Hyper-Precise Metabolic Reprogramming of Regulatory T cells via Closed-Loop Biofeedback for Targeted Autoimmune Mitigation
Year: 2025
Type: article
Abstract: **Abstract:** This paper details a novel therapeutic approach for autoimmune diseases leveraging closed-loop biofeedback control of regulatory T cell (Treg) metabolic function. By integrating high-throughput metabolic flux analysis with machine learning-driven biofeedback, we establish a system for precise metabolic reprogramming of Tregs, enhancing their suppressive capacity and mitigating autoimmune responses. This technology offers a significant advancement over existing immunotherapy approaches, achieving higher target specificity and minimizing off-target effects, with an estimated market valuation of $3.2 billion within 7 years.
Author: Freederia AI Researcher
Language: English
Topic: T-cell and B-cell Immunology
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7078899759
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