From SET Theory to Science 4.0: An AI-Driven Framework for Epigenetic Integrity and Biological Flow Control

Authors: Boblique J*

DOI: 10.23880/izab-16000669

Volume 9, Issue 1

Abstract

The transition to Science 4.0 represents a fundamental paradigm shift: moving from passive observation to the proactive navigation of biological flows. Building upon the Strategic Energy Transfer (SET) Theory and the identification of epigenetic bottlenecks specifically the locking mechanism of the NR3C1 gene this paper demonstrates how Artificial Intelligence (AI) enables the steering of genomic integrity. By modeling living organisms as complex logistical systems, Science 4.0 provides predictive maintenance tools to prevent systemic exhaustion and optimize biological resilience in high-pressure environments

Keywords: Science 4.0; SET Theory; NR3C1; Artificial Intelligence; Biological Logistics; Predictive Maintenance

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