summary of the Inventive Concept

A next-generation CAR-T cell therapy system that leverages machine learning, CRISPR-Cas technology, and point-of-care manufacturing to provide personalized and adaptive treatment for cancer patients.

Background and Problem Solved

The original patent describes a method for preparing CAR-T cells with TCM as the main active component, but it has limitations in terms of scalability, adaptability, and patient specificity. The new inventive concept addresses these limitations by introducing a system that can generate CAR-T cells tailored to individual patients' tumor associated antigens, adapt to changing tumor profiles, and enable point-of-care manufacturing.

Detailed Description of the Inventive Concept

The system consists of a database of patient-specific tumor associated antigens, a CAR-T cell generator, and a machine learning module that predicts the optimal CAR-T cell composition for each patient. The CAR-T cells are engineered with modular antigen-binding domains that can be modified in-situ using CRISPR-Cas technology to adapt to changing tumor associated antigens. The point-of-care manufacturing device enables rapid and personalized CAR-T cell production, reducing the need for centralized manufacturing and logistics. Additionally, the system can be used to develop CAR-T cell-based cancer vaccines that induce durable anti-tumor immune responses.

Novelty and Inventive Step

The new claims introduce a paradigm shift in CAR-T cell therapy by integrating machine learning, CRISPR-Cas technology, and point-of-care manufacturing to provide personalized and adaptive treatment. The use of modular antigen-binding domains, CRISPR-Cas technology, and machine learning algorithms to predict optimal CAR-T cell composition are novel and non-obvious features that distinguish the new inventive concept from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different machine learning algorithms, integrating additional biomarkers or genomic data, or incorporating other gene editing technologies. Variations of the point-of-care manufacturing device could include different microfluidic systems, user interfaces, or miniaturized CAR-T cell generators.

Potential Commercial Applications and Market

The personalized and adaptive CAR-T cell therapy system has the potential to revolutionize the cancer treatment landscape, providing a more effective and targeted approach to cancer therapy. The market potential is significant, with applications in various cancer types, including solid tumors and hematological malignancies. The system could also be used for cancer vaccine development, further expanding its commercial potential.

Field of Art

Immunotherapy, CAR-T cell engineering, cancer treatment biotechnology, with expertise in T cell manipulation, genetic modification, and personalized therapeutic approaches

Person of Ordinary Skill (PHOSITA) Profile

A biomedical researcher or biotechnology engineer with advanced degree (PhD/MD), specialized knowledge in immunology, genetic engineering techniques, CAR-T cell design, and experience with CRISPR and machine learning applications in personalized medicine

Obviousness Rationale

A PHOSITA would recognize that the disclosed personalized CAR-T cell system represents predictable extensions of existing CAR-T cell technologies, leveraging known genetic modification techniques, machine learning approaches, and adaptive engineering strategies that were emerging in the field at the time of the source patent. The modular design and in-situ modification concepts are logical progressions from established CAR-T cell engineering principles disclosed in the source patent. The integration of machine learning and CRISPR technologies represents an obvious optimization strategy for improving CAR-T cell therapeutic efficacy.

Obvious Combinations & Variations

Source Patent Element
CAR-T cell method with artificial antigenic epitope in extracellular domain
PTD Variation
Modular antigen-binding domains that can be dynamically modified using CRISPR-Cas technology
Obviousness Reasoning
Known genetic engineering techniques make domain-level modifications a predictable design choice for improving antigen targeting specificity
Source Patent Element
Central memory T cell (Tcm) activation method
PTD Variation
Machine learning algorithms for predicting optimal CAR-T cell composition based on patient-specific tumor antigens
Obviousness Reasoning
Computational approaches for optimizing cell therapies were emerging techniques that a PHOSITA would find obvious for improving treatment personalization
Source Patent Element
T cell genetic modification for therapeutic purposes
PTD Variation
Point-of-care manufacturing device for rapid, personalized CAR-T cell production
Obviousness Reasoning
Decentralizing and miniaturizing cell therapy manufacturing represents a logical technological progression driven by desire for faster, more accessible treatments
Source Patent Element
CAR-T cell targeting methodology
PTD Variation
Self-evolving antigen-binding domains that can adapt to changing tumor associated antigens
Obviousness Reasoning
Adaptive targeting strategies are a natural extension of existing CAR-T cell engineering principles, representing an obvious solution to tumor heterogeneity challenges
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857572 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed personalized CAR-T cell therapy system and associated methods to be obvious variations of existing CAR-T cell engineering approaches. The integration of machine learning, CRISPR-Cas technology, and adaptive targeting methodologies represents predictable technological extensions that would be readily conceived by a skilled practitioner in the field of immunotherapy and genetic engineering.

Original Patent Information

Patent NumberUS 11,857,572
TitleMethod for preparing CAR-T cell with TCM as main active component and use thereof
Assignee(s)Xuanwu Hospital Capital Medical University